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» Mining for Useful Association Rules Using the ATMS
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ICCBR
2003
Springer
15 years 9 months ago
Case Mining from Large Databases
Abstract. This paper presents an approach of case mining to automatically discover case bases from large datasets in order to improve both the speed and the quality of case based r...
Qiang Yang, Hong Cheng
ICDM
2007
IEEE
150views Data Mining» more  ICDM 2007»
15 years 10 months ago
Connections between Mining Frequent Itemsets and Learning Generative Models
Frequent itemsets mining is a popular framework for pattern discovery. In this framework, given a database of customer transactions, the task is to unearth all patterns in the for...
Srivatsan Laxman, Prasad Naldurg, Raja Sripada, Ra...
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
16 years 4 months ago
The offset tree for learning with partial labels
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
Alina Beygelzimer, John Langford
INFOCOM
2009
IEEE
15 years 10 months ago
Minimizing the Cost of Mine Selection Via Sensor Networks
— In this paper, we study sensor enabled landmine networks by formulating a minimum-cost mine selection problem. The problem arises in a target defence scenario, where the object...
Changlei Liu, Guohong Cao
HICSS
2008
IEEE
121views Biometrics» more  HICSS 2008»
15 years 10 months ago
The Impact of Directionality in Predications on Text Mining
The number of publications in biomedicine is increasing enormously each year. To help researchers digest the information in these documents, text mining tools are being developed ...
Gondy Leroy, Marcelo Fiszman, Thomas C. Rindflesch