583 search results - page 11 / 117 » Mining evolving data streams for frequent patterns |
SIGKDD
2008
14 years 9 months ago
2008
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...
KDD
2003
ACM
15 years 10 months ago
2003
ACM
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
KDD
2009
ACM
15 years 4 months ago
2009
ACM
Over the past 15 years, numerous algorithms have been proposed for frequent pattern mining as it plays an essential role in many knowledge discovery and data mining (KDD) tasks. M...
ICDM
2006
IEEE
15 years 3 months ago
2006
IEEE
Incremental mining of sequential patterns from data streams is one of the most challenging problems in mining data streams. However, previous work of mining sequential patterns fr...
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...