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Abdullah Mueen
Abdullah Al Mueen
Person information
- affiliation: University of New Mexico, Albuquerque, USA
- affiliation (PhD 2012): University of California, Riverside, CA, USA
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2020 – today
- 2024
- [j23]Sheng Zhong
, Abdullah Mueen:
MASS: distance profile of a query over a time series. Data Min. Knowl. Discov. 38(3): 1466-1492 (2024) - [c64]Ala Jararweh, Abdullah Mueen:
POLOR: Leveraging Contrastive Learning to Detect Political Orientation of Opinion in News Media. FLAIRS 2024 - [c63]Rodrigo Kruger, Abdullah Mueen, Vinícius M. A. de Souza:
Peak Prediction in Time Series: Comparing Approaches for Energy High-Load Prediction. IJCNN 2024: 1-8 - [c62]Sheng Zhong
BitLINK: Temporal Linkage of Address Clusters in Bitcoin Blockchain. KDD 2024: 4583-4594 - [i7]Francieli Boito, Jim M. Brandt, Valeria Cardellini
Autonomy Loops for Monitoring, Operational Data Analytics, Feedback, and Response in HPC Operations. CoRR abs/2401.16971 (2024) - 2023
- [j22]Yue Lu
DAMP: accurate time series anomaly detection on trillions of datapoints and ultra-fast arriving data streams. Data Min. Knowl. Discov. 37(2): 627-669 (2023) - [c61]Francieli Boito, Jim M. Brandt, Valeria Cardellini
Autonomy Loops for Monitoring, Operational Data Analytics, Feedback, and Response in HPC Operations. CLUSTER Workshops 2023: 37-43 - [c60]Sheng Zhong
Online Few-Shot Time Series Classification for Aftershock Detection. KDD 2023: 5707-5716 - [c59]Dheeman Saha
Followers Tell Who an Influencer Is. WWW (Companion Volume) 2023: 679-687 - 2022
- [j21]Sheng Zhong
Combining Filtering and Cross-Correlation Efficiently for Streaming Time Series. ACM Trans. Knowl. Discov. Data 16(5): 100:1-100:24 (2022) - [c58]Md. Parvez Mollah
Efficient Compression Method for Roadside LiDAR Data. CIKM 2022: 3371-3380 - [c57]Cynthia Freeman, Jonathan Merriman, Ian Beaver, Abdullah Mueen:
Experimental Comparison and Survey of Twelve Time Series Anomaly Detection Algorithms (Extended Abstract). IJCAI 2022: 5737-5741 - [c56]Yue Lu
Matrix Profile XXIV: Scaling Time Series Anomaly Detection to Trillions of Datapoints and Ultra-fast Arriving Data Streams. KDD 2022: 1173-1182 - [c55]M. Ashraf Siddiquee, Vinícius M. A. de Souza, Glenn Eli Baker, Abdullah Mueen:
Septor: Seismic Depth Estimation Using Hierarchical Neural Networks. KDD 2022: 3889-3897 - 2021
- [j20]Ian Beaver, Abdullah Mueen:
On the Care and Feeding of Virtual Assistants: Automating Conversation Review with AI. AI Mag. 42(4): 29-42 (2021) - [j19]Cynthia Freeman, Jonathan Merriman, Ian Beaver, Abdullah Mueen:
Experimental Comparison and Survey of Twelve Time Series Anomaly Detection Algorithms. J. Artif. Intell. Res. 72: 849-899 (2021) - [j18]Vinícius M. A. de Souza
Efficient unsupervised drift detector for fast and high-dimensional data streams. Knowl. Inf. Syst. 63(6): 1497-1527 (2021) - [j17]Yifan Hao
Identify Significant Phenomenon-Specific Variables for Multivariate Time Series. IEEE Trans. Knowl. Data Eng. 33(3): 1019-1031 (2021) - [j16]Yan Zhu
Matrix Profile IX: Admissible Time Series Motif Discovery With Missing Data. IEEE Trans. Knowl. Data Eng. 33(6): 2616-2626 (2021) - [c54]Md Rashidul Hasan, Dheeman Saha, Farhan Asif Chowdhury, James H. Degnan, Abdullah Mueen:
DiffuScope: inferring post-specific diffusion network. ASONAM 2021: 407-415 - [c53]Farhan Asif Chowdhury, Dheeman Saha, Md Rashidul Hasan, Koustuv Saha, Abdullah Mueen:
Examining factors associated with Twitter account suspension following the 2020 U.S. presidential election. ASONAM 2021: 607-612 - [c52]Cynthia Freeman, Ian Beaver, Abdullah Mueen:
Detecting Anomalies in Sequences of Short Text Using Iterative Language Models. FLAIRS 2021 - [c51]Cynthia Freeman, Ian Beaver, Abdullah Mueen:
Improving Univariate Time Series Anomaly Detection Through Automatic Algorithm Selection and Human-in-the-Loop False-Positive Removement. FLAIRS 2021 - [c50]Md. Parvez Mollah
Multi-way Time Series Join on Multi-length Patterns. ICDM 2021: 429-438 - [c49]Farhan Asif Chowdhury, M. Ashraf Siddiquee, Glenn Eli Baker, Abdullah Mueen:
FASER: Seismic Phase Identifier for Automated Monitoring. KDD 2021: 2714-2721 - [i6]Farhan Asif Chowdhury, Dheeman Saha, Md Rashidul Hasan, Koustuv Saha, Abdullah Mueen:
Examining Factors Associated with Twitter Account Suspension Following the 2020 U.S. Presidential Election. CoRR abs/2101.09575 (2021) - 2020
- [j15]Yan Zhu
The Swiss army knife of time series data mining: ten useful things you can do with the matrix profile and ten lines of code. Data Min. Knowl. Discov. 34(4): 949-979 (2020) - [c48]Ian Beaver, Cynthia Freeman, Abdullah Mueen:
Towards Awareness of Human Relational Strategies in Virtual Agents. AAAI 2020: 2602-2610 - [c47]Ian Beaver, Abdullah Mueen:
Automated Conversation Review to Surface Virtual Assistant Misunderstandings: Reducing Cost and Increasing Privacy. AAAI 2020: 13140-13147 - [c46]Vinícius M. A. de Souza, Farhan Asif Chowdhury, Abdullah Mueen:
Unsupervised Drift Detection on High-speed Data Streams. IEEE BigData 2020: 102-111 - [c45]Sheng Zhong, Vinícius M. A. de Souza, Abdullah Mueen:
FilCorr: Filtered and Lagged Correlation on Streaming Time Series. ICDM 2020: 1436-1441 - [c44]Farhan Asif Chowdhury, Lawrence Allen, Mohammad Yousuf, Abdullah Mueen:
On Twitter Purge: A Retrospective Analysis of Suspended Users. WWW (Companion Volume) 2020: 371-378
2010 – 2019
- 2019
- [c43]M. Ashraf Siddiquee, Zeinab Akhavan, Abdullah Mueen:
SeiSMo: Semi-supervised Time Series Motif Discovery for Seismic Signal Detection. CIKM 2019: 99-108 - [c42]Abdullah Mueen, Nikan Chavoshi, Amanda J. Minnich:
Taming Social Bots: Detection, Exploration and Measurement. CIKM 2019: 2967-2968 - [c41]Cynthia Freeman, Jonathan Merriman, Ian Beaver, Abdullah Mueen:
Experimental Comparison of Online Anomaly Detection Algorithms. FLAIRS 2019: 364-369 - [c40]Farhan Asif Chowdhury, Satomi Suzuki, Abdullah Mueen:
Structured Noise Detection: Application on Well Test Pressure Derivative Data. KDD 2019: 2952-2960 - [c39]Noor Abu-El-Rub, Abdullah Mueen:
BotCamp: Bot-driven Interactions in Social Campaigns. WWW 2019: 2529-2535 - 2018
- [j14]Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Zachary Zimmerman, Diego Furtado Silva, Abdullah Mueen, Eamonn J. Keogh:
Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile. Data Min. Knowl. Discov. 32(1): 83-123 (2018) - [j13]Hoang Anh Dau
Optimizing dynamic time warping's window width for time series data mining applications. Data Min. Knowl. Discov. 32(4): 1074-1120 (2018) - [j12]Yan Zhu
Exploiting a novel algorithm and GPUs to break the ten quadrillion pairwise comparisons barrier for time series motifs and joins. Knowl. Inf. Syst. 54(1): 203-236 (2018) - [j11]Abdullah Mueen, Nikan Chavoshi, Noor Abu-El-Rub, Hossein Hamooni, Amanda J. Minnich, Jonathan MacCarthy:
Speeding up dynamic time warping distance for sparse time series data. Knowl. Inf. Syst. 54(1): 237-263 (2018) - [c38]Nikan Chavoshi, Abdullah Mueen:
Model Bots, not Humans on Social Media. ASONAM 2018: 178-185 - [c37]Hossein Hamooni, Abdullah Mueen:
DisPatch: Distributed Pattern Matching over Streaming Time Series. IEEE BigData 2018: 2890-2899 - [i5]Yan Zhu, Abdullah Mueen, Eamonn J. Keogh:
Admissible Time Series Motif Discovery with Missing Data. CoRR abs/1802.05472 (2018) - [i4]Cynthia Freeman, Jonathan Merriman, Abhinav Aggarwal, Ian Beaver, Abdullah Mueen:
Paying Attention to Attention: Highlighting Influential Samples in Sequential Analysis. CoRR abs/1808.02113 (2018) - [i3]Chin-Chia Michael Yeh, Yan Zhu, Evangelos E. Papalexakis, Abdullah Mueen, Eamonn J. Keogh:
Representation Learning by Reconstructing Neighborhoods. CoRR abs/1811.01557 (2018) - 2017
- [j10]James F. Cavanagh, Arthur Napolitano, Christopher Wu, Abdullah Mueen:
The Patient Repository for EEG Data + Computational Tools (PRED+CT). Frontiers Neuroinformatics 11: 67 (2017) - [c36]Noor Abu-El-Rub, Amanda J. Minnich, Abdullah Mueen:
Anomalous Reviews Owing to Referral Incentive. ASONAM 2017: 313-316 - [c35]Amanda J. Minnich, Nikan Chavoshi, Danai Koutra, Abdullah Mueen:
BotWalk: Efficient Adaptive Exploration of Twitter Bot Networks. ASONAM 2017: 467-474 - [c34]Noor Abu-El-Rub, Amanda J. Minnich, Abdullah Mueen:
Impact of Referral Incentives on Mobile App Reviews. ICWE 2017: 351-359 - [c33]Nikan Chavoshi, Hossein Hamooni, Abdullah Mueen:
On-Demand Bot Detection and Archival System. WWW (Companion Volume) 2017: 183-187 - [c32]Nikan Chavoshi, Hossein Hamooni, Abdullah Mueen:
Temporal Patterns in Bot Activities. WWW (Companion Volume) 2017: 1601-1606 - [r2]Eamonn J. Keogh, Abdullah Mueen:
Curse of Dimensionality. Encyclopedia of Machine Learning and Data Mining 2017: 314-315 - [i2]Ian Beaver, Cynthia Freeman, Abdullah Mueen:
An Annotated Corpus of Relational Strategies in Customer Service. CoRR abs/1708.05449 (2017) - 2016
- [j9]Jesin Zakaria, Abdullah Mueen, Eamonn J. Keogh, Neal E. Young
Accelerating the discovery of unsupervised-shapelets. Data Min. Knowl. Discov. 30(1): 243-281 (2016) - [j8]Hossein Hamooni, Abdullah Mueen, Amy Neel:
Phoneme sequence recognition via DTW-based classification. Knowl. Inf. Syst. 48(2): 253-275 (2016) - [c31]Amanda J. Minnich, Noor Abu-El-Rub, Maya B. Gokhale, Ronald G. Minnich, Abdullah Mueen:
ClearView: Data cleaning for online review mining. ASONAM 2016: 555-558 - [c30]Hossein Hamooni, Biplob Debnath, Jianwu Xu, Hui Zhang, Guofei Jiang, Abdullah Mueen:
LogMine: Fast Pattern Recognition for Log Analytics. CIKM 2016: 1573-1582 - [c29]Abdullah Mueen, Nikan Chavoshi, Noor Abu-El-Rub, Hossein Hamooni, Amanda J. Minnich:
AWarp: Fast Warping Distance for Sparse Time Series. ICDM 2016: 350-359 - [c28]Yan Zhu, Zachary Zimmerman, Nader Shakibay Senobari, Chin-Chia Michael Yeh, Gareth J. Funning
Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins. ICDM 2016: 739-748 - [c27]Nikan Chavoshi, Hossein Hamooni, Abdullah Mueen:
DeBot: Twitter Bot Detection via Warped Correlation. ICDM 2016: 817-822 - [c26]Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego Furtado Silva, Abdullah Mueen, Eamonn J. Keogh:
Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets. ICDM 2016: 1317-1322 - [c25]Abdullah Mueen, Eamonn J. Keogh:
Extracting Optimal Performance from Dynamic Time Warping. KDD 2016: 2129-2130 - [c24]Nikan Chavoshi, Hossein Hamooni, Abdullah Mueen:
Identifying Correlated Bots in Twitter. SocInfo (2) 2016: 14-21 - [c23]Hossein Hamooni, Nikan Chavoshi, Abdullah Mueen:
On URL Changes and Handovers in Social Media. SocInfo (1) 2016: 58-74 - [c22]Tai-Ching Li, Abdullah Mueen, Michalis Faloutsos
Comment-Profiler: Detecting Trends and Parasitic Behaviors in Online Comments. SocInfo (1) 2016: 75-91 - 2015
- [j7]Abdullah Mueen, Nikan Chavoshi:
Enumeration of time series motifs of all lengths. Knowl. Inf. Syst. 45(1): 105-132 (2015) - [j6]Bing Hu, Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Eamonn J. Keogh:
Establishing the provenance of historical manuscripts with a novel distance measure. Pattern Anal. Appl. 18(2): 313-331 (2015) - [j5]Roya Ensafi, Philipp Winter, Abdullah Mueen, Jedidiah R. Crandall
Analyzing the Great Firewall of China Over Space and Time. Proc. Priv. Enhancing Technol. 2015(1): 61-76 (2015) - [c21]Takashi Yamauchi, Kunchen Xiao, Casady Bowman, Abdullah Mueen:
Dynamic time warping: A single dry electrode EEG study in a self-paced learning task. ACII 2015: 56-62 - [c20]Mustafa S. Çetin, Abdullah Mueen, Vince D. Calhoun
Shapelet Ensemble for Multi-dimensional Time Series. SDM 2015: 307-315 - [c19]Amanda J. Minnich, Nikan Chavoshi, Abdullah Mueen, Shuang Luan, Michalis Faloutsos
TrueView: Harnessing the Power of Multiple Review Sites. WWW 2015: 787-797 - 2014
- [j4]Abdullah Mueen:
Time series motif discovery: dimensions and applications. WIREs Data Mining Knowl. Discov. 4(2): 152-159 (2014) - [c18]Greg Iven, Viktor Chekh, Shuang Luan, Abdullah Mueen, Peter Soliz, Wenyao Xu, Mark R. Burge:
Non-contact Sensation Screening of Diabetic Foot Using Low Cost Infrared Sensors. CBMS 2014: 479-480 - [c17]Mahbub Hasan, Abdullah Mueen, Vassilis J. Tsotras
Distributed Diversification of Large Datasets. IC2E 2014: 67-76 - [c16]Hossein Hamooni, Abdullah Mueen:
Dual-Domain Hierarchical Classification of Phonetic Time Series. ICDM 2014: 160-169 - [c15]Abdullah Mueen, Hossein Hamooni, Trilce Estrada
Time Series Join on Subsequence Correlation. ICDM 2014: 450-459 - [c14]Xi C. Chen, Abdullah Mueen, Vijay K. Narayanan, Nikos Karampatziakis, Gagan Bansal, Vipin Kumar:
Online Discovery of Group Level Events in Time Series. SDM 2014: 632-640 - [i1]Roya Ensafi, Philipp Winter, Abdullah Mueen, Jedidiah R. Crandall:
Large-scale Spatiotemporal Characterization of Inconsistencies in the World's Largest Firewall. CoRR abs/1410.0735 (2014) - 2013
- [j3]Xiaoyue Wang, Abdullah Mueen, Hui Ding, Goce Trajcevski, Peter Scheuermann, Eamonn J. Keogh:
Experimental comparison of representation methods and distance measures for time series data. Data Min. Knowl. Discov. 26(2): 275-309 (2013) - [j2]Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Gustavo E. A. P. A. Batista, M. Brandon Westover, Qiang Zhu, Jesin Zakaria, Eamonn J. Keogh:
Addressing Big Data Time Series: Mining Trillions of Time Series Subsequences Under Dynamic Time Warping. ACM Trans. Knowl. Discov. Data 7(3): 10:1-10:31 (2013) - [c13]Abdullah Mueen:
Enumeration of Time Series Motifs of All Lengths. ICDM 2013: 547-556 - 2012
- [b1]Abdullah Al Mueen:
Exact Primitives for Time Series Data Mining. University of California, Riverside, USA, 2012 - [c12]Mahbub Hasan, Abdullah Mueen, Vassilis J. Tsotras
Diversifying query results on semi-structured data. CIKM 2012: 2099-2103 - [c11]Jesin Zakaria, Abdullah Mueen, Eamonn J. Keogh:
Clustering Time Series Using Unsupervised-Shapelets. ICDM 2012: 785-794 - [c10]Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Gustavo E. A. P. A. Batista, M. Brandon Westover, Qiang Zhu, Jesin Zakaria, Eamonn J. Keogh:
Searching and mining trillions of time series subsequences under dynamic time warping. KDD 2012: 262-270 - [c9]Jesin Zakaria, Sarah Rotschafer, Abdullah Mueen, Khaleel Razak, Eamonn J. Keogh:
Mining Massive Archives of Mice Sounds with Symbolized Representations. SDM 2012: 588-599 - [c8]Bing Hu, Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Eamonn J. Keogh:
Image Mining of Historical Manuscripts to Establish Provenance. SDM 2012: 804-815 - 2011
- [j1]Abdullah Mueen, Eamonn J. Keogh, Qiang Zhu, Sydney Cash, M. Brandon Westover, Nima Bigdely Shamlo:
A disk-aware algorithm for time series motif discovery. Data Min. Knowl. Discov. 22(1-2): 73-105 (2011) - [c7]Abdullah Mueen, Eamonn J. Keogh, Neal E. Young
Logical-shapelets: an expressive primitive for time series classification. KDD 2011: 1154-1162 - 2010
- [c6]Doruk Sart, Abdullah Mueen, Walid A. Najjar
Accelerating Dynamic Time Warping Subsequence Search with GPUs and FPGAs. ICDM 2010: 1001-1006 - [c5]Abdullah Mueen, Eamonn J. Keogh:
Online discovery and maintenance of time series motifs. KDD 2010: 1089-1098 - [c4]Abdullah Mueen, Suman Nath
Fast approximate correlation for massive time-series data. SIGMOD Conference 2010: 171-182 - [r1]Eamonn J. Keogh, Abdullah Mueen:
Curse of Dimensionality. Encyclopedia of Machine Learning 2010: 257-258
2000 – 2009
- 2009
- [c3]Abdullah Mueen, Eamonn J. Keogh, Nima Bigdely Shamlo:
Finding Time Series Motifs in Disk-Resident Data. ICDM 2009: 367-376 - [c2]Abdullah Mueen, Eamonn J. Keogh, Qiang Zhu, Sydney Cash, M. Brandon Westover:
Exact Discovery of Time Series Motifs. SDM 2009: 473-484 - 2008
- [c1]Abdullah Al Mueen, Md. Shamsuzzoha Bayzid, Md. Maksudul Alam
A Heuristic Algorithm for Individual Haplotyping with Minimum Error Correction. BMEI (1) 2008: 792-796
Coauthor Index
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last updated on 2024-09-21 02:36 CEST by the dblp team
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