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Selected Conference Papers

SeiSMo: Semi-supervised Time Series Motif Discovery for Seismic Signal Detection
M Ashraf Siddiquee, Zeinab Akhavan and Abdullah Mueen, to appear In the Proceedings of The 28th ACM International Conference on Information and Knowledge Management, CIKM 2019.
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Structured Noise Detection: Application on Well Test Pressure Derivative Data
Farhan Asif Chowdhury, Satomi Suzuki and Abdullah Mueen, to appear In the Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2019.
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BotCamp: Bot-driven Interactions in Social Campaigns
Noor Abu-El-Rub and Abdullah Mueen, to appear In the Proceedings of The Web Conference, WWW 2019.
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Experimental Comparison of Online Anomaly Detection Algorithms
Cynthia Freeman, Jonathan Merriman, Ian Beaver and Abdullah Mueen, to appear In the Proceedings of the 32nd International FLAIRS Conference, FLAIRS 2019.
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DisPatch: Distributed Pattern Matching over Streaming Time Series
Hossein Hamooni and Abdullah Mueen, In the Proceedings of the IEEE Conference on Big Data, BigData 2018.
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Model Bots, not Humans on Social Media
Nikan Chavoshi and Abdullah Mueen, to appear In the Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018.
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BotWalk: Efficient Adaptive Exploration of Twitter Bot Networks
Amanda Minnich, Nikan Chavoshi, Danai Koutra and Abdullah Mueen, In the Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017.
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Anomalous Reviews Owing to Referral Incentive
Noor Abu-El-Rub, Amanda Minnich and Abdullah Mueen, In the Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017.
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Impact of Referral Incentives on Mobile App Reviews
Noor Abu-El-Rub, Amanda Minnich and Abdullah Mueen, In the Proceedings of the 17th International Conference on Web Engineering (ICWE), ICWE 2017.
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On-Demand Bot Detection and Archival System
Nikan Chavoshi, Hossein Hamooni, Abdullah Mueen, 26th International World Wide Web Conference, 2017 ,  WWW Demo 2017.
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Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View that Includes Motifs, Discords and Shapelets
Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego Furtado Silva, Abdullah Mueen, Eamonn Keogh, In the Proceedings of the 16th IEEE International Conference on Data Mining, ICDM 2016. (181/923)
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Matrix Profile II: Exploiting a Novel Algorithm and GPUs to break the one Hundred Million Barrier for Time Series Motifs and Joins
Yan Zhu, Zachary Zimmerman, Nader Shakibay Senobari, Chin-Chia Michael Yeh, Gareth Funning, Abdullah Mueen, Philip Brisk and Eamonn Keogh, In the Proceedings of the 16th IEEE International Conference on Data Mining,  ICDM 2016. (78/923)
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DeBot: Twitter Bot Detection via Warped Correlation
Nikan Chavoshi, Hossein Hamooni and Abdullah Mueen, In the Proceedings of the 16th IEEE International Conference on Data Mining,, ICDM 2016. (181/923)
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AWarp: Fast Warping Distance for Sparse Time Series
Abdullah Mueen, Nikan Chavoshi, Noor Abu-El-Rub, Hossein Hamooni, Amanda Minnich, In the Proceedings of the 16th IEEE International Conference on Data Mining,  ICDM 2016. (78/923)
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Identifying Correlated Bots in Twitter
Nikan Chavoshi, Hossein Hamooni and Abdullah Mueen, In the Proceedings of the 8th International Conference on Social Informatics,  SOCINFO 2016. (63/125)
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On URL Changes and Handovers in Social Media
Hossein Hamooni, Nikan Chavoshi and Abdullah Mueen, In the Proceedings of the 8th International Conference on Social Informatics,  SOCINFO 2016. (36/125)
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Comment-Profiler: Detecting trends and parasitic behaviors in online comments
Tai Ching Li, Abdullah Mueen, Michalis Faloutsos and Huy Hang, In the Proceedings of the 8th International Conference on Social Informatics,  SOCINFO 2016. (36/125)
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LogMine: Fast Pattern Recognition for Log Analytics
Hossein Hamooni, Biplob Debnath, Jianwu Xu, Hui Zhang, Geoff Jiang and Abdullah Mueen, In the Proceedings of the ACM International Conference on Information and Knowledge Management, CIKM 2016. (22/111)
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ClearView: Data Cleaning for Online Review Mining
Amanda Minnich, Noor Abu-El-Rub, Maya Gokhale, Ronald Minnich, Abdullah Mueen, In the Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016. (84/316)
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TrueView: Harnessing the Power of Multiple Review Sites
Amanda Minnich, Nikan Chavoshi, Abdullah Mueen, Shuang (Sean) Luan, Michalis Faloutsos In the Proceedings of the 24th International World Wide Web Conference, pp. 787-797, WWW 2015. (131/929)
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Shapelet Ensemble for Multi-dimensional Time Series
Mustafa Cetin, Abdullah Mueen, Vince Calhoun  In the Proceedings of the SIAM  International Conference on Data Mining, pp. 307-315, SDM 2015.
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Dual-domain Hierarchical Classification of Phonetic Time Series
Hossein Hamooni, Abdullah Mueen  In the Proceedings of IEEE International Conference on Data Mining, pp.160-169, ICDM 2014. (71/721)
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Time Series Join on Subsequence Correlation
Abdullah Mueen, Hossein Hamooni, Trilce Estrada  In the Proceedings of IEEE International Conference on Data Mining, pp. 450-459, ICDM 2014. (71/721)
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Online Discovery of Group Level Events in Time Series
Xi Chen, Abdullah Mueen, Vijay K. Narayanan, Nikos Karampatziakis, Gagan Bansal, Vipin Kumar  In the Proceedings of the SIAM International Conference on Data Mining, pp. 632-640, SDM 2014 (120/389).
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Distributed Diversification of Large Datasets
Mahbub Hasan, Abdullah Mueen, Vassilis Tsotras  In the Proceedings of the Second IEEE Conference on Cloud Engineering, pp. 67-76, IC2E 2014. (21/104)
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Enumeration of Time Series Motifs of All Lengths
Abdullah Mueen, In the Proceedings of IEEE International Conference on Data Mining, pp. 547-556, ICDM 2013. (94/809)
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Clustering Time series using Unsupervised-Shapelets
Jesin Zakaria, Abdullah Mueen, Eamonn Keogh, In the Proceedings of IEEE International Conference on Data Mining, pp. 785-794, ICDM 2012.
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Diversifying Query Results on Semi-Structured Data
Mahbub Hasan, Abdullah Mueen, Vassilis Tsotras, Eamonn Keogh , In the Proceedings of ACM International Conference on Information and Knowledge Management, pp. 2099-2103, CIKM 2012.
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Searching and Mining Trillions of Time Series Subsequences under Dynamic Time Warping
Thanawin Rakthanmanon, BIlson Campana, Abdullah Mueen,Gustavo Batista, M. Brandon Westover, Qiang Zhu, Jesin Zakaria, Eamonn Keogh, In the Proceedings of ACM SIGKDD 2012. pp. 262-270. 
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Mining Massive Archive of Mice Sounds with Symbolized Representations
Jesin Zakaria, Sarah Rotschafer, Abdullah Mueen, Khaleel Razak, Eamonn Keogh,  In the Proceedings of SIAM International Conference on Data Mining, pp. 588-599, SDM 2012.
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Image Mining of Historical Manuscripts to Establish Provenance
Bing Hu, Thanawin Rakthanmanon, BIlson Campana, Abdullah Mueen, Eamonn Keogh, In the Proceedings of SIAM International Conference on Data Mining, pp. 804-815, SDM 2012.
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Logical-Shapelets: An Expressive Primitive for Time Series Classification
Abdullah Mueen, Eamonn Keogh, Neal Young, In the Proceedings of ACM SIGKDD 2011. pp. 1154-1162. 
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Accelerating Dynamic Time Warping Subsequence Search with GPUs and FPGAs 
Doruk Sart, Abdullah Mueen, Walid Najjar, Vit Niennattrakul, Eamonn Keogh, In the Proceedings of IEEE ICDM 2010. pp. 1001-1006.
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Online Discovery and Maintenance of Time Series Motif
Abdullah Mueen, Eamonn Keogh, In the Proceedings of ACM SIGKDD 2010. pp. 1089-1098.
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Fast Approximate Correlation for Massive Time-Series Data
Abdullah Mueen, Suman Nath, Jie Liu, In the Proceedings of ACM SIGMOD 2010. pp. 171-182.
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Finding Time Series Motifs in Disk-Resident Data
Abdullah Mueen, Eamonn Keogh, Nima Bigdely-Shamlo, In the Proceedings of IEEE International Conference on Data Mining, pp. 367-376, ICDM 2009.
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Exact Discovery of Time Series Motifs
 Abdullah Mueen, Eamonn Keogh, Qiang Zhu, Sydney Cash, Brandon Westover, In the Proceedings of SIAM International Conference on Data Mining, pp. 473-484, SDM 2009.
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Journal Papers

Phoneme sequence recognition via DTW-based classification
Hossein Hamooni, Abdullah Mueen, Amy Neel, to appear  in Knowledge and Information Systems, 2015.
Enumeration of Time Series Motifs of All Lengths
Abdullah Mueen, Nikan Chavoshi, to appear  in Knowledge and Information Systems 2014.
Addressing Big Data Time Series: Mining Trillions of Time Series Subsequences Under Dynamic Time Warping
Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Gustavo E. A. P. A. Batista, M. Brandon Westover, Qiang Zhu, Jesin Zakaria, Eamonn J. Keogh: TKDD 7(3): 10 (2013)
HMEC: A Heuristic Algorithm for Individual Haplotyping with Minimum Error Correction
Md. Shamsuzzoha Bayzid, Md. Maksudul Alam, Abdullah Mueen, and Md. Saidur Rahman, ISRN Bioinformatics, vol. 2013, Article ID 291741, 10 pages, 2013.
Experimental comparison of representation methods and distance measures for time series data
Xiaoyue Wang, Abdullah Mueen, Hui Ding, Goce Trajcevski, Peter Scheuermann, Eamonn J. Keogh, Data Mining Knowledge Discovery 26(2): 275-309 (2013), DMKD 2013.
A Disk-Aware Algorithm for Time Series Motif Discovery
Abdullah Mueen, Eamonn J. Keogh, Qiang Zhu, Sydney Cash, M. Brandon Westover, Nima Bigdely Shamlo, Data Mining Knowledge Discovery 22(1-2): 73-105 (2011), DMKD 2012.


Patents

HP82929204 : Similarity search initialization - Mueen, Abdullah; Viswanathan, Krishnamurthy and Gupta, Chetan
HP82850218 : Determining distance between data sequences - Mueen, Abdullah; Viswanathan, Krishnamurthy and Gupta, Chetan
UC2011-617-1 : Hardware Acceleration of Dynamic Time Warping Algorithm using FPGAs - Sart, Doruk; Mueen, Abdullah; Najjar, Walid and Keogh, Eamonn