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KDD
1995
ACM
99views Data Mining» more  KDD 1995»
15 years 1 months ago
Active Data Mining
We introduce an active data mining paradigm that combines the recent work in data mining with the rich literature on active database systems. In this paradigm, data is continuousl...
Rakesh Agrawal, Giuseppe Psaila
PAKDD
2007
ACM
121views Data Mining» more  PAKDD 2007»
15 years 3 months ago
Two-Phase Algorithms for a Novel Utility-Frequent Mining Model
When companies seek for the combination of products which can constantly generate high profit, the association rule mining (ARM) or the utility mining will not achieve such task. ...
Jieh-Shan Yeh, Yu-Chiang Li, Chin-Chen Chang
PAKDD
2005
ACM
124views Data Mining» more  PAKDD 2005»
15 years 3 months ago
Finding Sporadic Rules Using Apriori-Inverse
We define sporadic rules as those with low support but high confidence: for example, a rare association of two symptoms indicating a rare disease. To find such rules using the w...
Yun Sing Koh, Nathan Rountree
DAWAK
2000
Springer
15 years 2 months ago
Data Mining Support in Database Management Systems
Abstract. The most popular data mining techniques consist in searching databases for frequently occurring patterns, e.g. association rules, sequential patterns. We argue that in co...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...
DGO
2003
137views Education» more  DGO 2003»
14 years 11 months ago
Time-Series Data Mining in a Geospatial Decision Support
This paper presents an overview of the motivation for, and the use of time-series data mining in, a Geospatial Decision Support System (GDSS). Our approach is based on a combinati...
Dan Li, Sherri K. Harms, Steve Goddard, William J....