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    Author information
    First name: Shonali
    Last name: Krishnaswamy
    DBLP: k/ShonaliKrishnaswamy
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    Below you find the publications which have been written by this author.

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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
    Dheeraj Kumar, Huayu Wu, Yu Lu 0003, Shonali Krishnaswamy, Marimuthu Palaniswami.
    Understanding Urban Mobility via Taxi Trip Clustering.
    IEEE 17th International Conference on Mobile Data Management, MDM 2016, Porto, Portugal, June 13-16, 2016 2016 (0) 2016
    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
    João Bártolo Gomes, Hai-Long Nguyen, Min Wu, Jianneng Cao, Shonali Krishnaswamy.
    Active Learning for On-Line Partial Discharge Monitoring in Noisy Environments.
    IEEE 17th International Conference on Mobile Data Management, MDM 2016, Porto, Portugal, June 13-16, 2016 - Workshops 2016 (0) 2016
    Conference paper
    Qirong Ho, Wenqing Lin, Eran Shaham, Shonali Krishnaswamy, The Anh Dang, Jingxuan Wang, Isabel Choo Zhongyan, Amy She-Nash.
    A Distributed Graph Algorithm for Discovering Unique Behavioral Groups from Large-Scale Telco Data.
    Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016 2016 (0) 2016
    Conference paper
    Ali Zonoozi, Qirong Ho, Shonali Krishnaswamy, Gao Cong.
    ConTrack: A Scalable Method for Tracking Multiple Concepts in Large Scale Multidimensional Data.
    IEEE 16th International Conference on Data Mining, ICDM 2016, December 12-15, 2016, Barcelona, Spain 2016 (0) 2016
    Conference paper
    Zahraa Said Abdallah, Mohamed Medhat Gaber, Bala Srinivasan 0002, Shonali Krishnaswamy.
    AnyNovel: detection of novel concepts in evolving data streams.
    Evolving Systems 2016, Volume 7 (0) 2016
    Journal article
    Zahraa Said Abdallah, Mohamed Medhat Gaber, Bala Srinivasan, Shonali Krishnaswamy.
    Adaptive mobile activity recognition system with evolving data streams.
    Neurocomputing 2015, Volume 150 (0) 2015
    Conference paper
    Miao Lin, Hong Cao, Vincent Zheng, Kevin Chen-Chuan Chang, Shonali Krishnaswamy.
    Mobile user verification/identification using statistical mobility profile.
    2015 International Conference on Big Data and Smart Computing, BIGCOMP 2015, Jeju, South Korea, February 9-11, 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
    Miao Lin, Hong Cao, Vincent Zheng, Kevin Chen-Chuan Chang, Shonali Krishnaswamy.
    Mobility Profiling for User Verification with Anonymized Location Data.
    Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015 2015 (0) 2015
    Conference paper
    Jianbo Yang, Minh Nhut Nguyen, Phyo Phyo San, Xiaoli Li 0001, Shonali Krishnaswamy.
    Deep Convolutional Neural Networks on Multichannel Time Series for Human Activity Recognition.
    Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015 2015 (0) 2015
    Conference paper
    Xutao Li, Gao Cong, Xiaoli Li 0001, Tuan-Anh Nguyen Pham, Shonali Krishnaswamy.
    Rank-GeoFM: A Ranking based Geographical Factorization Method for Point of Interest Recommendation.
    Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, Santiago, Chile, August 9-13, 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
    Conference paper
    Xutao Li, Tuan-Anh Nguyen Pham, Gao Cong, Quan Yuan, Xiaoli Li 0001, Shonali Krishnaswamy.
    Where you Instagram?: Associating Your Instagram Photos with Points of Interest.
    Proceedings of the 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, VIC, Australia, October 19 - 23, 2015 2015 (0) 2015
    Conference paper
    Yong-Bin Kang, Shonali Krishnaswamy, Yuan-Fang Li.
    R2O2: An Efficient Ranking-Based Reasoner for OWL Ontologies.
    The Semantic Web - ISWC 2015 - 14th International Semantic Web Conference, Bethlehem, PA, USA, October 11-15, 2015, Proceedings, Part I 2015 (0) 2015
    Journal article
    Prem Prakash Jayaraman, João Bártolo Gomes, Hai-Long Nguyen, Zahraa Said Abdallah, Shonali Krishnaswamy, Arkady B. Zaslavsky.
    Scalable Energy-Efficient Distributed Data Analytics for Crowdsensing Applications in Mobile Environments.
    IEEE Trans. Comput. Social Systems 2015, Volume 2 (0) 2015
    Conference paper
    Lei Liao, Fei Xue, Miao Lin, Xiaoli Li 0001, Shonali Krishnaswamy.
    Human activity classification in people centric sensing exploiting sparseness measurement.
    10th International Conference on Information, Communications and Signal Processing, ICICS 2015, Singapore, December 2-4, 2015 2015 (0) 2015
    Conference paper
    Aakash Deep Singh, Wei Wu, Shili Xiang, Shonali Krishnaswamy.
    Taxi trip time prediction using similar trips and road network data.
    2015 IEEE International Conference on Big Data, Big Data 2015, Santa Clara, CA, USA, October 29 - November 1, 2015 2015 (0) 2015
    Conference paper
    Hai-Long Nguyen, João Bártolo Gomes, Min Wu 0008, Hong Cao, Jianneng Cao, Shonali Krishnaswamy.
    Active learning for accurate analysis of streaming partial discharge data.
    2015 IEEE Conference on Prognostics and Health Management, ICPHM 2015, Austin, TX, USA, June 22-25, 2015 2015 (0) 2015
    Conference paper
    Mohamed Medhat Gaber, João Gama, Shonali Krishnaswamy, João Bártolo Gomes, Frederic T. Stahl.
    Data stream mining in ubiquitous environments: state-of-the-art and current directions.
    Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery 2014, Volume 4 (0) 2014
    Conference paper
    Shonali Krishnaswamy, Yuan-Fang Li.
    The mobile semantic web.
    23rd International World Wide Web Conference, WWW '14, Seoul, Republic of Korea, April 7-11, 2014, Companion Volume 2014 (0) 2014
    Conference paper
    Yong-Bin Kang, Shonali Krishnaswamy, Arkady B. Zaslavsky.
    A Retrieval Strategy for Case-Based Reasoning Using Similarity and Association Knowledge.
    IEEE T. Cybernetics 2014, Volume 44 (0) 2014
    Conference paper
    Yong-Bin Kang, Jeff Z. Pan, Shonali Krishnaswamy, Wudhichart Sawangphol, Yuan-Fang Li.
    How Long Will It Take? Accurate Prediction of Ontology Reasoning Performance.
    Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, July 27 -31, 2014, Québec City, Québec, Canada. 2014 (0) 2014
    Conference paper
    Prem Prakash Jayaraman, João Bártolo Gomes, Hai-Long Nguyen, Zahraa Said Abdallah, Shonali Krishnaswamy, Arkady B. Zaslavsky.
    CARDAP: A Scalable Energy-Efficient Context Aware Distributed Mobile Data Analytics Platform for the Fog.
    Advances in Databases and Information Systems - 18th East European Conference, ADBIS 2014, Ohrid, Macedonia, September 7-10, 2014. Proceedings 2014 (0) 2014
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