148 search results - page 21 / 30 » Frequent Itemsets Mining for Database Auto-Administration |
KDD
2005
ACM
14 years 8 months ago
2005
ACM
Frequent-pattern mining has been studied extensively on scalable methods for mining various kinds of patterns including itemsets, sequences, and graphs. However, the bottleneck of...
ISCIS
2004
Springer
14 years 1 months ago
2004
Springer
One of the classic data mining problems is discovery of frequent itemsets. This problem particularly attracts database community as it resembles traditional database querying. In t...
ICDE
2003
IEEE
14 years 9 months ago
2003
IEEE
The output of boolean association rule mining algorithms is often too large for manual examination. For dense datasets, it is often impractical to even generate all frequent items...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
We present a prototype of an inductive database. Our system enables the user to query not only the data stored in the database but also generalizations (e.g. rules or trees) over ...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
In this paper, we propose a set of novel regression-based approaches to effectively and efficiently summarize frequent itemset patterns. Specifically, we show that the problem of ...