Carson K. Leung

Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14, 2021

Scalable Mining of Big Data.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE SmartWorld, 2021

Smart City Transportation Data Analytics with Conceptual Models and Knowledge Graphs.

[BibT_eX]

[DOI]

Yan Wen

Proceedings of the 2021 IEEE SmartWorld, 2021

An Effective and Efficient Graph Representation Learning Approach for Big Graphs.

[BibT_eX]

[DOI]

Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

Non-Linear Analytic Prediction of IP Addresses for Supporting Cyber Attack Detection and Analysis.

[BibT_eX]

[DOI]

Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

Mining Sequential Patterns in Uncertain Databases Using Hierarchical Index Structure.

[BibT_eX]

[DOI]

Kashob Kumar Roy

Md Hasibul Haque Moon

Md Mahmudur Rahman

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Discriminating Frequent Pattern Based Supervised Graph Embedding for Classification.

[BibT_eX]

[DOI]

Md. Tanvir Alam

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Mining Frequent Patterns from Hypergraph Databases.

[BibT_eX]

[DOI]

Md. Tanvir Alam

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

A Visual Data Science Solution for Visualization and Visual Analytics of Big Sequential Data.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference Information Visualisation, 2021

Smart Data Analytics on COVID-19 Data.

[BibT_eX]

[DOI]

Chenru Zhao

Proceedings of the 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2021

Revealing COVID-19 Data by Data Mining and Visualization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Networking and Collaborative Systems, 2021

Mining High Utility Subgraphs.

[BibT_eX]

[DOI]

Md. Tanvir Alam

Amit Roy

Md. Ashraful Islam

Proceedings of the 2021 International Conference on Data Mining, 2021

Predictive Analytics of COVID-19 with Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Explainable Data Analytics for Disease and Healthcare Informatics.

[BibT_eX]

[DOI]

Proceedings of the IDEAS 2021: 25th International Database Engineering & Applications Symposium, 2021

Natural Sciences Meet Social Sciences: Census Data Analytics for Detecting Home Language Shifts.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Ubiquitous Information Management and Communication, 2021

A Digital Health System for Disease Analytics.

[BibT_eX]

[DOI]

Nguyen Duy Thong Tran

Proceedings of the IEEE International Conference on Digital Health, 2021

UFreS: A New Technique for Discovering Frequent Subgraph Patterns in Uncertain Graph Databases.

[BibT_eX]

[DOI]

Riddho Ridwanul Haque

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Big Data Mining on Health Informatics Data for Cities.

[BibT_eX]

[DOI]

Qi Wen

Chenru Zhao

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

Supporting Privacy-Preserving Big Data Analytics on Temporal Open Big Data.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2021) / The 11th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2021), 2021

Predictive Big Data Analytics for Service Requests: A Framework.

[BibT_eX]

[DOI]

Animesh Singh Chauhan

Explainable Artificial Intelligence for Data Science on Customer Churn.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

Health Analytics on COVID-19 Data with Few-Shot Learning.

[BibT_eX]

[DOI]

Daryl L. X. Fung

Proceedings of the Big Data Analytics and Knowledge Discovery, 2021

Analyzing COVID-19 Epidemiological Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intl Conf on Dependable, 2021

Distributed Big Data Computing for Supporting Predictive Analytics of Service Requests.

[BibT_eX]

[DOI]

Animesh Singh Chauhan

Lihe Fan

Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

A Bayesian Framework for Supporting Predictive Analytics over Big Transportation Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

A Data Science Solution for Supporting Social and Economic Analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

Spatial-Temporal Data Science of COVID-19 Data.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Conference on Big Data Science and Engineering, 2021

Privacy-Preserving Publishing and Visualization of Spatial-Temporal Information.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Open Data Lake to Support Machine Learning on Arctic Big Data.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Conceptual Modeling and Smart Computing for Big Transportation Data.

[BibT_eX]

[DOI]

Yan Wen

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2021

Health Analytics on Big COVID-19 Data.

[BibT_eX]

[DOI]

Nguyen Duy Thong Tran

Daryl L. X. Fung

Thanh Huy Daniel Mai

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Predictive Analytics to Support Health Informatics on COVID-19 Data.

[BibT_eX]

[DOI]

Thanh Huy Daniel Mai

Nguyen Duy Thong Tran

Christine Y. Zhang

Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

A mathematical model for friend discovery from dynamic social graphs.

[BibT_eX]

[DOI]

Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

Compressing and mining social network data.

[BibT_eX]

[DOI]

Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

Privacy-Preserving Healthcare Analytics of Trajectory Data.

[BibT_eX]

[DOI]

Isabelle M. Anderson-Grégoire

Qi Wen

Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

A Big Data Science Solution for Analytics on Moving Objects.

[BibT_eX]

[DOI]

Kaitlyn A. Horner

Delica S. Leboe-McGowan

Beni Reydman

Proceedings of the Advanced Information Networking and Applications, 2021

2020

Effective privacy preserving data publishing by vectorization.

[BibT_eX]

[DOI]

Inf. Sci., 2020

A Two-Dimensional Sparse Matrix Profile DenseNet for COVID-19 Diagnosis Using Chest CT Images.

[BibT_eX]

[DOI]

Qian Liu

Pingzhao Hu

IEEE Access, 2020

Analytics of Similar-Sounding Names from the Web with Phonetic Based Clustering.

[BibT_eX]

[DOI]

Joshua D. Hamilton

Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

Explainable Machine Learning and Mining of Influential Patterns from Sparse Web.

[BibT_eX]

[DOI]

Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

Predictive analytics on open big data for supporting smart transportation services.

[BibT_eX]

[DOI]

Paul Patrick F. Balbin

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

Big Data Visualization and Visual Analytics of COVID-19 Data.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Information Visualisation, 2020

Identifying the Right Person in Social Networks with Double Metaphone Codes.

[BibT_eX]

[DOI]

Joshua D. Hamilton

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Temporal Data Analytics on COVID-19 Data with Ubiquitous Computing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Data Mining on Open Public Transit Data for Transportation Analytics During Pre-COVID-19 Era and COVID-19 Era.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Networking and Collaborative Systems - The 12th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2020), Victoria, BC, Canada, 31 August, 2020

Data science for healthcare predictive analytics.

[BibT_eX]

[DOI]

Proceedings of the IDEAS 2020: 24th International Database Engineering & Applications Symposium, 2020

Cognitive and Predictive Analytics on Big Open Data.

[BibT_eX]

[DOI]

Duncan P. Taylor-Quiring

Nicholas J. Wiebe

Proceedings of the Cognitive Computing - ICCC 2020, 2020

Spatial Data Science of COVID-19 Data.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

Prediction of Food Preparation Time for Smart City.

[BibT_eX]

[DOI]

An Innovative Fuzzy Logic-Based Machine Learning Algorithm for Supporting Predictive Analytics on Big Transportation Data.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

An Effective and Efficient Technique for Supporting Privacy-Preserving Keyword-Based Search over Encrypted Data in Clouds.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2020) / The 10th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2020) / Affiliated Workshops, 2020

A Combined Deep-Learning and Transfer-Learning Approach for Supporting Social Influence Prediction.

[BibT_eX]

[DOI]

Privacy-Preserving Spatio-Temporal Patient Data Publishing.

[BibT_eX]

[DOI]

Ratna Choudhury

Proceedings of the Database and Expert Systems Applications, 2020

Big Data Science on COVID-19 Data.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Big Data Science and Engineering, 2020

Preserving Privacy of Temporal Big Data.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Machine Learning and OLAP on Big COVID-19 Data.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Predictive Analytics on Genomic Data with High-Performance Computing.

[BibT_eX]

[DOI]

Christine Y. Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

A Theoretical Approach for Discovery of Friends from Directed Social Graphs.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

Compression for Very Sparse Big Social Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

An Innovative Big Data Predictive Analytics Framework over Hybrid Big Data Sources with an Application for Disease Analytics.

[BibT_eX]

[DOI]

Proceedings of the Advanced Information Networking and Applications, 2020

2019

AI-Based Sensor Information Fusion for Supporting Deep Supervised Learning.

[BibT_eX]

[DOI]

Sensors, 2019

Mining weighted frequent sequences in uncertain databases.

[BibT_eX]

[DOI]

Md Mahmudur Rahman

Inf. Sci., 2019

An HSV-Based Visual Analytic System for Data Science on Music and Beyond.

[BibT_eX]

[DOI]

Int. J. Art Cult. Des. Technol., 2019

Efficient mining of extraordinary patterns by pruning and predicting.

[BibT_eX]

[DOI]

Junqiang Liu

Zhongmin Chang

Raymond C. W. Wong

Yabo Xu

Rong Zhao

Expert Syst. Appl., 2019

Advances in cloud and big data computing.

[BibT_eX]

[DOI]

Ladjel Bellatreche

Md Shahadat Hossain Shahin

Yinglong Xia

Didier El Baz

Concurr. Comput. Pract. Exp., 2019

Big Data Analysis and Services: Visualization on Smart Data to Support Healthcare Analytics.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2019

Sliding window based weighted periodic pattern mining over time series data.

[BibT_eX]

Redwan Ahmed Rizvee

Deyu Deng

Jiaxing Jason Mai

Proceedings of the Advances in Data Mining, 2019

An efficient approach for mining weighted frequent patterns with dynamic weights.

[BibT_eX]

Umama Dewan

Proceedings of the Advances in Data Mining, 2019

WeFreS: weighted frequent subgraph mining in a single large graph.

[BibT_eX]

Nahian Ashraf

Riddho Ridwanul Haque

Md. Ashraful Islam

Jiaxing Jason Mai

Bryan H. Wodi

Proceedings of the Advances in Data Mining, 2019

A Theoretical Approach to Discover Mutual Friendships from Social Graph Networks.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services, 2019

Pattern mining for knowledge discovery.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Database Applications & Engineering Symposium, 2019

An Innovative Deep-Learning Algorithm for Supporting the Approximate Classification of Workloads in Big Data Environments.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Discovering Correlation in Frequent Subgraphs.

[BibT_eX]

[DOI]

Fariha Moomtaheen Upoma

Salsabil Ahmed Khan

Tahira Alam

Sabit Anwar Zahin

Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication, 2019

Mining Weighted Frequent Patterns from Uncertain Data Streams.

[BibT_eX]

[DOI]

Jesan Ahammed Ovi

Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication, 2019

Mining Regular High Utility Sequential Patterns in Static and Dynamic Databases.

[BibT_eX]

[DOI]

Sabrina Zaman Ishita

Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication, 2019

Cognitive-Based Hybrid Collaborative Filtering with Rating Scaling on Entropy to Defend Shilling Influence.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Networks, Communication and Computing, 2019

Fast privacy-preserving keyword search on encrypted outsourced data.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Communications Workshops, 2019

A Fuzzy Logic Based Machine Learning Tool for Supporting Big Data Business Analytics in Complex Artificial Intelligence Environments.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

A Flexible Query Answering System for Movie Analytics.

[BibT_eX]

[DOI]

Lucas B. Eckhardt

Amanjyot Singh Sainbhi

Cong Thanh Kevin Tran

Qi Wen

Proceedings of the Flexible Query Answering Systems - 13th International Conference, 2019

Urban Analytics of Big Transportation Data for Supporting Smart Cities.

[BibT_eX]

[DOI]

Proceedings of the Big Data Analytics and Knowledge Discovery, 2019

Big Data Analytics for Personalized Recommendation Systems.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

An Intelligent Predictive Analytics System for Transportation Analytics on Open Data Towards the Development of a Smart City.

[BibT_eX]

[DOI]

Abdul-Rasheed A. Audu

Nadège C. Pulgar-Vidal

Proceedings of the Complex, Intelligent, and Software Intensive Systems, 2019

Pattern Mining from big IoT Data with fog Computing: Models, Issues, and Research Perspectives.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

Exploiting Anti-Monotonic Constraints in Mining Palindromic Motifs from Big Genomic Data.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Personalized DeepInf: Enhanced Social Influence Prediction with Deep Learning and Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Flexible compression of big data.

[BibT_eX]

[DOI]

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

DeepGx: deep learning using gene expression for cancer classification.

[BibT_eX]

[DOI]

Joseph M. de Guia

Madhavi Devaraj

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

Information Technology-Based Patent Retrieval Models.

[BibT_eX]

[DOI]

Proceedings of the Springer Handbook of Science and Technology Indicators., 2019

2018

Mathematical Model for Propagation of Influence in a Social Network.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Succinct Constraints.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Monotone Constraints.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Frequent Itemset Mining with Constraints.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Convertible Constraints.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Anti-monotone Constraints.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Emerging trends, issues and challenges in Internet of Things, Big Data and cloud computing.

[BibT_eX]

[DOI]

Anna Kobusinska

Ching-Hsien Hsu

Raghavendra S.

Victor Chang

Future Gener. Comput. Syst., 2018

Web Page Recommendation from Sparse Big Web Data.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

WFSM-MaxPWS: An Efficient Approach for Mining Weighted Frequent Subgraphs from Edge-Weighted Graph Databases.

[BibT_eX]

[DOI]

Md. Ashraful Islam

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Spark-based data analytics of sequence motifs in large omics data.

[BibT_eX]

[DOI]

Adebayo O. Adetunmbi

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018

Data analytics on the board game Go for the discovery of interesting sequences of moves in joseki.

[BibT_eX]

[DOI]

Felix Kanke

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018

Item-centric mining of frequent patterns from big uncertain data.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018

Big Data Visualisation and Visual Analytics for Music Data Mining.

[BibT_eX]

[DOI]

Jennifer M. Sanderson

James Ayrton Stewart

Bryan H. Wodi

Proceedings of the 22nd International Conference Information Visualisation, 2018

STDP: Secure Privacy-Preserving Trajectory Data Publishing.

[BibT_eX]

[DOI]

Chris Soo-Hyun Eom

Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018

An Innovative Framework for Supporting Cognitive-Based Big Data Analytics for Frequent Pattern Mining.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Cognitive Computing, 2018

Frequent Sequence Mining with Weight Constraints in Uncertain Databases.

[BibT_eX]

[DOI]

Md Mahmudur Rahman

Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication, 2018

Token-Based Adaptive Time-Series Prediction by Ensembling Linear and Non-linear Estimators: A Machine Learning Approach for Predictive Analytics on big Stock Data.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

An Innovative Framework for Supporting Frequent Pattern Mining Problems in IoT Environments.

[BibT_eX]

[DOI]

Giorgio Mario Grasso

Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018

Supporting Social Information Discovery from Big Uncertain Social Key-Value Data via Graph-Like Metaphors.

[BibT_eX]

[DOI]

Proceedings of the Cognitive Computing - ICCC 2018, 2018

Fuzzy Logic-Based Data Analytics on Predicting the Effect of Hurricanes on the Stock Market.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

Scalable Vertical Mining for Big Data Analytics of Frequent Itemsets.

[BibT_eX]

[DOI]

Proceedings of the Database and Expert Systems Applications, 2018

Effective Classification of Ground Transportation Modes for Urban Data Mining in Smart Cities.

[BibT_eX]

[DOI]

Proceedings of the Big Data Analytics and Knowledge Discovery, 2018

An Accurate Model for Hurricane Trajectory Prediction.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

Privacy-Preserving Frequent Pattern Mining from Big Uncertain Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Mining 'Following' Patterns from Big but Sparsely Distributed Social Network Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Social Network Mining for Recommendation of Friends Based on Music Interests.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017

Finding efficiencies in frequent pattern mining from big uncertain data.

[BibT_eX]

[DOI]

World Wide Web, 2017

A new framework for mining weighted periodic patterns in time series databases.

[BibT_eX]

[DOI]

Ashis Kumar Chanda

Expert Syst. Appl., 2017

An innovative majority voting mechanism in interactive social network clustering.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics, 2017

Bitwise parallel association rule mining for web page recommendation.

[BibT_eX]

[DOI]

Jose Francisco A. Matundan

Proceedings of the International Conference on Web Intelligence, 2017

A Data Science and Engineering Solution for Fast K-Means Clustering of Big Data.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017

Game Data Mining: Clustering and Visualization of Online Game Data in Cyber-Physical Worlds.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference KES-2017, 2017

Enhanced Prediction of User-Preferred YouTube Videos Based on Cleaned Viewing Pattern History.

[BibT_eX]

[DOI]

Rashpal Robby Singh

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference KES-2017, 2017

Social Media Mining: Prediction of Box Office Revenue.

[BibT_eX]

[DOI]

Deepankar Choudhery

Proceedings of the 21st International Database Engineering & Applications Symposium, 2017

A Machine Learning Tool for Supporting Advanced Knowledge Discovery from Chess Game Data.

[BibT_eX]

[DOI]

James A. Brown

Michael Kresta

Korbin D. L. Kristjanson

Timothy W. Tebinka

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

MapReduce-Based Complex Big Data Analytics over Uncertain and Imprecise Social Networks.

[BibT_eX]

[DOI]

Proceedings of the Big Data Analytics and Knowledge Discovery, 2017

Efficient Mining of 'Following' Patterns from Very Big but Sparse Social Networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2016

Interactive mining of diverse social entities.

[BibT_eX]

[DOI]

Int. J. Knowl. Based Intell. Eng. Syst., 2016

Mining interesting patterns from uncertain databases.

[BibT_eX]

[DOI]

Akiz Uddin Ahmed

Nahim Adnan

Inf. Sci., 2016

Parallel social network mining for interesting 'following' patterns.

[BibT_eX]

[DOI]

Aaron M. Peddle

Concurr. Comput. Pract. Exp., 2016

Web Page Recommendation Based on Bitwise Frequent Pattern Mining.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

An Interactive Circular Visual Analytic Tool for Visualization of Web Data.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

Data Mining Meets HCI: Data and Visual Analytics of Frequent Patterns.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Effects of the Inclusion of Non-newsworthy Messages in Credibility Assessment.

[BibT_eX]

[DOI]

Chaluemwut Noyunsan

Tatpong Katanyukul

Kanda Runapongsa Saikaew

Proceedings of the Advances in Computational Intelligence, 2016

Knowledge Discovery from Social Graph Data.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016, 2016

Computing Theoretically-Sound Upper Bounds to Expected Support for Frequent Pattern Mining Problems over Uncertain Big Data.

[BibT_eX]

[DOI]

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016

Clickstream Prediction Using Sequential Stream Mining Techniques with Markov Chains.

[BibT_eX]

[DOI]

Proceedings of the 20th International Database Engineering & Applications Symposium, 2016

Mining Uplink-Downlink User Association in Wireless Heterogeneous Networks.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

An Efficient Approach for Mining Frequent Patterns over Uncertain Data Streams.

[BibT_eX]

[DOI]

Md. Badi-Uz-Zaman Shajib

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Reframing in Clustering.

[BibT_eX]

[DOI]

Md. Naimul Hoque

Nicolas Lachiche

Hao Zhang

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

PyramidViz: Visual Analytics and Big Data Visualization for Frequent Patterns.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE 14th Intl Conf on Dependable, 2016

A Data Science Model for Big Data Analytics of Frequent Patterns.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE 14th Intl Conf on Dependable, 2016

Management of Distributed Big Data for Social Networks.

[BibT_eX]

[DOI]

Hao Zhang

Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

Mining sequential patterns from uncertain big DNA in the spark framework.

[BibT_eX]

[DOI]

Christine Y. Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Mining 'following' patterns from big sparse social networks.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Big data mining of social networks for friend recommendation.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

B-mine: Frequent Pattern Mining and Its Application to Knowledge Discovery from Social Networks.

[BibT_eX]

[DOI]

Hao Zhang

Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

Knowledge Discovery from Big Social Key-Value Data.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Computer and Information Technology, 2016

2015

Mining Popular Patterns: A Novel Mining Problem and Its Application to Static Transactional Databases and Dynamic Data Streams.

[BibT_eX]

[DOI]

Dacheng Liu

Aaron M. Peddle

Trans. Large Scale Data Knowl. Centered Syst., 2015

A new framework for mining frequent interaction patterns from meeting databases.

[BibT_eX]

[DOI]

Anna Fariha

Eng. Appl. Artif. Intell., 2015

A Data Analytic Algorithm for Managing, Querying, and Processing Uncertain Big Data in Cloud Environments.

[BibT_eX]

[DOI]

Algorithms, 2015

A Sliding Window-Based Algorithm for Detecting Leaders from Social Network Action Streams.

[BibT_eX]

[DOI]

Quazi Marufur Rahman

Anna Fariha

Amit Mandal

Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Stock Price Prediction in Undirected Graphs Using a Structural Support Vector Machine.

[BibT_eX]

[DOI]

Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Similarities of Frequent Following Patterns and Social Entities.

[BibT_eX]

[DOI]

Kyoji Kawagoe

Proceedings of the 19th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2015

Approximation to Expected Support of Frequent Itemsets in Mining Probabilistic Sets of Uncertain Data.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2015

Edge-based Mining of Frequent Subgraphs from Graph Streams.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2015

Frequent Subgraph Mining from Streams of Linked Graph Structured Data.

[BibT_eX]

[DOI]

Proceedings of the Workshops of the EDBT/ICDT 2015 Joint Conference (EDBT/ICDT), 2015

Efficiency Improvements in Social Network Communication via MapReduce.

[BibT_eX]

[DOI]

Dacheng Liu

Proceedings of the IEEE International Conference on Data Science and Data Intensive Systems, 2015

Balancing Tree Size and Accuracy in Fast Mining of Uncertain Frequent Patterns.

[BibT_eX]

[DOI]

Proceedings of the Big Data Analytics and Knowledge Discovery, 2015

Big Data Analytics of Social Networks for the Discovery of "Following" Patterns.

[BibT_eX]

[DOI]

Proceedings of the Big Data Analytics and Knowledge Discovery, 2015

High-Recall Information Retrieval from Linked Big Data.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE Annual Computer Software and Applications Conference, 2015

Frequent Subgraph Mining from Streams of Uncertain Data.

[BibT_eX]

[DOI]

Proceedings of the Eighth International C* Conference on Computer Science & Software Engineering, 2015

Big Social Network Mining for "Following" Patterns.

[BibT_eX]

[DOI]

Kyoji Kawagoe

Proceedings of the Eighth International C* Conference on Computer Science & Software Engineering, 2015

Big Data Mining Applications and Services.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Conference on Big Data Applications and Services, 2015

FIMaaS: Scalable Frequent Itemset Mining-as-a-Service on Cloud for Non-Expert Miners.

[BibT_eX]

[DOI]

Zhao Han

Proceedings of the 2015 International Conference on Big Data Applications and Services, 2015

Probabilistic Frequent Pattern Mining by PUH-Mine.

[BibT_eX]

[DOI]

Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

2014

Interactive discovery of influential friends from social networks.

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., 2014

Interactive Mining of Strong Friends from Social Networks and its Applications in E-Commerce.

[BibT_eX]

[DOI]

J. Organ. Comput. Electron. Commer., 2014

Mining constrained frequent itemsets from distributed uncertain data.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2014

A Scalable Data Analytics Algorithm for Mining Frequent Patterns from Uncertain Data.

[BibT_eX]

[DOI]

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014

BigSAM: Mining Interesting Patterns from Probabilistic Databases of Uncertain Big Data.

[BibT_eX]

[DOI]

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014

Tightening Upper Bounds to the Expected Support for Uncertain Frequent Pattern Mining.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2014

Sports Data Mining: Predicting Results for the College Football Games.

[BibT_eX]

[DOI]

Kyle W. Joseph

Proceedings of the 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2014

A Tree-based Algorithm for Mining Diverse Social Entities.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2014

Effectively and Efficiently Mining Frequent Patterns from Dense Graph Streams on Disk.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2014

A machine learning approach for stock price prediction.

[BibT_eX]

[DOI]

Yang Wang

Proceedings of the 18th International Database Engineering & Applications Symposium, 2014

DISC: Efficient Uncertain Frequent Pattern Mining with Tightened Upper Bounds.

[BibT_eX]

[DOI]

Teagan D. Strauss

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Fast Algorithms for Frequent Itemset Mining from Uncertain Data.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

A Business Intelligence Solution for Frequent Pattern Mining on Social Networks.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Mining of Diverse Social Entities from Linked Data.

[BibT_eX]

[DOI]

Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), 2014

Frequent Pattern Mining from Dense Graph Streams.

[BibT_eX]

[DOI]

Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), 2014

BLIMP: A Compact Tree Structure for Uncertain Frequent Pattern Mining.

[BibT_eX]

[DOI]

Proceedings of the Data Warehousing and Knowledge Discovery, 2014

Mining Interesting "Following" Patterns from Social Networks.

[BibT_eX]

[DOI]

Proceedings of the Data Warehousing and Knowledge Discovery, 2014

Reducing the Search Space for Big Data Mining for Interesting Patterns from Uncertain Data.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

A Data Science Solution for Mining Interesting Patterns from Uncertain Big Data.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Fourth International Conference on Big Data and Cloud Computing, 2014

Reducing Noises for Recall-Oriented Patent Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Fourth International Conference on Big Data and Cloud Computing, 2014

Discovery of Really Popular Friends from Social Networks.

[BibT_eX]

[DOI]

Dacheng Liu

Aaron M. Peddle

Proceedings of the 2014 IEEE Fourth International Conference on Big Data and Cloud Computing, 2014

Efficient Frequent Itemset Mining from Dense Data Streams.

[BibT_eX]

[DOI]

Proceedings of the Web Technologies and Applications - 16th Asia-Pacific Web Conference, 2014

Distributed Uncertain Data Mining for Frequent Patterns Satisfying Anti-monotonic Constraints.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Advanced Information Networking and Applications Workshops, 2014

Uncertain Frequent Pattern Mining.

[BibT_eX]

[DOI]

Proceedings of the Frequent Pattern Mining, 2014

2013

Discovering Frequent Patterns from Uncertain Data Streams with Time-Fading and Landmark Models.

[BibT_eX]

[DOI]

Trans. Large Scale Data Knowl. Centered Syst., 2013

Interactive Visual Analytics of Databases and Frequent Sets.

[BibT_eX]

[DOI]

David Sonny Hung-Cheung Yuen

Patrick Johnstone

Int. J. Inf. Retr. Res., 2013

Mining Frequent Itemsets from Sparse Data Streams in Limited Memory Environments.

[BibT_eX]

[DOI]

Proceedings of the Web-Age Information Management - 14th International Conference, 2013

Stream mining of frequent sets with limited memory.

[BibT_eX]

[DOI]

Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

PUF-Tree: A Compact Tree Structure for Frequent Pattern Mining of Uncertain Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Mining Frequent Patterns from Human Interactions in Meetings Using Directed Acyclic Graphs.

[BibT_eX]

[DOI]

Anna Fariha

S. M. Abdullah

Longbing Cao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Stream Mining of Frequent Patterns from Delayed Batches of Uncertain Data.

[BibT_eX]

[DOI]

Proceedings of the Data Warehousing and Knowledge Discovery, 2013

Mining Frequent Patterns from Uncertain Data with MapReduce for Big Data Analytics.

[BibT_eX]

[DOI]

Yaroslav Hayduk

Proceedings of the Database Systems for Advanced Applications, 2013

Finding groups of friends who are significant across multiple domains in social networks.

[BibT_eX]

[DOI]

Irish J. M. Medina

Proceedings of the Fifth International Conference on Computational Aspects of Social Networks, 2013

Finding Diverse Friends in Social Networks.

[BibT_eX]

[DOI]

Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

2012

Frequent Itemset Mining of Distributed Uncertain Data under User-Defined Constraints.

[BibT_eX]

[DOI]

Proceedings of the Twentieth Italian Symposium on Advanced Database Systems, 2012

A new class of constraints for constrained frequent pattern mining.

[BibT_eX]

[DOI]

Lijing Sun

Proceedings of the ACM Symposium on Applied Computing, 2012

RadialViz: An Orientation-Free Frequent Pattern Visualizer.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Vertical Frequent Pattern Mining from Uncertain Data.

[BibT_eX]

[DOI]

Bhavek P. Budhia

Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

Efficiently Compressing OLAP Data Cubes via R-Tree Based Recursive Partitions.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems - 20th International Symposium, 2012

Mining probabilistic datasets vertically.

[BibT_eX]

[DOI]

Bhavek P. Budhia

Lauren C. Zacharias

Proceedings of the 16th International Database Engineering & Applications Symposium, 2012

A constrained frequent pattern mining system for handling aggregate constraints.

[BibT_eX]

[DOI]

Lijing Sun

Yan Wang

Proceedings of the 16th International Database Engineering & Applications Symposium, 2012

Efficient Fuzzy Ranking for Keyword Search on Graphs.

[BibT_eX]

[DOI]

Nidhi R. Arora

Jin-Ho Kim

Harshit Kumar

Proceedings of the Database and Expert Systems Applications, 2012

Mining Popular Patterns from Transactional Databases.

[BibT_eX]

[DOI]

Proceedings of the Data Warehousing and Knowledge Discovery, 2012

Mining Social Networks for Significant Friend Groups.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2012

Fast Tree-Based Mining of Frequent Itemsets from Uncertain Data.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2012

A Network-Flow Based Influence Propagation Model for Social Networks.

[BibT_eX]

[DOI]

Chris Soo-Hyun Eom

Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012

Finding Popular Friends in Social Networks.

[BibT_eX]

[DOI]

Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012

DIFSoN: Discovering influential friends from social networks.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Conference on Computational Aspects of Social Networks, 2012

2011

Mining uncertain data.

[BibT_eX]

[DOI]

WIREs Data Mining Knowl. Discov., 2011

Mobile Web Navigation in Digital Ecosystems Using Rooted Directed Trees.

[BibT_eX]

[DOI]

James Jung-Hoon Lee

IEEE Trans. Ind. Electron., 2011

Equivalence class transformation based mining of frequent itemsets from uncertain data.

[BibT_eX]

[DOI]

Lijing Sun

Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

Frequent itemset mining of uncertain data streams using the damped window model.

[BibT_eX]

[DOI]

Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

Improved Travel Time Prediction Algorithms for Intelligent Transportation Systems.

[BibT_eX]

[DOI]

Nihad Karim Chowdhury

Proceedings of the Knowlege-Based and Intelligent Information and Engineering Systems, 2011

A landmark-model based system for mining frequent patterns from uncertain data streams.

[BibT_eX]

[DOI]

Yaroslav Hayduk

Proceedings of the 15th International Database Engineering and Applications Symposium (IDEAS 2011), September 21, 2011

FpMapViz: A Space-Filling Visualization for Frequent Patterns.

[BibT_eX]

[DOI]

Pourang P. Irani

Proceedings of the Data Mining Workshops (ICDMW), 2011

Visually Contrast Two Collections of Frequent Patterns.

[BibT_eX]

[DOI]

Yaroslav Hayduk

Proceedings of the Data Mining Workshops (ICDMW), 2011

Distributed Mining of Constrained Frequent Sets from Uncertain Data.

[BibT_eX]

[DOI]

Proceedings of the Algorithms and Architectures for Parallel Processing, 2011

Visual Analytics of Social Networks: Mining and Visualizing Co-authorship Networks.

[BibT_eX]

[DOI]

Eu Wern Teh

Proceedings of the Foundations of Augmented Cognition. Directing the Future of Adaptive Systems, 2011

Frequent Pattern Mining from Time-Fading Streams of Uncertain Data.

[BibT_eX]

[DOI]

Proceedings of the Data Warehousing and Knowledge Discovery, 2011

Finding Strong Groups of Friends among Friends in Social Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Ninth International Conference on Dependable, 2011

Categorical Data Skyline Using Classification Tree.

[BibT_eX]

[DOI]

Proceedings of the Web Technologies and Applications - 13th Asia-Pacific Web Conference, 2011

2010

Exploring Social Networks: A Frequent Pattern Visualization Approach.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE Second International Conference on Social Computing, 2010

Mining uncertain data for frequent itemsets that satisfy aggregate constraints.

[BibT_eX]

[DOI]

Boyu Hao

Dale A. Brajczuk

Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

An information and communication technology system to support rural healthcare delivery.

[BibT_eX]

[DOI]

Hossein Pourreza

Sergio Camorlinga

Bruce D. Martin

Proceedings of the ACM International Health Informatics Symposium, 2010

uCFS<sub>2</sub>: an enhanced system that mines uncertain data for constrained frequent sets.

[BibT_eX]

[DOI]

Dale A. Brajczuk

Proceedings of the Fourteenth International Database Engineering and Applications Symposium (IDEAS 2010), 2010

Constrained frequent itemset mining from uncertain data streams.

[BibT_eX]

[DOI]

Boyu Hao

Proceedings of the Workshops Proceedings of the 26th International Conference on Data Engineering, 2010

2009

Succinct Constraints.

[BibT_eX]

[DOI]