Year |
Citation |
Score |
2020 |
Li Q, Zhao L, Lee Y, Lin J. Contrast Pattern Mining in Paired Multivariate Time Series of a Controlled Driving Behavior Experiment Acm Transactions On Spatial Algorithms and Systems. 6: 1-28. DOI: 10.1145/3397272 |
0.314 |
|
2019 |
Gao Y, Lin J. HIME: discovering variable-length motifs in large-scale time series Knowledge and Information Systems. 61: 513-542. DOI: 10.1007/S10115-018-1279-6 |
0.372 |
|
2018 |
Senin P, Lin J, Wang X, Oates T, Gandhi S, Boedihardjo AP, Chen C, Frankenstein S. GrammarViz 3.0: Interactive Discovery of Variable-Length Time Series Patterns Acm Transactions On Knowledge Discovery From Data. 12: 1-28. DOI: 10.1145/3051126 |
0.432 |
|
2018 |
Gao Y, Lin J. Exploring variable-length time series motifs in one hundred million length scale Data Mining and Knowledge Discovery. 32: 1200-1228. DOI: 10.1007/S10618-018-0570-1 |
0.414 |
|
2018 |
Wang X, Lin J, Patel N, Braun M. Exact variable-length anomaly detection algorithm for univariate and multivariate time series Data Mining and Knowledge Discovery. 32: 1806-1844. DOI: 10.1007/S10618-018-0569-7 |
0.4 |
|
2017 |
Bowman EK, Turek M, Tunison P, Porter R, Thomas S, Gintautas V, Shargo P, Lin J, Li Q, Gao Y, Li X, Mittu R, Rosé CP, Maki K, Bogart C, et al. Advanced text and video analytics for proactive decision making Proceedings of Spie. 10207. DOI: 10.1117/12.2276369 |
0.337 |
|
2013 |
Ngan CK, Brodsky A, Lin J. Multi-event decision making over multivariate time series International Journal of Information and Decision Sciences. 5: 263-282. DOI: 10.1504/Ijids.2013.055925 |
0.318 |
|
2011 |
Lin J, Cervone G, Waters N. DMGI 2010 workshop report: The First ACM SIGSPATIAL International Workshop on Data Mining for Geoinformatics (San Jose, California - November 2, 2010) Sigspatial Special. 3: 6-7. DOI: 10.1145/1966478.1966481 |
0.303 |
|
2007 |
Lin J, Keogh E, Wei L, Lonardi S. Experiencing SAX: A novel symbolic representation of time series Data Mining and Knowledge Discovery. 15: 107-144. DOI: 10.1007/S10618-007-0064-Z |
0.578 |
|
2007 |
Lonardi S, Lin J, Keogh E, Chiu B. Efficient discovery of unusual patterns in time series New Generation Computing. 25: 61-93. DOI: 10.1007/S00354-006-0004-2 |
0.562 |
|
2006 |
Keogh E, Lin J, Fu AW, Van Herle H. Finding unusual medical time-series subsequences: algorithms and applications. Ieee Transactions On Information Technology in Biomedicine : a Publication of the Ieee Engineering in Medicine and Biology Society. 10: 429-39. PMID 16871709 DOI: 10.1109/TITB.2005.863870 |
0.555 |
|
2006 |
Keogh E, Lin J, Lee S, Herle HV. Finding the most unusual time series subsequence: algorithms and applications Knowledge and Information Systems. 11: 1-27. DOI: 10.1007/S10115-006-0034-6 |
0.584 |
|
2005 |
Lin J, Keogh E, Lonardi S. Visualizing and Discovering Non-Trivial Patterns in Large Time Series Databases Information Visualization. 4: 61-82. DOI: 10.1057/Palgrave.Ivs.9500089 |
0.564 |
|
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