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200
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KDD
2008
ACM
178views Data Mining» more  KDD 2008»
16 years 7 months ago
iSAX: indexing and mining terabyte sized time series
Current research in indexing and mining time series data has produced many interesting algorithms and representations. However, it has not led to algorithms that can scale to the ...
Jin Shieh, Eamonn J. Keogh
204
Voted
KDD
2003
ACM
156views Data Mining» more  KDD 2003»
16 years 7 months ago
Fast vertical mining using diffsets
A number of vertical mining algorithms have been proposed recently for association mining, which have shown to be very effective and usually outperform horizontal approaches. The ...
Mohammed Javeed Zaki, Karam Gouda
229
Voted
WLP
2004
Springer
16 years 6 days ago
SQL Based Frequent Pattern Mining with FP-Growth
Scalable data mining in large databases is one of today’s real challenges to database research area. The integration of data mining with database systems is an essential componen...
Xuequn Shang, Kai-Uwe Sattler, Ingolf Geist
211
Voted
INFOVIS
2000
IEEE
15 years 11 months ago
Visualizing Sequential Patterns for Text Mining
A sequential pattern in data mining is a finite series of elements such as A → B → C → D where A, B, C, and D are elements of the same domain. The mining of sequential patte...
Pak Chung Wong, Wendy Cowley, Harlan Foote, Elizab...
192
Voted
CINQ
2004
Springer
151views Database» more  CINQ 2004»
15 years 10 months ago
Query Languages Supporting Descriptive Rule Mining: A Comparative Study
Recently, inductive databases (IDBs) have been proposed to tackle the problem of knowledge discovery from huge databases. With an IDB, the user/analyst performs a set of very diffe...
Marco Botta, Jean-François Boulicaut, Cyril...