302 search results - page 35 / 61 » Efficient frequent pattern mining over data streams |
81
Voted
PVLDB
2008
14 years 9 months ago
2008
Sequence data is ubiquitous and finding frequent sequences in a large database is one of the most common problems when analyzing sequence data. Unfortunately many sources of seque...
CIB
2004
14 years 9 months ago
2004
In multi-database mining, there can be many local patterns (frequent itemsets or association rules) in each database. At the end of multi-database mining, it is necessary to analyz...
75
Voted
KDD
2003
ACM
15 years 10 months ago
2003
ACM
High-dimensional data poses a severe challenge for data mining. Feature selection is a frequently used technique in preprocessing high-dimensional data for successful data mining....
ASC
2008
14 years 9 months ago
2008
Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...
AUSDM
2007
Springer
15 years 3 months ago
2007
Springer
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 ...