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» Mining Compressing Sequential Patterns
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KDD
2006
ACM
153views Data Mining» more  KDD 2006»
14 years 7 months ago
Model compression
Often the best performing supervised learning models are ensembles of hundreds or thousands of base-level classifiers. Unfortunately, the space required to store this many classif...
Cristian Bucila, Rich Caruana, Alexandru Niculescu...
KES
2004
Springer
14 years 23 days ago
Consumer Behavior Analysis by Graph Mining Technique
In this paper we discuss how graph mining system is applied to sales transaction data so as to understand consumer behavior. First, existing research of consumer behavior analysis ...
Katsutoshi Yada, Hiroshi Motoda, Takashi Washio, A...
KDD
1999
ACM
185views Data Mining» more  KDD 1999»
13 years 11 months ago
User-Driven Navigation Pattern Discovery from Internet Data
Managers of electronic commerce sites need to learn as much as possible about their customers and those browsing their virtual premises, in order to maximise the return on marketin...
Matthias Baumgarten, Alex G. Büchner, Sarabjo...
PAKDD
2004
ACM
127views Data Mining» more  PAKDD 2004»
14 years 23 days ago
Exploiting Recurring Usage Patterns to Enhance Filesystem and Memory Subsystem Performance
In many cases, normal uses of a system form patterns that will repeat. The most common patterns can be collected into a prediction model which will essentially predict that usage p...
Benjamin Rutt, Srinivasan Parthasarathy
DAWAK
2005
Springer
13 years 9 months ago
Incremental Data Mining Using Concurrent Online Refresh of Materialized Data Mining Views
Abstract. Data mining is an iterative process. Users issue series of similar data mining queries, in each consecutive run slightly modifying either the definition of the mined dat...
Mikolaj Morzy, Tadeusz Morzy, Marek Wojciechowski,...