Jeffrey Chan

According to our database1, Jeffrey Chan authored at least 89 papers between 2000 and 2020.

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Bibliography

2020
Identifying glycan motifs using a novel subtree mining approach.
BMC Bioinform., 2020

Group Based Unsupervised Feature Selection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

A Framework for Feature Selection to Exploit Feature Group Structures.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

2019
Tour recommendation and trip planning using location-based social media: a survey.
Knowl. Inf. Syst., 2019

Irony detection via sentiment-based transfer learning.
Inf. Process. Manag., 2019

Alternative Blockmodelling.
CoRR, 2019

Approximating Optimisation Solutions for Travelling Officer Problem with Customised Deep Learning Network.
CoRR, 2019

Sequence tube maps: making graph genomes intuitive to commuters.
Bioinform., 2019

J3R: Joint Multi-task Learning of Ratings and Review Summaries for Explainable Recommendation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

OccuSpace: Towards a Robust Occupancy Prediction System for Activity Based Workplace.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

OnlineAirTrajClus: An Online Aircraft Trajectory Clustering for Tarmac Situation Awareness.
Proceedings of the 2019 IEEE International Conference on Pervasive Computing and Communications, 2019

Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Discovering Relevant Reviews for Answering Product-Related Queries.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Flight Delay Prediction using Airport Situational Awareness Map.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

An Investigation into Prediction + Optimisation for the Knapsack Problem.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2019

Improving Algorithm Response to Preference Changes in Multiobjective Optimisation Using Archives.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
A Location-Query-Browse Graph for Contextual Recommendation.
IEEE Trans. Knowl. Data Eng., 2018

Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency.
Knowl. Inf. Syst., 2018

Traveling Officer Problem: Managing Car Parking Violations Efficiently Using Sensor Data.
IEEE Internet of Things Journal, 2018

Understanding the predictability of user demographics from cyber-physical-social behaviours in indoor retail spaces.
EPJ Data Sci., 2018

Travel Itinerary Recommendations with Must-see Points-of-Interest.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Shopping intent recognition and location prediction from cyber-physical activities via wi-fi logs.
Proceedings of the 5th Conference on Systems for Built Environments, 2018

Image Constrained Blockmodelling: A Constraint Programming Approach.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Semi-supervised Blockmodelling with Pairwise Guidance.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Learning to Rank Items of Minimal Reviews Using Weak Supervision.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Identifying In-App User Actions from Mobile Web Logs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Feature Selection for Multiclass Binary Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Contextual Location Imputation for Confined WiFi Trajectories.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Identifying Singleton Spammers via Spammer Group Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

UFSSF - An Efficient Unsupervised Feature Selection for Streaming Features.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Parking Availability Prediction with Long Short Term Memory Model.
Proceedings of the Green, Pervasive, and Cloud Computing - 13th International Conference, 2018

Enhancing Diffusion Models by Embedding Cognitive Reasoning.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
Extending Information-Theoretic Validity Indices for Fuzzy Clustering.
IEEE Trans. Fuzzy Syst., 2017

Using Virtual Machine Allocation Policies to Defend against Co-Resident Attacks in Cloud Computing.
IEEE Trans. Dependable Secur. Comput., 2017

Ground truth bias in external cluster validity indices.
Pattern Recognit., 2017

D-Log: A WiFi Log-based differential scheme for enhanced indoor localization with single RSSI source and infrequent sampling rate.
Pervasive Mob. Comput., 2017

rFILTA: relevant and nonredundant view discovery from collections of clusterings via filtering and ranking.
Knowl. Inf. Syst., 2017

Shrink: Distance preserving graph compression.
Inf. Syst., 2017

Personalized Itinerary Recommendation with Queuing Time Awareness.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

An Efficient Binary Search Based Neuron Pruning Method for ConvNet Condensation.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

The Importance of Modelling Realistic Human Behaviour When Planning Evacuation Schedules.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Language-Independent Twitter Classification Using Character-Based Convolutional Networks.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

A Word-Character Convolutional Neural Network for Language-Agnostic Twitter Sentiment Analysis.
Proceedings of the 22nd Australasian Document Computing Symposium, 2017

2016
Adaptive Cluster Tendency Visualization and Anomaly Detection for Streaming Data.
ACM Trans. Knowl. Discov. Data, 2016

A Game Theoretical Approach to Defend Against Co-Resident Attacks in Cloud Computing: Preventing Co-Residence Using Semi-Supervised Learning.
IEEE Trans. Information Forensics and Security, 2016

Can high-order dependencies improve mutual information based feature selection?
Pattern Recognit., 2016

Discovering outlying aspects in large datasets.
Data Min. Knowl. Discov., 2016

Virtual Machine Customization and Task Mapping Architecture for Efficient Allocation of Cloud Data Center Resources.
Comput. J., 2016

Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

PersTour: A Personalized Tour Recommendation and Planning System.
Proceedings of the Late-breaking Results, 2016

Improving Personalized Trip Recommendation by Avoiding Crowds.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Towards Next Generation Touring: Personalized Group Tours.
Proceedings of the Twenty-Sixth International Conference on Automated Planning and Scheduling, 2016

MOOCs Meet Measurement Theory: A Topic-Modelling Approach.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Scalable Outlying-Inlying Aspects Discovery via Feature Ranking.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Personalized Tour Recommendation Based on User Interests and Points of Interest Visit Durations.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Detecting Location-Centric Communities Using Social-Spatial Links with Temporal Constraints.
Proceedings of the Advances in Information Retrieval, 2015

2014
Generalised blockmodelling of social and relational networks using evolutionary computing.
Social Netw. Analys. Mining, 2014

LICRE: unsupervised feature correlation reduction for lipidomics.
Bioinform., 2014

FILTA: Better View Discovery from Collections of Clusterings via Filtering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Structure-Aware Distance Measures for Comparing Clusterings in Graphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Effective global approaches for mutual information based feature selection.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

TRIBAC: Discovering Interpretable Clusters and Latent Structures in Graphs.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Virtual machine allocation policies against co-resident attacks in cloud computing.
Proceedings of the IEEE International Conference on Communications, 2014

Generalized information theoretic cluster validity indices for soft clusterings.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Reconsidering Mutual Information Based Feature Selection: A Statistical Significance View.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
A time decoupling approach for studying forum dynamics.
World Wide Web, 2013

Analysing Virtual Machine Usage in Cloud Computing.
Proceedings of the IEEE Ninth World Congress on Services, 2013

Mining Labelled Tensors by Discovering both their Common and Discriminative Subspaces.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

A Bayesian Classifier for Learning from Tensorial Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Security Games for Virtual Machine Allocation in Cloud Computing.
Proceedings of the Decision and Game Theory for Security - 4th International Conference, 2013

Clustering and visualization of fuzzy communities in social networks.
Proceedings of the FUZZ-IEEE 2013, 2013

Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
ciForager: Incrementally discovering regions of correlated change in evolving graphs.
ACM Trans. Knowl. Discov. Data, 2012

SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Mixed Membership Models for Exploring User Roles in Online Fora.
Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

On compressing weighted time-evolving graphs.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Utilizing common substructures to speedup tensor factorization for mining dynamic graphs.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
The effect of user features on churn in social networks.
Proceedings of the Web Science 2011, 2011

Increasing the Scalability of the Fitting of Generalised Block Models for Social Networks.
Proceedings of the IJCAI 2011, 2011

Reconstruction of Threaded Conversations in Online Discussion Forums.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

2010
Churn in Social Networks.
Proceedings of the Handbook of Social Network Technologies and Applications, 2010

Churn in Social Networks: A Discussion Boards Case Study.
Proceedings of the 2010 IEEE Second International Conference on Social Computing, 2010

Decomposing Discussion Forums and Boards Using User Roles.
Proceedings of the Fourth International Conference on Weblogs and Social Media, 2010

2009
Using graph partitioning to discover regions of correlated spatio-temporal change in evolving graphs.
Intell. Data Anal., 2009

A Query Based Approach for Mining Evolving Graphs.
Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009

2008
Discovering correlated spatio-temporal changes in evolving graphs.
Knowl. Inf. Syst., 2008

2006
Discovering and Summarising Regions of Correlated Spatio-Temporal Change in Evolving Graphs.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2000
The MAJC Architecture: A Synthesis of Parallelism and Scalability.
IEEE Micro, 2000


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