3245 search results - page 161 / 649 » Mining Transformed Data Sets |
166
Voted
CORR
2010
Springer
15 years 6 months ago
2010
Springer
In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm...
169
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ICCBR
2001
Springer
15 years 10 months ago
2001
Springer
Abstract. This paper proposes a fuzzy-rough method of maintaining CaseBased Reasoning (CBR) systems. The methodology is mainly based on the idea that a large case library can be tr...
166
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ICDM
2007
IEEE
16 years 12 days ago
2007
IEEE
Frequent itemsets mining is a popular framework for pattern discovery. In this framework, given a database of customer transactions, the task is to unearth all patterns in the for...
192
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BPM
2009
Springer
16 years 21 days ago
2009
Springer
Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms ...
151
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CSSE
2006
IEEE
15 years 6 months ago
2006
IEEE
The recent investigation of privacy-preserving data mining has been motivated by the growing concern about the privacy of individuals when their data is stored, aggregated, and mi...