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    Author information
    First name: Manoranjan
    Last name: Dash
    DBLP: 32/723
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    Below you find the publications which have been written by this author.

    Show item 1 to 25 of 61  
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    Conference paper
    Daniel Rugeles, Kaiqi Zhao, Gao Cong, Manoranjan Dash, Shonali Krishnaswamy.
    Biclustering: An application of Dual Topic Models.
    Proceedings of the 2017 SIAM International Conference on Data Mining, Houston, Texas, USA, April 27-29, 2017. 2017 (0) 2017
    Conference paper
    Manoranjan Dash, Sin G. Teo.
    Privacy and Utility Preservation for Location Data Using Stay Region Analysis.
    Advanced Data Mining and Applications - 13th International Conference, ADMA 2017, Singapore, November 5-6, 2017, Proceedings 2017 (0) 2017
    Conference paper
    Manoranjan Dash, Kee Kiat Koo, Shonali Krishnaswamy, Yunye Jin, Amy Shi Nash.
    Visualize People's Mobility - Both individually and Collectively - Using Mobile Phone Cellular Data.
    IEEE 17th International Conference on Mobile Data Management, MDM 2016, Porto, Portugal, June 13-16, 2016 2016 (0) 2016
    Conference paper
    Miao Lin, Manoranjan Dash, Watt Pei Yi, Yunye Jin.
    Smartphone-Based Place Profiling in a Privacy-Preserving Manner.
    2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), Chengdu, China, December 15-18, 2016 2016 (0) 2016
    Conference paper
    Manoranjan Dash, Kee Kiat Koo, James Decraene, Ghim-Eng Yap, Wei Wu, João Bártolo Gomes, Amy Shi Nash, Xiaoli Li 0001.
    CDR-To-MoVis: Developing a Mobility Visualization System from CDR data.
    31st IEEE International Conference on Data Engineering, ICDE 2015, Seoul, South Korea, April 13-17, 2015 2015 (0) 2015
    Conference paper
    Manoranjan Dash, Kee Kiat Koo, João Bártolo Gomes, Shonali Krishnaswamy, Daniel Rugeles, Amy Shi Nash.
    Next place prediction by understanding mobility patterns.
    2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015, St. Louis, MO, USA, March 23-27, 2015 2015 (0) 2015
    Conference paper
    Manoranjan Dash, Kee Kiat Koo, Thomas Holleczek, Ghim-Eng Yap, Shonali Krishnaswamy, Amy Shi Nash.
    From Mobile Phone Data to Transport Network - Gaining Insight about Human Mobility.
    16th IEEE International Conference on Mobile Data Management, MDM 2015, Pittsburgh, PA, USA, June 15-18, 2015 - Volume 1 2015 (0) 2015
    Journal article
    Shubhendu Kumar Sarangi, Rutuparna Panda, Manoranjan Dash.
    Design of 1-D and 2-D recursive filters using crossover bacterial foraging and Cuckoo search techniques.
    Eng. Appl. of AI 2014, Volume 34 (0) 2014
    Conference paper
    Manoranjan Dash, Gim Guan Chua, Hai-Long Nguyen, Ghim-Eng Yap, Hong Cao, Xiaoli Li 0001, Shonali Krishnaswamy, James Decraene, Amy Shi Nash.
    An Interactive Analytics Tool for Understanding Location Semantics and Mobility of Users Using Mobile Network Data.
    IEEE 15th International Conference on Mobile Data Management, MDM 2014, Brisbane, Australia, July 14-18, 2014 - Volume 1 2014 (0) 2014
    Conference paper
    Manoranjan Dash, Hai-Long Nguyen, Hong Cao, Ghim-Eng Yap, Minh Nhut Nguyen, Xiaoli Li 0001, Shonali Krishnaswamy, James Decraene, Spyros Antonatos, Yue Wang, Dang The Anh, Amy Shi-Nash.
    Home and Work Place Prediction for Urban Planning Using Mobile Network Data.
    IEEE 15th International Conference on Mobile Data Management, MDM 2014, Brisbane, Australia, July 14-18, 2014 - Volume 2 2014 (0) 2014
    Conference paper
    Jaydeep De, Tengfei Ma, Huiqi Li, Manoranjan Dash, Cheng Li.
    Automated Tracing of Retinal Blood Vessels Using Graphical Models.
    Image Analysis, 18th Scandinavian Conference, SCIA 2013, Espoo, Finland, June 17-20, 2013. Proceedings 2013 (0) 2013
    Conference paper
    Manoranjan Dash, Yew-Soon Ong.
    RELIEF-C: Efficient Feature Selection for Clustering over Noisy Data.
    IEEE 23rd International Conference on Tools with Artificial Intelligence, ICTAI 2011, Boca Raton, FL, USA, November 7-9, 2011 2011 (0) 2011
    Conference paper
    S. A. Arul Shalom, Manoranjan Dash.
    Efficient Hierarchical Agglomerative Clustering Algorithms on GPU Using Data Partitioning.
    12th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2011, Gwangju, Korea, October 20-22, 2011 2011 (0) 2011
    Conference paper
    S. A. Arul Shalom, Manoranjan Dash, Minh Tue Vo Thanh.
    Comparative Study of Efficient Parallel Computations for Clustering on Desktop Computers with GPU.
    Proceedings of the 5th Indian International Conference on Artificial Intelligence, IICAI 2011, Tumkur, Karnataka State, India, December 14-16, 2011 2011 (0) 2011
    Conference paper
    S. A. Arul Shalom, Manoranjan Dash, Minh Tue.
    An Approach for Fast Hierarchical Agglomerative Clustering Using Graphics Processors with CUDA.
    Advances in Knowledge Discovery and Data Mining, 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part II 2010 (0) 2010
    Conference paper
    Willie Ng, Manoranjan Dash.
    Discovery of Frequent Patterns in Transactional Data Streams.
    (0) 2010
    Conference paper
    Manoranjan Dash, Ng Wil Lie.
    Outlier detection in transactional data.
    Intell. Data Anal. 2010, Volume 14 (0) 2010
    Conference paper
    Willie Ng, Manoranjan Dash.
    A comparison between approximate counting and sampling methods for frequent pattern mining on data streams.
    Intell. Data Anal. 2010, Volume 14 (0) 2010
    Journal article
    Li Shukai, Narendra S. Chaudhari, Manoranjan Dash.
    Selecting useful features for personal credit risk analysis.
    IJBIS 2010, Volume 6 (0) 2010
    Conference paper
    Willie Ng, Manoranjan Dash.
    Which Is Better for Frequent Pattern Mining: Approximate Counting or Sampling?.
    Data Warehousing and Knowledge Discovery, 11th International Conference, DaWaK 2009, Linz, Austria, August 31 - September 2, 2009, Proceedings 2009 (0) 2009
    Conference paper
    Manoranjan Dash, Ayush Singhania.
    Mining in Large Noisy Domains.
    J. Data and Information Quality 2009, Volume 1 (0) 2009
    Book chapter
    Manoranjan Dash, Poon Wei Koot.
    Feature Selection for Clustering.
    Encyclopedia of Database Systems 2009 (0) 2009
    Conference paper
    Willie Ng, Manoranjan Dash.
    A change detector for mining frequent patterns over evolving data streams.
    Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Singapore, 12-15 October 2008 2008 (0) 2008
    Conference paper
    Manoranjan Dash, Oh Yin Hao.
    Efficient cross validation over skewed noisy data.
    Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Singapore, 12-15 October 2008 2008 (0) 2008
    Conference paper
    S. A. Arul Shalom, Manoranjan Dash, Minh Tue.
    Graphics Hardware based Efficient and Scalable Fuzzy C-Means Clustering.
    Data Mining and Analytics 2008, Proceedings of the Seventh Australasian Data Mining Conference (AusDM 2008). Glenelg/Adelaide, SA, Australia, 27-28 November 2008, Proceedings 2008 (0) 2008
    Show item 1 to 25 of 61  

    Your query returned 61 matches in the database.