Jessica Lin

发表

Pattern Recognition in Time Series

Jessica Lin, Sheri Williamson, Kirk D. Borne, 2012 .

Extracting Statistical Graph Features for Accurate and Efficient Time Series Classification

Jacques Klein, Yves Le Traon, Jessica Lin, 2018, EDBT.

Finding the most unusual time series subsequence: algorithms and applications

Eamonn J. Keogh, Jessica Lin, Sang-Hee Lee, 2006, Knowledge and Information Systems.

Finding approximate frequent patterns in streaming medical data

Yuan Li, Jessica Lin, Jessica Lin, 2010, 2010 IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS).

IMPACT OF SYSTEM IDENTIFICATION METHODS IN METABOLIC MODELLING AND CONTROL

J. Geoffrey Chase, Geoffrey M. Shaw, Jessica Lin, 2006 .

A Generative Model For Time Series Discretization Based On Multiple Normal Distributions

Tim Oates, Arnold P. Boedihardjo, Xing Wang, 2015, PIKM@CIKM.

Mining Time Series Data

Dimitrios Gunopulos, Eamonn J. Keogh, Jessica Lin, 2005, Data Mining and Knowledge Discovery Handbook.

Exact and Approximate Reverse Nearest Neighbor Search for Multimedia Data

Jessica Lin, David Etter, David DeBarr, 2008, SDM.

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

Jessica Lin, Nigel Waters, Guido Cervone, 2011, SIGSPACIAL.

Motif discovery in spatial trajectories using grammar inference

Tim Oates, Arnold P. Boedihardjo, Jessica Lin, 2013, CIKM.

Using myoelectric signals to recognize grips and movements of the hand

Jessica Lin, Daniel Barbará, Zoran Duric, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

MBPD: Motif-Based Period Detection

Jessica Lin, Pavel Senin, Rasaq Otunba, 2014, PAKDD Workshops.

An agent-based system with temporal data mining for monitoring financial stability on insurance markets

Feng Zhou, Jessica Lin, Douglas Wright, 2019, Expert systems with applications.

Linear Time Complexity Time Series Classification with Bag-of-Pattern-Features

Jessica Lin, Xiaosheng Li, Jessica Lin, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Linear Time Motif Discovery in Time Series

Jessica Lin, Xiaosheng Li, 2019, SDM.

GrammarViz 2.0: A Tool for Grammar-Based Pattern Discovery in Time Series

Tim Oates, Arnold P. Boedihardjo, Xing Wang, 2014, ECML/PKDD.

RPM: Representative Pattern Mining for Efficient Time Series Classification

Tim Oates, Arnold P. Boedihardjo, Xing Wang, 2016, EDBT.

STAVIS 2.0: Mining Spatial Trajectories via Motifs

Tim Oates, Arnold P. Boedihardjo, Jessica Lin, 2017, SSTD.

Finding Structural Similarity in Time Series Data Using Bag-of-Patterns Representation

Yuan Li, Jessica Lin, Jessica Lin, 2009, SSDBM.

Exact variable-length anomaly detection algorithm for univariate and multivariate time series

Xing Wang, Jessica Lin, Martin Oberkönig, 2018, Data Mining and Knowledge Discovery.

MPR: Multi-Objective Pairwise Ranking

Jessica Lin, Raimi A. Rufai, Rasaq Otunba, 2017, RecSys.

HOT SAX: Finding the Most Unusual Time Series Subsequence: Algorithms and Applications

Jessica Lin, Eamonn Keogh, Ada Wai-Chee Fu, 2004 .

Multi-event decision making over multivariate time series

Jessica Lin, Alexander Brodsky, Chun-Kit Ngan, 2013, Int. J. Inf. Decis. Sci..

(Not) Finding Rules in Time Series: A Surprising Result with Implications for Previous and Future Research

Eamonn J. Keogh, Jessica Lin, Wagner Truppel, 2003, IC-AI.

A Self-Learning and Online Algorithm for Time Series Anomaly Detection, with Application in CPU Manufacturing

Xing Wang, Jessica Lin, Martin Oberkönig, 2016, CIKM.

VizTree: a Tool for Visually Mining and Monitoring Massive Time Series Databases

Eamonn J. Keogh, Stefano Lonardi, Jessica Lin, 2004, VLDB.

IterativE Grammar-Based Framework for Discovering Variable-Length Time Series Motifs

Yifeng Gao, Jessica Lin, Huzefa Rangwala, 2017, ICDM.

Evolving Separating References for Time Series Classification

Jessica Lin, Xiaosheng Li, 2018, SDM.

Acm Sigspatial International Conference on Advances in Geographic Information Systems (acmgis)

Jessica Lin, Nigel Waters, Guido Cervone, 2010 .

Clustering of streaming time series is meaningless

Eamonn J. Keogh, Jessica Lin, Wagner Truppel, 2003, DMKD '03.

A MPAA-Based Iterative Clustering Algorithm Augmented by Nearest Neighbors Search for Time-Series Data Streams

Dimitrios Gunopulos, Eamonn J. Keogh, Jessica Lin, 2005, PAKDD.

Exploring variable-length time series motifs in one hundred million length scale

Yifeng Gao, Jessica Lin, Jessica Lin, 2018, Data Mining and Knowledge Discovery.

Finding Meaningful Contrast Patterns for Quantitative Data

Jessica Lin, Nital Patel, Rohan Khade, 2019, EDBT.

Finding Time Series Discords Based on Haar Transform

Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu, 2006, ADMA.

We Have Seen the Future, and It Is Symbolic

Eamonn J. Keogh, Stefano Lonardi, Jessica Lin, 2004, ACSW.

A symbolic representation of time series, with implications for streaming algorithms

Eamonn J. Keogh, Stefano Lonardi, Jessica Lin, 2003, DMKD '03.

A PRIORI PREDICTION OF PHISHING VICTIMIZATION BASED ON STRUCTURAL CONTENT FACTORS

Rose F. Gamble, Jessica Lin, Matthew L. Hale, 2017 .

An Event-Based Service Framework for Learning, Querying and Monitoring Multivariate Time Series

Jessica Lin, Alexander Brodsky, Chun-Kit Ngan, 2011, ICEIS.

A Service Framework for Learning, Querying and Monitoring Multivariate Time Series

Jessica Lin, Alexander Brodsky, Chun-Kit Ngan, 2011, ICEIS.

Efficient Discovery of Variable-length Time Series Motifs with Large Length Range in Million Scale Time Series pdf

Yifeng Gao, Jessica Lin, 2018, ArXiv.

Time series anomaly discovery with grammar-based compression

Tim Oates, Arnold P. Boedihardjo, Xing Wang, 2015, EDBT.

Rotation-invariant similarity in time series using bag-of-patterns representation

Yuan Li, Jessica Lin, Rohan Khade, 2012, Journal of Intelligent Information Systems.

Finding Motifs in Time Series

Jessica Lin, Jessica Lin, 2002, KDD 2002.

HOT SAX: efficiently finding the most unusual time series subsequence

Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

Approximations to magic: finding unusual medical time series

Eamonn J. Keogh, Jessica Lin, Helga Van Herle, 2005, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05).

Multi-Resolution K-Means Clustering of Time Series and Application to Images

Dimitrios Gunopulos, Eamonn J. Keogh, Jessica Lin, 2003 .

Assessment of error in air quality models using dynamic time warping

Jessica Lin, Guido Cervone, Pasquale Franzese, 2010, DMG '10.

TrajViz: A Tool for Visualizing Patterns and Anomalies in Trajectory

Yifeng Gao, Jessica Lin, Huzefa Rangwala, 2017, ECML/PKDD.

Finding Unusual Medical Time-Series Subsequences: Algorithms and Applications

Eamonn J. Keogh, Jessica Lin, Helga Van Herle, 2006, IEEE Transactions on Information Technology in Biomedicine.

Iterative Incremental Clustering of Time Series

Dimitrios Gunopulos, Eamonn J. Keogh, Jessica Lin, 2004, EDBT.

Tim Oates, Arnold P. Boedihardjo, Xing Wang, 2018, ACM Trans. Knowl. Discov. Data.

A Wavelet-Based Anytime Algorithm for K-Means Clustering of Time Series

Dimitrios Gunopulos, Eamonn J. Keogh, Jessica Lin, 2003 .

HIME: discovering variable-length motifs in large-scale time series

Yifeng Gao, Jessica Lin, Jessica Lin, 2018, Knowledge and Information Systems.

Efficient Discovery of Unusual Patterns in Time Series

Eamonn J. Keogh, Stefano Lonardi, Jessica Lin, 2006, New Generation Computing.

Observing Infinite-dimensional Dynamical Systems

Jessica Lin, William Ott, W. Ott, 2010, SIAM J. Appl. Dyn. Syst..

Finding structurally different medical data

Yuan Li, Jessica Lin, Jessica Lin, 2009, 2009 22nd IEEE International Symposium on Computer-Based Medical Systems.

Visualizing and Discovering Non-Trivial Patterns in Large Time Series Databases

Eamonn J. Keogh, Stefano Lonardi, Jessica Lin, 2005, Inf. Vis..

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Data Mining for Geoinformatics

Jessica Lin, Nigel Waters, Guido Cervone, 2010, GIS 2010.

A Uniform Representation for Trajectory Learning Tasks

Jessica Lin, Liang Zhao, Huzefa Rangwala, 2017, SIGSPATIAL/GIS.

Developing a platform to evaluate and assess the security of wearable devices

Rose F. Gamble, Jessica Lin, Matthew L. Hale, 2019, Digit. Commun. Networks.

SAX-EFG: an evolutionary feature generation framework for time series classification

Jessica Lin, Kenneth A. De Jong, Uday Kamath, 2014, GECCO.

Approximate variable-length time series motif discovery using grammar inference

Jessica Lin, Yuan Li, Jessica Lin, 2010, MDMKDD '10.

Clustering of time-series subsequences is meaningless: implications for previous and future research

Eamonn J. Keogh, Jessica Lin, Jessica Lin, 2004, Knowledge and Information Systems.

Finding Contrast Patterns for Mixed Streaming Data (Application track)

Jessica Lin, Nital Patel, Rohan Khade, 2018, EDBT.

Frequent Set Mining for Streaming Mixed and Large Data

Jessica Lin, Nital Patel, Rohan Khade, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Multi-event decision making over multivariate time series

Jessica Lin, Alexander Brodsky, Chun-Kit Ngan, 2013, Int. J. Inf. Decis. Sci..

APT: Approximate Period Detection in Time Series

Jessica Lin, Rasaq Otunba, 2014, SEKE.

Visualizing Variable-Length Time Series Motifs

Tim Oates, Yuan Li, Jessica Lin, 2012, SDM.

Improving the recognition of grips and movements of the hand using myoelectric signals

Jessica Lin, Daniel Barbará, Zoran Duric, 2016, BMC Medical Informatics and Decision Making.

Group SAX: Extending the Notion of Contrast Sets to Time Series and Multimedia Data

Eamonn J. Keogh, Jessica Lin, Jessica Lin, 2006, PKDD.

Affordability and access in focus: Metrics and tools of relative energy vulnerability

Jessica Lin, 2018 .

A Machine Learning Approach to False Alarm Detection for Critical Arrhythmia Alarms

Yifeng Gao, Xing Wang, Jessica Lin, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

The SPRINT Protocol for Tight Glycaemic Control

Christopher E. Hann, Geoffrey M. Shaw, J. G. Chase, 2006 .

Efficient discovery of time series motifs with large length range in million scale time series

Yifeng Gao, Jessica Lin, Jessica Lin, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Time series clustering in linear time complexity

Liang Zhao, Jessica Lin, Xiaosheng Li, 2021, Data Mining and Knowledge Discovery.

Adaptive-HMD: Accurate and Cost-Efficient Machine Learning-Driven Malware Detection using Microarchitectural Events

Houman Homayoun, Hosein Mohammadi Makrani, Yifeng Gao, 2021, 2021 IEEE 27th International Symposium on On-Line Testing and Robust System Design (IOLTS).

WikiGUM: Exhaustive Entity Linking for Wikification in 12 Genres pdf

Jessica Lin, Amir Zeldes, Amir Zeldes, 2021, LAW.

Towards Accurate Run-Time Hardware-Assisted Stealthy Malware Detection: A Lightweight, Yet Effective Time Series CNN-Based Approach

Houman Homayoun, Hosein Mohammadi Makrani, Yifeng Gao, 2021, Cryptography.

Finding the Unusual Medical Time Series: Algorithms and Applications

Jessica Lin, Eamonn Keogh, Helga Van Herle, 2005 .

Decisions on Multivariate Time Series : Combining Domain Knowledge with Utility Maximization

Jessica Lin, Alexander Brodsky, Chun-Kit Ngan, 2010 .

FINDING OR NOT FINDING RULES IN TIME SERIES

Eamonn J. Keogh, Jessica Lin, Eamonn Keogh, 2004 .

Mining motifs in massive time series databases

Eamonn J. Keogh, Stefano Lonardi, Jessica Lin, 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..