متابعة
Eamonn Keogh
Eamonn Keogh
Distinguished Professor of Computer Science, University of California - Riverside
بريد إلكتروني تم التحقق منه على cs.ucr.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Exact indexing of dynamic time warping‏
E Keogh, CA Ratanamahatana‏
Knowledge and information systems 7, 358-386, 2005‏
36122005
A symbolic representation of time series, with implications for streaming algorithms‏
J Lin, E Keogh, S Lonardi, B Chiu‏
Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining …, 2003‏
28862003
Dimensionality reduction for fast similarity search in large time series databases‏
E Keogh, K Chakrabarti, M Pazzani, S Mehrotra‏
Knowledge and information Systems 3, 263-286, 2001‏
22532001
Experiencing SAX: a novel symbolic representation of time series‏
J Lin, E Keogh, L Wei, S Lonardi‏
Data Mining and knowledge discovery 15, 107-144, 2007‏
21892007
On the need for time series data mining benchmarks: a survey and empirical demonstration‏
E Keogh, S Kasetty‏
Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002‏
19132002
The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances‏
A Bagnall, J Lines, A Bostrom, J Large, E Keogh‏
Data mining and knowledge discovery 31, 606-660, 2017‏
19002017
Querying and mining of time series data: experimental comparison of representations and distance measures‏
H Ding, G Trajcevski, P Scheuermann, X Wang, E Keogh‏
Proceedings of the VLDB Endowment 1 (2), 1542-1552, 2008‏
18512008
An online algorithm for segmenting time series‏
E Keogh, S Chu, D Hart, M Pazzani‏
Proceedings 2001 IEEE international conference on data mining, 289-296, 2001‏
17242001
Time series shapelets: a new primitive for data mining‏
L Ye, E Keogh‏
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009‏
14182009
Searching and mining trillions of time series subsequences under dynamic time warping‏
T Rakthanmanon, B Campana, A Mueen, G Batista, B Westover, Q Zhu, ...‏
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012‏
13732012
Locally adaptive dimensionality reduction for indexing large time series databases‏
E Keogh, K Chakrabarti, M Pazzani, S Mehrotra‏
Proceedings of the 2001 ACM SIGMOD international conference on Management of …, 2001‏
13182001
Hot sax: Efficiently finding the most unusual time series subsequence‏
E Keogh, J Lin, A Fu‏
Fifth IEEE International Conference on Data Mining (ICDM'05), 8 pp., 2005‏
12042005
Scaling up dynamic time warping for datamining applications‏
EJ Keogh, MJ Pazzani‏
Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000‏
11482000
Experimental comparison of representation methods and distance measures for time series data‏
X Wang, A Mueen, H Ding, G Trajcevski, P Scheuermann, E Keogh‏
Data Mining and Knowledge Discovery 26, 275-309, 2013‏
11422013
The UCR time series classification archive‏
Y Chen, E Keogh, B Hu, N Begum, A Bagnall, A Mueen, G Batista‏
July, 2015‏
10672015
The UCR time series archive‏
HA Dau, A Bagnall, K Kamgar, CCM Yeh, Y Zhu, S Gharghabi, ...‏
IEEE/CAA Journal of Automatica Sinica 6 (6), 1293-1305, 2019‏
10642019
Segmenting time series: A survey and novel approach‏
E Keogh, S Chu, D Hart, M Pazzani‏
Data mining in time series databases, 1-21, 2004‏
9612004
Clustering of time-series subsequences is meaningless: implications for previous and future research‏
E Keogh, J Lin‏
Knowledge and information systems 8, 154-177, 2005‏
8942005
Towards parameter-free data mining‏
E Keogh, S Lonardi, CA Ratanamahatana‏
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004‏
8882004
Matrix profile I: all pairs similarity joins for time series: a unifying view that includes motifs, discords and shapelets‏
CCM Yeh, Y Zhu, L Ulanova, N Begum, Y Ding, HA Dau, DF Silva, ...‏
2016 IEEE 16th international conference on data mining (ICDM), 1317-1322, 2016‏
8802016
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مقالات 1–20