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DMKD
1999
ACM
108views Data Mining» more  DMKD 1999»
13 years 12 months ago
Classification as Mining and Use of Labeled Itemsets
We investigate the relationship between association and classification mining. The main issue in association mining is the discovery of interesting patterns of the data, so called...
Dimitris Meretakis, Beat Wüthrich
ADC
2006
Springer
188views Database» more  ADC 2006»
14 years 1 months ago
Discovering task-oriented usage pattern for web recommendation
Web transaction data usually convey user task-oriented behaviour pattern. Web usage mining technique is able to capture such informative knowledge about user task pattern from usa...
Guandong Xu, Yanchun Zhang, Xiaofang Zhou
ICDM
2007
IEEE
145views Data Mining» more  ICDM 2007»
14 years 1 months ago
Using Data Mining to Estimate Missing Sensor Data
Estimating missing sensor values is an inherent problem in sensor network applications; however, existing data estimation approaches do not apply well to the context of datastream...
Le Gruenwald, Hamed Chok, Mazen Aboukhamis
ICFCA
2007
Springer
13 years 11 months ago
A New and Useful Syntactic Restriction on Rule Semantics for Tabular Datasets
Different rule semantics have been successively defined in many contexts such as implications in artificial intelligence, functional dependencies in databases or association rules...
Marie Agier, Jean-Marc Petit
ADC
2003
Springer
182views Database» more  ADC 2003»
14 years 25 days ago
CT-ITL : Efficient Frequent Item Set Mining Using a Compressed Prefix Tree with Pattern Growth
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent item sets is computationally the most expens...
Yudho Giri Sucahyo, Raj P. Gopalan