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» Mining Frequent Itemsets from Uncertain Data
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KDD
1997
ACM
104views Data Mining» more  KDD 1997»
13 years 12 months ago
An Efficient Algorithm for the Incremental Updation of Association Rules in Large Databases
Efficient discover of association rules in large databases is a we 1 studied problem and several ap-1y proaches have been proposed. However, it is non trivial to maintain the asso...
Shiby Thomas, Sreenath Bodagala, Khaled Alsabti, S...
ICDM
2008
IEEE
130views Data Mining» more  ICDM 2008»
14 years 2 months ago
Mining Temporal Patterns with Quantitative Intervals
In this paper we consider the problem of discovering frequent temporal patterns in a database of temporal sequences, where a temporal sequence is a set of items with associated da...
Thomas Guyet, Rene Quiniou
ICDM
2002
IEEE
118views Data Mining» more  ICDM 2002»
14 years 20 days ago
Mining Surveillance Video for Independent Motion Detection
This paper addresses the special applications of data mining techniques in homeland defense. The problem targeted, which is frequently encountered in military/intelligence surveil...
Zhongfei Zhang
PKDD
1999
Springer
272views Data Mining» more  PKDD 1999»
13 years 12 months ago
Handling Missing Data in Trees: Surrogate Splits or Statistical Imputation
Abstract. In many applications of data mining a - sometimes considerable - part of the data values is missing. This may occur because the data values were simply never entered into...
A. J. Feelders
PKDD
1999
Springer
101views Data Mining» more  PKDD 1999»
13 years 12 months ago
Rule Induction in Cascade Model Based on Sum of Squares Decomposition
A cascade model is a rule induction methodology using levelwise expansion of an itemset lattice, where the explanatory power of a rule set and its constituent rules are quantitativ...
Takashi Okada