Abdullah Mueen

Orcid: 0000-0002-4839-1624

Affiliations:
  • University of New Mexico, Albuquerque, USA
  • University of California, Riverside, CA, USA (PhD 2012)


According to our database1, Abdullah Mueen authored at least 96 papers between 2008 and 2024.

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Bibliography

2024
MASS: distance profile of a query over a time series.
Data Min. Knowl. Discov., May, 2024

BitLINK: Temporal Linkage of Address Clusters in Bitcoin Blockchain.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Peak Prediction in Time Series: Comparing Approaches for Energy High-Load Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2024

POLOR: Leveraging Contrastive Learning to Detect Political Orientation of Opinion in News Media.
Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024

PAW: A Deep Learning Model for Predicting Amplitude Windows in Seismic Signals.
Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024

2023
DAMP: accurate time series anomaly detection on trillions of datapoints and ultra-fast arriving data streams.
Data Min. Knowl. Discov., March, 2023

Followers Tell Who an Influencer Is.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Online Few-Shot Time Series Classification for Aftershock Detection.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023


2022
Combining Filtering and Cross-Correlation Efficiently for Streaming Time Series.
ACM Trans. Knowl. Discov. Data, 2022

Septor: Seismic Depth Estimation Using Hierarchical Neural Networks.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Matrix Profile XXIV: Scaling Time Series Anomaly Detection to Trillions of Datapoints and Ultra-fast Arriving Data Streams.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Experimental Comparison and Survey of Twelve Time Series Anomaly Detection Algorithms (Extended Abstract).
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Efficient Compression Method for Roadside LiDAR Data.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Matrix Profile IX: Admissible Time Series Motif Discovery With Missing Data.
IEEE Trans. Knowl. Data Eng., 2021

Identify Significant Phenomenon-Specific Variables for Multivariate Time Series.
IEEE Trans. Knowl. Data Eng., 2021

Efficient unsupervised drift detector for fast and high-dimensional data streams.
Knowl. Inf. Syst., 2021

Experimental Comparison and Survey of Twelve Time Series Anomaly Detection Algorithms.
J. Artif. Intell. Res., 2021

On the Care and Feeding of Virtual Assistants: Automating Conversation Review with AI.
AI Mag., 2021

FASER: Seismic Phase Identifier for Automated Monitoring.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Multi-way Time Series Join on Multi-length Patterns.
Proceedings of the IEEE International Conference on Data Mining, 2021

Improving Univariate Time Series Anomaly Detection Through Automatic Algorithm Selection and Human-in-the-Loop False-Positive Removement.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

Detecting Anomalies in Sequences of Short Text Using Iterative Language Models.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

DiffuScope: inferring post-specific diffusion network.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

Examining factors associated with Twitter account suspension following the 2020 U.S. presidential election.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020
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., 2020

On Twitter Purge: A Retrospective Analysis of Suspended Users.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

FilCorr: Filtered and Lagged Correlation on Streaming Time Series.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Unsupervised Drift Detection on High-speed Data Streams.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Automated Conversation Review to Surface Virtual Assistant Misunderstandings: Reducing Cost and Increasing Privacy.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Towards Awareness of Human Relational Strategies in Virtual Agents.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
BotCamp: Bot-driven Interactions in Social Campaigns.
Proceedings of the World Wide Web Conference, 2019

Structured Noise Detection: Application on Well Test Pressure Derivative Data.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Experimental Comparison of Online Anomaly Detection Algorithms.
Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

SeiSMo: Semi-supervised Time Series Motif Discovery for Seismic Signal Detection.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Taming Social Bots: Detection, Exploration and Measurement.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Exploiting a novel algorithm and GPUs to break the ten quadrillion pairwise comparisons barrier for time series motifs and joins.
Knowl. Inf. Syst., 2018

Speeding up dynamic time warping distance for sparse time series data.
Knowl. Inf. Syst., 2018

Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile.
Data Min. Knowl. Discov., 2018

Optimizing dynamic time warping's window width for time series data mining applications.
Data Min. Knowl. Discov., 2018

Representation Learning by Reconstructing Neighborhoods.
CoRR, 2018

Paying Attention to Attention: Highlighting Influential Samples in Sequential Analysis.
CoRR, 2018

Admissible Time Series Motif Discovery with Missing Data.
CoRR, 2018

DisPatch: Distributed Pattern Matching over Streaming Time Series.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Model Bots, not Humans on Social Media.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
Curse of Dimensionality.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

The Patient Repository for EEG Data + Computational Tools (PRED+CT).
Frontiers Neuroinformatics, 2017

An Annotated Corpus of Relational Strategies in Customer Service.
CoRR, 2017

Temporal Patterns in Bot Activities.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

On-Demand Bot Detection and Archival System.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Impact of Referral Incentives on Mobile App Reviews.
Proceedings of the Web Engineering - 17th International Conference, 2017

BotWalk: Efficient Adaptive Exploration of Twitter Bot Networks.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

Anomalous Reviews Owing to Referral Incentive.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2016
Phoneme sequence recognition via DTW-based classification.
Knowl. Inf. Syst., 2016

Accelerating the discovery of unsupervised-shapelets.
Data Min. Knowl. Discov., 2016

Comment-Profiler: Detecting Trends and Parasitic Behaviors in Online Comments.
Proceedings of the Social Informatics - 8th International Conference, 2016

On URL Changes and Handovers in Social Media.
Proceedings of the Social Informatics - 8th International Conference, 2016

Identifying Correlated Bots in Twitter.
Proceedings of the Social Informatics - 8th International Conference, 2016

Extracting Optimal Performance from Dynamic Time Warping.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

AWarp: Fast Warping Distance for Sparse Time Series.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

DeBot: Twitter Bot Detection via Warped Correlation.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

LogMine: Fast Pattern Recognition for Log Analytics.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

ClearView: Data cleaning for online review mining.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
Analyzing the Great Firewall of China Over Space and Time.
Proc. Priv. Enhancing Technol., 2015

Establishing the provenance of historical manuscripts with a novel distance measure.
Pattern Anal. Appl., 2015

Enumeration of time series motifs of all lengths.
Knowl. Inf. Syst., 2015

TrueView: Harnessing the Power of Multiple Review Sites.
Proceedings of the 24th International Conference on World Wide Web, 2015

Shapelet Ensemble for Multi-dimensional Time Series.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Dynamic time warping: A single dry electrode EEG study in a self-paced learning task.
Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction, 2015

2014
Time series motif discovery: dimensions and applications.
WIREs Data Mining Knowl. Discov., 2014

Large-scale Spatiotemporal Characterization of Inconsistencies in the World's Largest Firewall.
CoRR, 2014

Online Discovery of Group Level Events in Time Series.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Time Series Join on Subsequence Correlation.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Dual-Domain Hierarchical Classification of Phonetic Time Series.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Distributed Diversification of Large Datasets.
Proceedings of the 2014 IEEE International Conference on Cloud Engineering, 2014

Non-contact Sensation Screening of Diabetic Foot Using Low Cost Infrared Sensors.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

2013
Addressing Big Data Time Series: Mining Trillions of Time Series Subsequences Under Dynamic Time Warping.
ACM Trans. Knowl. Discov. Data, 2013

Experimental comparison of representation methods and distance measures for time series data.
Data Min. Knowl. Discov., 2013

Enumeration of Time Series Motifs of All Lengths.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Exact Primitives for Time Series Data Mining.
PhD thesis, 2012

Mining Massive Archives of Mice Sounds with Symbolized Representations.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Image Mining of Historical Manuscripts to Establish Provenance.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Searching and mining trillions of time series subsequences under dynamic time warping.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Clustering Time Series Using Unsupervised-Shapelets.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Diversifying query results on semi-structured data.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
A disk-aware algorithm for time series motif discovery.
Data Min. Knowl. Discov., 2011

Logical-shapelets: an expressive primitive for time series classification.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010
Curse of Dimensionality.
Proceedings of the Encyclopedia of Machine Learning, 2010

Fast approximate correlation for massive time-series data.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Online discovery and maintenance of time series motifs.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Accelerating Dynamic Time Warping Subsequence Search with GPUs and FPGAs.
Proceedings of the ICDM 2010, 2010

2009
Exact Discovery of Time Series Motifs.
Proceedings of the SIAM International Conference on Data Mining, 2009

Finding Time Series Motifs in Disk-Resident Data.
Proceedings of the ICDM 2009, 2009

2008
A Heuristic Algorithm for Individual Haplotyping with Minimum Error Correction.
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008


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