Manoranjan Dash

According to our database, Manoranjan Dash authored at least 73 papers between 1997 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Improving the Inference of Topic Models via Infinite Latent State Replications.

Daniel Rugeles, Zhen Hai, Juan Felipe Carmona, Manoranjan Dash, Gao Cong

CoRR, 2023

2022

Deterministic Inference of Topic Models via Maximal Latent State Replication.

Daniel Rugeles, Zhen Hai, Manoranjan Dash, Gao Cong

IEEE Trans. Knowl. Data Eng., 2022

Solving on-shelf availability by a creative inference of data science imputation models.

Ashok Mahapatra, Srikanta Patnaik, Manoranjan Dash, Ananya Mahapatra

Int. J. Grid Util. Comput., 2022

Development of an innovative framework for missing data in retail data science.

Ashok Mahapatra, Srikanta Patnaik, Manoranjan Dash, Ananya Mahapatra

Int. J. Appl. Decis. Sci., 2022

Artificial Intelligence Based Rural E-Commerce Boosting Using Big Data.

Saumi Roy, Archana Ravindra Salve, Jaymin Arvind Shah, Sanjeev Kadam, Iskandar Muda, Manoranjan Dash

Proceedings of the 5th International Conference on Contemporary Computing and Informatics, 2022

2021

PPTPF: Privacy-Preserving Trajectory Publication Framework for CDR Mobile Trajectories.

Jianxi Yang, Manoranjan Dash, Sin G. Teo

ISPRS Int. J. Geo Inf., 2021

2020

Swarm intelligence based clustering technique for automated lesion detection and diagnosis of psoriasis.

Manoranjan Dash, Narendra D. Londhe, Subhojit Ghosh, Vimal K. Shrivastava, Rajendra S. Sonawane

Comput. Biol. Chem., 2020

A cascaded deep convolution neural network based CADx system for psoriasis lesion segmentation and severity assessment.

Manoranjan Dash, Narendra D. Londhe, Subhojit Ghosh, Ritesh Raj, Rajendra S. Sonawane

Appl. Soft Comput., 2020

2019

PsLSNet: Automated psoriasis skin lesion segmentation using modified U-Net-based fully convolutional network.

Manoranjan Dash, Narendra D. Londhe, Subhojit Ghosh, Ashish Semwal, Rajendra S. Sonawane

Biomed. Signal Process. Control., 2019

2018

Feature Selection for Clustering.

Manoranjan Dash, Poon Wei Koot

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

Heron Inference for Bayesian Graphical Models.

Daniel Rugeles, Zhen Hai, Gao Cong, Manoranjan Dash

CoRR, 2018

2017

Biclustering: An application of Dual Topic Models.

Daniel Rugeles, Kaiqi Zhao, Gao Cong, Manoranjan Dash, Shonali Krishnaswamy

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Privacy and Utility Preservation for Location Data Using Stay Region Analysis.

Manoranjan Dash, Sin G. Teo

Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

2016

Visualize People's Mobility - Both individually and Collectively - Using Mobile Phone Cellular Data.

Manoranjan Dash, Kee Kiat Koo, Shonali Krishnaswamy, Yunye Jin, Amy Shi Nash

Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016

Smartphone-Based Place Profiling in a Privacy-Preserving Manner.

Miao Lin, Manoranjan Dash, Watt Pei Yi, Yunye Jin

Proceedings of the 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2016

2015

Next place prediction by understanding mobility patterns.

Manoranjan Dash, Kee Kiat Koo, João Bártolo Gomes, Shonali Priyadarsini Krishnaswamy, Daniel Rugeles, Amy Shi Nash

Proceedings of the 2015 IEEE International Conference on Pervasive Computing and Communication Workshops, 2015

From Mobile Phone Data to Transport Network - Gaining Insight about Human Mobility.

Manoranjan Dash, Kee Kiat Koo, Thomas Holleczek, Ghim-Eng Yap, Shonali Priyadarsini Krishnaswamy, Amy Shi Nash

Proceedings of the 16th IEEE International Conference on Mobile Data Management, 2015

CDR-To-MoVis: Developing a Mobility Visualization System from CDR data.

Manoranjan Dash, Kee Kiat Koo, James Decraene, Ghim-Eng Yap, Wei Wu, João Bártolo Gomes, Amy Shi Nash, Xiaoli Li

Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2014

Design of 1-D and 2-D recursive filters using crossover bacterial foraging and Cuckoo search techniques.

Shubhendu Kumar Sarangi, Rutuparna Panda, Manoranjan Dash

Eng. Appl. Artif. Intell., 2014

Home and Work Place Prediction for Urban Planning Using Mobile Network Data.

Manoranjan Dash, Hai-Long Nguyen, Hong Cao, Ghim-Eng Yap, Minh Nhut Nguyen, Xiaoli Li, Shonali Priyadarsini Krishnaswamy, James Decraene, Spiros Antonatos, Yue Wang, Dang The Anh, Amy Shi Nash

Proceedings of the IEEE 15th International Conference on Mobile Data Management, 2014

An Interactive Analytics Tool for Understanding Location Semantics and Mobility of Users Using Mobile Network Data.

Manoranjan Dash, Gim Guan Chua, Hai-Long Nguyen, Ghim-Eng Yap, Hong Cao, Xiaoli Li, Shonali Priyadarsini Krishnaswamy, James Decraene, Amy Shi Nash

Proceedings of the IEEE 15th International Conference on Mobile Data Management, 2014

2013

Automated Tracing of Retinal Blood Vessels Using Graphical Models.

Jaydeep De, Tengfei Ma, Huiqi Li, Manoranjan Dash, Cheng Li

Proceedings of the Image Analysis, 18th Scandinavian Conference, 2013

2011

Efficient Hierarchical Agglomerative Clustering Algorithms on GPU Using Data Partitioning.

S. A. Arul Shalom, Manoranjan Dash

Proceedings of the 12th International Conference on Parallel and Distributed Computing, 2011

Comparative Study of Efficient Parallel Computations for Clustering on Desktop Computers with GPU.

S. A. Arul Shalom, Manoranjan Dash, Minh Tue Vo Thanh

Proceedings of the 5th Indian International Conference on Artificial Intelligence, 2011

RELIEF-C: Efficient Feature Selection for Clustering over Noisy Data.

Manoranjan Dash, Yew-Soon Ong

Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

2010

Discovery of Frequent Patterns in Transactional Data Streams.

Willie Ng, Manoranjan Dash

Trans. Large Scale Data Knowl. Centered Syst., 2010

Selecting useful features for personal credit risk analysis.

Shukai Li, Narendra S. Chaudhari, Manoranjan Dash

Int. J. Bus. Inf. Syst., 2010

A comparison between approximate counting and sampling methods for frequent pattern mining on data streams.

Willie Ng, Manoranjan Dash

Intell. Data Anal., 2010

Outlier detection in transactional data.

Manoranjan Dash, Willie Ng

Intell. Data Anal., 2010

An Approach for Fast Hierarchical Agglomerative Clustering Using Graphics Processors with CUDA.

S. A. Arul Shalom, Manoranjan Dash, Minh Tue

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Simultaneous Feature Selection and Tuple Selection for Efficient Classification.

Manoranjan Dash, Vivekanand Gopalkrishnan

Proceedings of the Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development, 2010

2009

Feature Selection for Clustering.

Manoranjan Dash, Poon Wei Koot

Proceedings of the Encyclopedia of Database Systems, 2009

Mining in Large Noisy Domains.

Manoranjan Dash, Ayush Singhania

ACM J. Data Inf. Qual., 2009

Which Is Better for Frequent Pattern Mining: Approximate Counting or Sampling?.

Willie Ng, Manoranjan Dash

Proceedings of the Data Warehousing and Knowledge Discovery, 11th International Conference, 2009

2008

Dimensionality Reduction.

Manoranjan Dash, Huan Liu

Proceedings of the Wiley Encyclopedia of Computer Science and Engineering, 2008

A change detector for mining frequent patterns over evolving data streams.

Willie Ng, Manoranjan Dash

Proceedings of the IEEE International Conference on Systems, 2008

Efficient cross validation over skewed noisy data.

Manoranjan Dash, Oh Yin Hao

Proceedings of the IEEE International Conference on Systems, 2008

Efficient K-Means Clustering Using Accelerated Graphics Processors.

S. A. Arul Shalom, Manoranjan Dash, Minh Tue

Proceedings of the Data Warehousing and Knowledge Discovery, 10th International Conference, 2008

Efficient Approximate Mining of Frequent Patterns over Transactional Data Streams.

Willie Ng, Manoranjan Dash

Proceedings of the Data Warehousing and Knowledge Discovery, 10th International Conference, 2008

A Test Paradigm for Detecting Changes in Transactional Data Streams.

Willie Ng, Manoranjan Dash

Proceedings of the Database Systems for Advanced Applications, 2008

Distance Based Feature Selection for Clustering Microarray Data.

Manoranjan Dash, Vivekanand Gopalkrishnan

Proceedings of the Database Systems for Advanced Applications, 2008

Graphics Hardware based Efficient and Scalable Fuzzy C-Means Clustering.

S. A. Arul Shalom, Manoranjan Dash, Minh Tue

Proceedings of the Data Mining and Analytics 2008, 2008

2007

Wrapper-Filter Feature Selection Algorithm Using a Memetic Framework.

Zexuan Zhu, Yew-Soon Ong, Manoranjan Dash

IEEE Trans. Syst. Man Cybern. Part B, 2007

Efficient sampling of training set in large and noisy multimedia data.

Surong Wang, Manoranjan Dash, Liang-Tien Chia, Min Xu

ACM Trans. Multim. Comput. Commun. Appl., 2007

Markov blanket-embedded genetic algorithm for gene selection.

Zexuan Zhu, Yew-Soon Ong, Manoranjan Dash

Pattern Recognit., 2007

pPOP: Fast yet accurate parallel hierarchical clustering using partitioning.

Manoranjan Dash, Simona Petrutiu, Peter Scheuermann

Data Knowl. Eng., 2007

Two Way Focused Classification.

Manoranjan Dash, Vivekanand Gopalkrishnan

Proceedings of the Data Warehousing and Knowledge Discovery, 9th International Conference, 2007

extraRelief: Improving Relief by Efficient Selection of Instances.

Manoranjan Dash, Ong Cher Yee

Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

2006

Efficient data reduction in multimedia data.

Surong Wang, Manoranjan Dash, Liang-Tien Chia, Min Xu

Appl. Intell., 2006

An Evaluation of Progressive Sampling for Imbalanced Data Sets.

Willie Ng, Manoranjan Dash

Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Efficient Reservoir Sampling for Transactional Data Streams.

Manoranjan Dash, Willie Ng

Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005

Efficient Sampling: Application to Image Data.

Surong Wang, Manoranjan Dash, Liang-Tien Chia

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Automatic View Selection: An Application to Image Mining.

Manoranjan Dash, Deepak Kolippakkam

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

EASIER Sampling for Audio Event Identification.

Surong Wang, Min Xu, Liang-Tien Chia, Manoranjan Dash

Proceedings of the 2005 IEEE International Conference on Multimedia and Expo, 2005

2004

Efficient Parallel Hierarchical Clustering.

Manoranjan Dash, Simona Petrutiu, Peter Scheuermann

Proceedings of the Euro-Par 2004 Parallel Processing, 2004

2003

Fast hierarchical clustering and its validation.

Manoranjan Dash, Huan Liu, Peter Scheuermann, Kian-Lee Tan

Data Knowl. Eng., 2003

Consistency-based search in feature selection.

Manoranjan Dash, Huan Liu

Artif. Intell., 2003

Active Feature Selection Using Classes.

Huan Liu, Lei Yu, Manoranjan Dash, Hiroshi Motoda

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Efficient data reduction with EASE.

Hervé Brönnimann, Bin Chen, Manoranjan Dash, Peter J. Haas, Peter Scheuermann

Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

2002

Discretization: An Enabling Technique.

Huan Liu, Farhad Hussain, Chew Lim Tan, Manoranjan Dash

Data Min. Knowl. Discov., 2002

Feature Selection for Clustering - A Filter Solution.

Manoranjan Dash, Kiseok Choi, Peter Scheuermann, Huan Liu

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

2001

Efficient Hierarchical Clustering Algorithms Using Partially Overlapping Partitions.

Manoranjan Dash, Huan Liu

Proceedings of the Knowledge Discovery and Data Mining, 2001

Efficient Yet Accurate Clustering.

Manoranjan Dash, Kian-Lee Tan, Huan Liu

Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

'1 + 1 > 2': Merging Distance and Density Based Clustering.

Manoranjan Dash, Huan Liu, X. Xu

Proceedings of the Database Systems for Advanced Applications, Proceedings of the 7th International Conference on Database Systems for Advanced Applications (DASFAA 2001), 18-20 April 2001, 2001

2000

Entropy-based fuzzy clustering and fuzzy modeling.

J. Yao, Manoranjan Dash, S. T. Tan, Hua Liu

Fuzzy Sets Syst., 2000

Consistency Based Feature Selection.

Manoranjan Dash, Huan Liu, Hiroshi Motoda

Proceedings of the Knowledge Discovery and Data Mining, 2000

Feature Selection for Clustering.

Manoranjan Dash, Huan Liu

Proceedings of the Knowledge Discovery and Data Mining, 2000

1999

Handling Large Unsupervised Data via Dimensionality Reduction.

Manoranjan Dash, Huan Liu

Proceedings of the 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 1999

Feature Selection Using Consistency Measure.

Manoranjan Dash, Huan Liu, Hiroshi Motoda

Proceedings of the Discovery Science, 1999

1998

Hybrid Search of Feature Subsets.

Manoranjan Dash, Huan Liu

Proceedings of the PRICAI'98, 1998

A Monotonic Measure for Optimal Feature Selection.

Huan Liu, Hiroshi Motoda, Manoranjan Dash

Proceedings of the Machine Learning: ECML-98, 1998

1997

Feature Selection for Classification.

Manoranjan Dash, Huan Liu

Intell. Data Anal., 1997

Dimensionality Reduction of Unsupervised Data.

Manoranjan Dash, Hua Liu, J. Yao

Proceedings of the 9th International Conference on Tools with Artificial Intelligence, 1997