Indexing and Mining Time Series Data

作者: Eamonn Keogh

DOI: 10.1007/978-3-319-23519-6_598-2

关键词:

摘要:

参考文章(21)
Heikki Mannila, King-Ip Lin, Gautam Das, Padhraic Smyth, Gopal Renganathan, Rule discovery from time series knowledge discovery and data mining. pp. 16- 22 ,(1998)
Piotr Indyk, Nick Koudas, S. Muthukrishnan, Identifying Representative Trends in Massive Time Series Data Sets Using Sketches very large data bases. pp. 363- 372 ,(2000)
Davood Rafiei, Alberto O. Mendelzon, Efficient Retrieval of Similar Time Sequences Using DFT. FODO. pp. 249- 257 ,(1998)
Pierre Geurts, Pattern Extraction for Time Series Classification european conference on principles of data mining and knowledge discovery. pp. 115- 127 ,(2001) , 10.1007/3-540-44794-6_10
Eamonn Keogh, Stefano Lonardi, Bill 'Yuan-chi' Chiu, Finding surprising patterns in a time series database in linear time and space Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '02. pp. 550- 556 ,(2002) , 10.1145/775047.775128
Yi-Leh Wu, Divyakant Agrawal, Amr El Abbadi, A comparison of DFT and DWT based similarity search in time-series databases Proceedings of the ninth international conference on Information and knowledge management - CIKM '00. pp. 488- 495 ,(2000) , 10.1145/354756.354857
Eamonn Keogh, Shruti Kasetty, On the need for time series data mining benchmarks Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '02. pp. 102- 111 ,(2002) , 10.1145/775047.775062
Byoung-Kee Yi, Christos Faloutsos, Fast Time Sequence Indexing for Arbitrary Lp Norms very large data bases. pp. 385- 394 ,(2000)
Xiaopeng Xi, Eamonn Keogh, Christian Shelton, Li Wei, Chotirat Ann Ratanamahatana, Fast time series classification using numerosity reduction Proceedings of the 23rd international conference on Machine learning - ICML '06. pp. 1033- 1040 ,(2006) , 10.1145/1143844.1143974
Valery Guralnik, Jaideep Srivastava, Event detection from time series data knowledge discovery and data mining. pp. 33- 42 ,(1999) , 10.1145/312129.312190