Jessica Lin

According to our database1, Jessica Lin authored at least 79 papers between 2002 and 2021.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
CPM: A general feature dependency pattern mining framework for contrast multivariate time series.
Pattern Recognit., 2021

2020
Contrast Pattern Mining in Paired Multivariate Time Series of a Controlled Driving Behavior Experiment.
ACM Trans. Spatial Algorithms Syst., 2020

Semantic Discord: Finding Unusual Local Patterns for Time Series.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

StealthMiner: Specialized Time Series Machine Learning for Run-Time Stealthy Malware Detection based on Microarchitectural Features.
Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

Ensemble Grammar Induction For Detecting Anomalies in Time Series.
Proceedings of the 23rd International Conference on Extending Database Technology, 2020

TapNet: Multivariate Time Series Classification with Attentional Prototypical Network.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
HIME: discovering variable-length motifs in large-scale time series.
Knowl. Inf. Syst., 2019

An agent-based system with temporal data mining for monitoring financial stability on insurance markets.
Expert Syst. Appl., 2019

Deep Stacked Ensemble Recommender.
Proceedings of the 31st International Conference on Scientific and Statistical Database Management, 2019

Linear Time Motif Discovery in Time Series.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Linear Time Complexity Time Series Clustering with Symbolic Pattern Forest.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time Series.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Finding Meaningful Contrast Patterns for Quantitative Data.
Proceedings of the Advances in Database Technology, 2019

2018
GrammarViz 3.0: Interactive Discovery of Variable-Length Time Series Patterns.
ACM Trans. Knowl. Discov. Data, 2018

Exact variable-length anomaly detection algorithm for univariate and multivariate time series.
Data Min. Knowl. Discov., 2018

Exploring variable-length time series motifs in one hundred million length scale.
Data Min. Knowl. Discov., 2018

Efficient Discovery of Variable-length Time Series Motifs with Large Length Range in Million Scale Time Series.
CoRR, 2018

Evolving Separating References for Time Series Classification.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Extracting Statistical Graph Features for Accurate and Efficient Time Series Classification.
Proceedings of the 21st International Conference on Extending Database Technology, 2018

Finding Contrast Patterns for Mixed Streaming Data (Application track).
Proceedings of the 21st International Conference on Extending Database Technology, 2018

2017
STAVIS 2.0: Mining Spatial Trajectories via Motifs.
Proceedings of the Advances in Spatial and Temporal Databases, 2017

MPR: Multi-Objective Pairwise Ranking.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

TrajViz: A Tool for Visualizing Patterns and Anomalies in Trajectory.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Linear Time Complexity Time Series Classification with Bag-of-Pattern-Features.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

IterativE Grammar-Based Framework for Discovering Variable-Length Time Series Motifs.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Efficient discovery of time series motifs with large length range in million scale time series.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

A Uniform Representation for Trajectory Learning Tasks.
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

2016
Improving the recognition of grips and movements of the hand using myoelectric signals.
BMC Medical Informatics Decis. Mak., 2016

RPM: Representative Pattern Mining for Efficient Time Series Classification.
Proceedings of the 19th International Conference on Extending Database Technology, 2016

A Self-Learning and Online Algorithm for Time Series Anomaly Detection, with Application in CPU Manufacturing.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
A Machine Learning Approach to False Alarm Detection for Critical Arrhythmia Alarms.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Frequent Set Mining for Streaming Mixed and Large Data.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Time series anomaly discovery with grammar-based compression.
Proceedings of the 18th International Conference on Extending Database Technology, 2015

A Generative Model For Time Series Discretization Based On Multiple Normal Distributions.
Proceedings of the 8th Workshop on Ph.D. Workshop in Information and Knowledge Management, 2015

Using myoelectric signals to recognize grips and movements of the hand.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
APT: Approximate Period Detection in Time Series.
Proceedings of the 26th International Conference on Software Engineering and Knowledge Engineering, 2014

GrammarViz 2.0: A Tool for Grammar-Based Pattern Discovery in Time Series.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

MBPD: Motif-Based Period Detection.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014

SAX-EFG: an evolutionary feature generation framework for time series classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
Multi-event decision making over multivariate time series.
Int. J. Inf. Decis. Sci., 2013

Motif discovery in spatial trajectories using grammar inference.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Rotation-invariant similarity in time series using bag-of-patterns representation.
J. Intell. Inf. Syst., 2012

Visualizing Variable-Length Time Series Motifs.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

R-Checkpoint Algorithm for Multi-Event Decision Making over Multivariate Time Series.
Proceedings of the Fusing Decision Support Systems into the Fabric of the Context, 2012

2011
DMGI 2010 workshop report: The First ACM SIGSPATIAL International Workshop on Data Mining for Geoinformatics (San Jose, California - November 2, 2010).
ACM SIGSPATIAL Special, 2011

An Event-Based Service Framework for Learning, Querying and Monitoring Multivariate Time Series.
Proceedings of the Enterprise Information Systems - 13th International Conference, 2011

A Service Framework for Learning, Querying and Monitoring Multivariate Time Series.
Proceedings of the ICEIS 2011, 2011

2010
Mining Time Series Data.
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

Observing Infinite-dimensional Dynamical Systems.
SIAM J. Appl. Dyn. Syst., 2010

Assessment of error in air quality models using dynamic time warping.
Proceedings of the 2010 First International Workshop on Data Mining for Geoinformatics, 2010

Finding approximate frequent patterns in streaming medical data.
Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010

2009
Finding Structural Similarity in Time Series Data Using Bag-of-Patterns Representation.
Proceedings of the Scientific and Statistical Database Management, 2009

Finding structurally different medical data.
Proceedings of the Twenty-Second IEEE International Symposium on Computer-Based Medical Systems, 2009

2008
A novel Arabic lemmatization algorithm.
Proceedings of the Second Workshop on Analytics for Noisy Unstructured Text Data, 2008

Exact and Approximate Reverse Nearest Neighbor Search for Multimedia Data.
Proceedings of the SIAM International Conference on Data Mining, 2008

A new Arabic stemming algorithm.
Proceedings of the ISCA Tutorial and Research Workshop on Experimental Linguistics, 2008

Towards an error-free Arabic stemming.
Proceedings of the Proceeding of the 2nd ACM workshop on Improving Non English Web Searching, 2008

2007
Finding the most unusual time series subsequence: algorithms and applications.
Knowl. Inf. Syst., 2007

Experiencing SAX: a novel symbolic representation of time series.
Data Min. Knowl. Discov., 2007

2006
Finding Unusual Medical Time-Series Subsequences: Algorithms and Applications.
IEEE Trans. Inf. Technol. Biomed., 2006

Efficient Discovery of Unusual Patterns in Time Series.
New Gener. Comput., 2006

Group SAX: Extending the Notion of Contrast Sets to Time Series and Multimedia Data.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Finding Time Series Discords Based on Haar Transform.
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

2005
Clustering of time-series subsequences is meaningless: implications for previous and future research.
Knowl. Inf. Syst., 2005

Visualizing and discovering non-trivial patterns in large time series databases.
Inf. Vis., 2005

A MPAA-Based Iterative Clustering Algorithm Augmented by Nearest Neighbors Search for Time-Series Data Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Approximations to Magic: Finding Unusual Medical Time Series.
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005

Mining Time Series Data.
Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

2004
VizTree: a Tool for Visually Mining and Monitoring Massive Time Series Databases.
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004

Visually mining and monitoring massive time series.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Iterative Incremental Clustering of Time Series.
Proceedings of the Advances in Database Technology, 2004

We Have Seen the Future, and It Is Symbolic.
Proceedings of the ACSW Frontiers 2004, 2004 ACSW Workshops, 2004

2003
Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

(Not) Finding Rules in Time Series: A Surprising Result with Implications for Previous and Future Research.
Proceedings of the International Conference on Artificial Intelligence, 2003

Clustering of streaming time series is meaningless.
Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery, 2003

A symbolic representation of time series, with implications for streaming algorithms.
Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery, 2003

2002
Mining Motifs in Massive Time Series Databases.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002


  Loading...