342 search results - page 10 / 69 » Incremental Mining of Sequential Patterns in Large Databases |
ICTAI
2003
IEEE
14 years 23 days ago
2003
IEEE
In this paper, we propose a parallel algorithm for mining maximal frequent itemsets from databases. A frequent itemset is maximal if none of its supersets is frequent. The new par...
IPPS
2002
IEEE
14 years 13 days ago
2002
IEEE
Most current work in data mining assumes that the database is static, and a database update requires rediscovering all the patterns by scanning the entire old and new database. Su...
INFOSCALE
2007
ACM
13 years 9 months ago
2007
ACM
— Since sequential patterns may exist in multiple sequence databases, we propose algorithm PropagatedMine+ to efficiently discover multi-domain sequential patterns. Prior works ...
VLDB
1999
ACM
13 years 11 months ago
1999
ACM
Discovering sequential patterns is an important problem in data mining with a host of application domains including medicine, telecommunications, and the World Wide Web. Conventio...
ADBIS
1999
Springer
13 years 11 months ago
1999
Springer
Abstract. One of the most important data mining tasks is discovery of frequently occurring patterns in sequences of events. Many algorithms for finding various patterns in sequenti...