118 search results - page 8 / 24 » Efficient mining of frequent sequence generators |
KDD
2006
ACM
15 years 10 months ago
2006
ACM
Mining frequent closed itemsets provides complete and condensed information for non-redundant association rules generation. Extensive studies have been done on mining frequent clo...
107
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KDD
2007
ACM
15 years 10 months ago
2007
ACM
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
ADMA
2010
Springer
14 years 7 months ago
2010
Springer
Abstract. This paper describes an approach to identifying and comparing frequent pattern trends in social networks. A frequent pattern trend is defined as a sequence of time-stampe...
118
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DAWAK
2006
Springer
15 years 1 months ago
2006
Springer
Recently, the data stream, which is an unbounded sequence of data elements generated at a rapid rate, provides a dynamic environment for collecting data sources. It is likely that ...
100
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CORR
2010
Springer
14 years 9 months ago
2010
Springer
Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mini...