42 search results - page 2 / 9 » Pincer-Search: An Efficient Algorithm for Discovering the Ma... |
IEAAIE
2009
Springer
13 years 11 months ago
2009
Springer
Data mining refers to the process of revealing unknown and potentially useful information from a large database. Frequent itemsets mining is one of the foundational problems in dat...
KDD
2002
ACM
14 years 5 months ago
2002
ACM
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
ICDM
2009
IEEE
13 years 2 months ago
2009
IEEE
The recent proliferation of graph data in a wide spectrum of applications has led to an increasing demand for advanced data analysis techniques. In view of this, many graph mining ...
ISCI
2008
13 years 5 months ago
2008
The use of frequent itemsets has been limited by the high computational cost as well as the large number of resulting itemsets. In many real-world scenarios, however, it is often ...
RCIS
2010
13 years 3 months ago
2010
—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...