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Bio
Dr. Keogh’s research areas include data mining, machine learning and information retrieval, specializing in techniques for solving similarity and indexing problems in time-series datasets. He has authored more than 120 papers. He received the IEEE ICDM 2007 best paper award, SIGMOD 2001 best paper award, and runner up best paper award in KDD 1997. He has given over two dozen well received tutorials in the premier conferences in data mining and databases.
Research Interests
Papers共 470 篇Author StatisticsCo-AuthorSimilar Experts
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KNOWLEDGE AND INFORMATION SYSTEMSno. 1 (2024): 59-87
CoRR (2024): 37-45
Nader Shabikay Senobari,Peter M. Shearer,Gareth J. Funning,Zachary Zimmerman,Yan Zhu,Philip Brisk,Eamonn Keogh
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTHno. 2 (2024)
Sadaf Tafazoli,Yue Lu,Renjie Wu, Thirumalai Vinjamoor Akhil Srinivas,Hannah Dela Cruz,Ryan Mercer,Eamonn Keogh
Knowledge and Information Systemspp.1-35, (2024)
PROCEEDINGS OF THE 29TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, KDD 2023pp.5807-5808, (2023)
23RD IEEE INTERNATIONAL CONFERENCE ON DATA MINING, ICDM 2023pp.1199-1204, (2023)
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERINGno. 3 (2023): 3253-3260
2023 IEEE International Conference on Data Mining (ICDM)pp.1199-1204, (2023)
FCCMpp.207-207, (2023)
Sadaf Tafazoli,Yue Lu,Renjie Wu, Thirumalai Vinjamoor Akhil Srinivas,Hannah Dela Cruz,Ryan Mercer,Eamonn Keogh
23RD IEEE INTERNATIONAL CONFERENCE ON DATA MINING, ICDM 2023pp.568-577, (2023)
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