Jessica Lin
According to our database^{1},
Jessica Lin
authored at least 79 papers
between 2002 and 2021.
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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
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
StealthMiner: Specialized Time Series Machine Learning for RunTime Stealthy Malware Detection based on Microarchitectural Features.
Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020
Proceedings of the 23rd International Conference on Extending Database Technology, 2020
TapNet: Multivariate Time Series Classification with Attentional Prototypical Network.
Proceedings of the ThirtyFourth AAAI Conference on Artificial Intelligence, 2020
2019
Knowl. Inf. Syst., 2019
An agentbased system with temporal data mining for monitoring financial stability on insurance markets.
Expert Syst. Appl., 2019
Proceedings of the 31st International Conference on Scientific and Statistical Database Management, 2019
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
Proceedings of the TwentyEighth 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 LargeScale Multivariate Time Series.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Proceedings of the Advances in Database Technology, 2019
2018
ACM Trans. Knowl. Discov. Data, 2018
Exact variablelength anomaly detection algorithm for univariate and multivariate time series.
Data Min. Knowl. Discov., 2018
Data Min. Knowl. Discov., 2018
Efficient Discovery of Variablelength Time Series Motifs with Large Length Range in Million Scale Time Series.
CoRR, 2018
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
Proceedings of the 21st International Conference on Extending Database Technology, 2018
2017
Proceedings of the Advances in Spatial and Temporal Databases, 2017
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
IterativE GrammarBased Framework for Discovering VariableLength 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
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
Proceedings of the 19th International Conference on Extending Database Technology, 2016
A SelfLearning 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
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
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
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
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014
SAXEFG: an evolutionary feature generation framework for time series classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
2013
Int. J. Inf. Decis. Sci., 2013
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013
2012
Rotationinvariant similarity in time series using bagofpatterns representation.
J. Intell. Inf. Syst., 2012
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012
RCheckpoint Algorithm for MultiEvent 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 EventBased 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
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010
SIAM J. Appl. Dyn. Syst., 2010
Proceedings of the 2010 First International Workshop on Data Mining for Geoinformatics, 2010
Proceedings of the IEEE 23rd International Symposium on ComputerBased Medical Systems (CBMS 2010), 2010
2009
Finding Structural Similarity in Time Series Data Using BagofPatterns Representation.
Proceedings of the Scientific and Statistical Database Management, 2009
Proceedings of the TwentySecond IEEE International Symposium on ComputerBased Medical Systems, 2009
2008
Proceedings of the Second Workshop on Analytics for Noisy Unstructured Text Data, 2008
Proceedings of the SIAM International Conference on Data Mining, 2008
Proceedings of the ISCA Tutorial and Research Workshop on Experimental Linguistics, 2008
Proceedings of the Proceeding of the 2nd ACM workshop on Improving Non English Web Searching, 2008
2007
Knowl. Inf. Syst., 2007
Data Min. Knowl. Discov., 2007
2006
IEEE Trans. Inf. Technol. Biomed., 2006
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
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006
2005
Clustering of timeseries subsequences is meaningless: implications for previous and future research.
Knowl. Inf. Syst., 2005
Inf. Vis., 2005
A MPAABased Iterative Clustering Algorithm Augmented by Nearest Neighbors Search for TimeSeries Data Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005
Proceedings of the 18th IEEE Symposium on ComputerBased Medical Systems (CBMS 2005), 2005
Mining Time Series Data.
Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005
2004
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004
Proceedings of the Advances in Database Technology, 2004
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
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
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002