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SIGKDD
2008
113views more  SIGKDD 2008»
15 years 4 months ago
On exploiting the power of time in data mining
We introduce the new paradigm of Change Mining as data mining over a volatile, evolving world with the objective of understanding change. While there is much work on incremental m...
Mirko Böttcher, Frank Höppner, Myra Spil...
SDM
2012
SIAM
293views Data Mining» more  SDM 2012»
13 years 6 months ago
RP-growth: Top-k Mining of Relevant Patterns with Minimum Support Raising
One practical inconvenience in frequent pattern mining is that it often yields a flood of common or uninformative patterns, and thus we should carefully adjust the minimum suppor...
Yoshitaka Kameya, Taisuke Sato
ICDM
2008
IEEE
135views Data Mining» more  ICDM 2008»
15 years 11 months ago
A Data Stream Mining System
On-line data stream mining has attracted much research interest, but systems that can be used as a workbench for online mining have not been researched, since they pose many difï¬...
Hetal Thakkar, Barzan Mozafari, Carlo Zaniolo
BPM
2003
Springer
115views Business» more  BPM 2003»
15 years 8 months ago
Mining Most Specific Workflow Models from Event-Based Data
This paper presents an approach on mining most specific workflow models from event-based data. The approach is embedded in the context of data mining and knowledge discovery in dat...
Guido Schimm
ADVIS
2004
Springer
15 years 10 months ago
Incremental Association Rule Mining Using Materialized Data Mining Views
Data mining is an interactive and iterative process. Users issue series of similar queries until they receive satisfying results, yet currently available data mining systems do not...
Mikolaj Morzy, Tadeusz Morzy, Zbyszko Króli...