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167
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ICDM
2002
IEEE
156views Data Mining» more  ICDM 2002»
15 years 11 months ago
Predicting Rare Events In Temporal Domains
Temporal data mining aims at finding patterns in historical data. Our work proposes an approach to extract temporal patterns from data to predict the occurrence of target events,...
Ricardo Vilalta, Sheng Ma
EDBT
2006
ACM
150views Database» more  EDBT 2006»
16 years 6 months ago
On Futuristic Query Processing in Data Streams
Recent advances in hardware technology have resulted in the ability to collect and process large amounts of data. In many cases, the collection of the data is a continuous process ...
Charu C. Aggarwal
162
Voted
RSFDGRC
2005
Springer
110views Data Mining» more  RSFDGRC 2005»
15 years 11 months ago
A Rough Set Based Model to Rank the Importance of Association Rules
Abstract. Association rule algorithms often generate an excessive number of rules, many of which are not significant. It is difficult to determine which rules are more useful, int...
Jiye Li, Nick Cercone
ICMLA
2009
15 years 3 months ago
Transformation Learning Via Kernel Alignment
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
Andrew Howard, Tony Jebara
KDD
2006
ACM
143views Data Mining» more  KDD 2006»
16 years 6 months ago
Algorithms for discovering bucket orders from data
Ordering and ranking items of different types are important tasks in various applications, such as query processing and scientific data mining. A total order for the items can be ...
Aristides Gionis, Heikki Mannila, Kai Puolamä...