1413 search results - page 9 / 283 » Mining Multiple Large Databases |
KDD
2007
ACM
14 years 8 months ago
2007
ACM
The world-wide web has become the most important information source for most of us. Unfortunately, there is no guarantee for the correctness of information on the web. Moreover, d...
SBACPAD
2003
IEEE
14 years 26 days ago
2003
IEEE
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
ICDE
1999
IEEE
14 years 9 months ago
1999
IEEE
KDD
1995
ACM
13 years 11 months ago
1995
ACM
Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerica...
IDEAS
2006
IEEE
14 years 1 months ago
2006
IEEE
Sequential pattern mining is very important because it is the basis of many applications. Yet how to efficiently implement the mining is difficult due to the inherent characteri...