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88
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AUSDM
2007
Springer
131views Data Mining» more  AUSDM 2007»
15 years 7 months ago
A Bottom-Up Projection Based Algorithm for Mining High Utility Itemsets
Mining High Utility Itemsets from a transaction database is to find itemsests that have utility above a user-specified threshold. This problem is an extension of Frequent Itemset ...
Alva Erwin, Raj P. Gopalan, N. R. Achuthan
97
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AUSDM
2006
Springer
94views Data Mining» more  AUSDM 2006»
15 years 4 months ago
Marking Time in Sequence Mining
Sequence mining is often conducted over static and temporal datasets as well as over collections of events (episodes). More recently, there has also been a focus on the mining of ...
Carl Mooney, John F. Roddick
94
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CIKM
2009
Springer
15 years 4 months ago
Mining data streams with periodically changing distributions
Dynamic data streams are those whose underlying distribution changes over time. They occur in a number of application domains, and mining them is important for these applications....
Yingying Tao, M. Tamer Özsu
135
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IADIS
2008
15 years 2 months ago
Web Mining: A Key to Improve Business on Web
This paper takes an overview of the web mining concept and how it can be useful and beneficial to the business improvement by facilitating its applications in various areas over t...
Pradnya Purandare
104
Voted
GECCO
2008
Springer
115views Optimization» more  GECCO 2008»
15 years 2 months ago
A genetic programming approach to business process mining
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...
Chris J. Turner, Ashutosh Tiwari, Jörn Mehnen