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Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
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Travelled to:
1 × Australia
1 × France
1 × Korea
1 × Norway
17 × USA
2 × Canada
2 × China
Collaborated with:
M.J.Pazzani S.Lonardi A.Mueen L.Wei B.Y.Chiu N.Begum L.Ye X.Wang M.Vlachos T.Rakthanmanon G.E.A.P.A.Batista Y.Chen B.Hu C.(.Ratanamahatana J.Shieh S.Kasetty P.Smyth J.Zakaria S.Lee C.R.Shelton M.Hadjieleftheriou D.Gunopulos L.Ulanova V.B.Zordan X.Xi J.Lin J.P.Lankford D.M.Nystrom Q.Zhu O.M.Tataw N.E.Young S.Chu B.J.L.Campana J.Wang M.Hasan V.J.Tsotras A.Mafra-Neto E.Rowton A.W.Fu L.Y.H.Lau H.Ding G.Trajcevski P.Scheuermann D.Yankov J.Medina P.Viana A.Gordon-Ross E.Barros F.Vahid C.A.Ratanamahatana A.Anagnostopoulos P.S.Yu T.Palpanas M.Cardle M.Shokoohi-Yekta T.Yan H.Chen G.Jiang K.Zhang Y.Hao M.B.Westover
Talks about:
time (31) seri (25) mine (11) index (8) data (7) databas (6) warp (5) discoveri (4) distanc (4) classif (4)

Person: Eamonn J. Keogh

DBLP DBLP: Keogh:Eamonn_J=

Contributed to:

KDD 20152015
VLDB 20152014
ICDAR 20132013
KDD 20132013
CIKM 20122012
KDD 20122012
KDD 20112011
KDD 20102010
KDD 20092009
KDD 20082008
VLDB 20082008
KDD 20072007
DAC 20062006
ICML 20062006
KDD 20062006
VLDB 20062006
VLDB 20052005
KDD 20042004
VLDB 20042004
KDD 20032003
KDD 20022002
VLDB 20022002
KDD 20012001
KDD 20002000
SIGIR 19991999
KDD 19981998
KDD 19971997
JCDL 20082008

Wrote 39 papers:

KDD-2015-BegumUWK #clustering #novel
Accelerating Dynamic Time Warping Clustering with a Novel Admissible Pruning Strategy (NB, LU, JW, EJK), pp. 49–58.
Discovery of Meaningful Rules in Time Series (MSY, YC, BJLC, BH, JZ, EJK), pp. 1085–1094.
KDD-2015-UlanovaYCJKZ #performance #physics #profiling
Efficient Long-Term Degradation Profiling in Time Series for Complex Physical Systems (LU, TY, HC, GJ, EJK, KZ), pp. 2167–2176.
VLDB-2015-BegumK14 #bound
Rare Time Series Motif Discovery from Unbounded Streams (NB, EJK), pp. 149–160.
ICDAR-2013-TatawRK #clustering #using
Clustering of Symbols Using Minimal Description Length (OMT, TR, EJK), pp. 180–184.
KDD-2013-ChenHKB #learning #named
DTW-D: time series semi-supervised learning from a single example (YC, BH, EJK, GEAPAB), pp. 383–391.
KDD-2013-HaoCZ0RK #learning #towards
Towards never-ending learning from time series streams (YH, YC, JZ, BH, TR, EJK), pp. 874–882.
CIKM-2012-HasanMTK #query
Diversifying query results on semi-structured data (MH, AM, VJT, EJK), pp. 2099–2103.
KDD-2012-RakthanmanonCMBWZZK #mining #sequence
Searching and mining trillions of time series subsequences under dynamic time warping (TR, BJLC, AM, GEAPAB, MBW, QZ, JZ, EJK), pp. 262–270.
KDD-2011-BatistaKMR #data mining #mining
SIGKDD demo: sensors and software to allow computational entomology, an emerging application of data mining (GEAPAB, EJK, AMN, ER), pp. 761–764.
KDD-2011-MueenKY #classification #named
Logical-shapelets: an expressive primitive for time series classification (AM, EJK, NEY), pp. 1154–1162.
KDD-2010-MueenK #maintenance #online
Online discovery and maintenance of time series motifs (AM, EJK), pp. 1089–1098.
KDD-2009-YeK #data mining #mining
Time series shapelets: a new primitive for data mining (LY, EJK), pp. 947–956.
KDD-2009-ZhuWKL #mining
Augmenting the generalized hough transform to enable the mining of petroglyphs (QZ, XW, EJK, SHL), pp. 1057–1066.
KDD-2008-ShiehK #mining #named
iSAX: indexing and mining terabyte sized time series (JS, EJK), pp. 623–631.
VLDB-2008-DingTSWK #comparison #distance #metric #mining #query
Querying and mining of time series data: experimental comparison of representations and distance measures (HD, GT, PS, XW, EJK), pp. 1542–1552.
KDD-2007-YankovKMCZ #detection #scalability
Detecting time series motifs under uniform scaling (DY, EJK, JM, BYcC, VBZ), pp. 844–853.
DAC-2006-VianaGKBV #configuration management #performance
Configurable cache subsetting for fast cache tuning (PV, AGR, EJK, EB, FV), pp. 695–700.
ICML-2006-XiKSWR #classification #performance #reduction #using
Fast time series classification using numerosity reduction (XX, EJK, CRS, LW, CAR), pp. 1033–1040.
KDD-2006-AnagnostopoulosVHKY #segmentation
Global distance-based segmentation of trajectories (AA, MV, MH, EJK, PSY), pp. 34–43.
KDD-2006-WeiK #classification
Semi-supervised time series classification (LW, EJK), pp. 748–753.
VLDB-2006-Keogh #database #mining #scalability
A Decade of Progress in Indexing and Mining Large Time Series Databases (EJK), p. 1268.
VLDB-2006-KeoghWXLV #distance #metric
LB_Keogh Supports Exact Indexing of Shapes under Rotation Invariance with Arbitrary Representations and Distance Measures (EJK, LW, XX, SHL, MV), pp. 882–893.
VLDB-2005-FuKLR #query #scalability
Scaling and Time Warping in Time Series Querying (AWCF, EJK, LYHL, C(R), pp. 649–660.
KDD-2004-KeoghLR #data mining #mining #towards
Towards parameter-free data mining (EJK, SL, C(R), pp. 206–215.
KDD-2004-LinKLLN #mining #monitoring #visual notation
Visually mining and monitoring massive time series (JL, EJK, SL, JPL, DMN), pp. 460–469.
VLDB-2004-LinKLLN #database #mining #monitoring #named #visual notation
VizTree: a Tool for Visually Mining and Monitoring Massive Time Series Databases (JL, EJK, SL, JPL, DMN), pp. 1269–1272.
VLDB-2004-PalpanasCGKZ #database #scalability
Indexing Large Human-Motion Databases (EJK, TP, VBZ, DG, MC), pp. 780–791.
KDD-2003-ChiuKL #probability
Probabilistic discovery of time series motifs (BYcC, EJK, SL), pp. 493–498.
KDD-2003-VlachosHGK #distance #metric #multi
Indexing multi-dimensional time-series with support for multiple distance measures (MV, MH, DG, EJK), pp. 216–225.
KDD-2002-KeoghK #benchmark #data mining #empirical #metric #mining #on the #overview
On the need for time series data mining benchmarks: a survey and empirical demonstration (EJK, SK), pp. 102–111.
KDD-2002-KeoghLC #database #linear
Finding surprising patterns in a time series database in linear time and space (EJK, SL, BYcC), pp. 550–556.
Exact Indexing of Dynamic Time Warping (EJK), pp. 406–417.
KDD-2001-KeoghCP #approach #database #named #scalability
Ensemble-index: a new approach to indexing large databases (EJK, SC, MJP), pp. 117–125.
KDD-2000-KeoghP #scalability
Scaling up dynamic time warping for datamining applications (EJK, MJP), pp. 285–289.
SIGIR-1999-KeoghP #feedback #retrieval
Relevance Feedback Retrieval of Time Series Data (EJK, MJP), pp. 183–190.
KDD-1998-KeoghP #classification #clustering #feedback #performance #representation
An Enhanced Representation of Time Series Which Allows Fast and Accurate Classification, Clustering and Relevance Feedback (EJK, MJP), pp. 239–243.
KDD-1997-KeoghS #approach #database #pattern matching #performance #probability
A Probabilistic Approach to Fast Pattern Matching in Time Series Databases (EJK, PS), pp. 24–30.
JCDL-2008-WangYKS #image
Annotating historical archives of images (XW, LY, EJK, CRS), pp. 341–350.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.