158 search results - page 21 / 32 » Discovering frequent patterns in sensitive data |
GRC
2008
IEEE
13 years 8 months ago
2008
IEEE
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
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...
ENC
2004
IEEE
13 years 11 months ago
2004
IEEE
Discovering patterns or frequent episodes in transactions is an important problem in data-mining for the purpose of infering deductive rules from them. Because of the huge size of...
AI
2003
Springer
14 years 22 days ago
2003
Springer
Discovering association rules is one of the important tasks in data mining. While most of the existing algorithms are developed for efficient mining of frequent patterns, it has be...
JIIS
2006
13 years 7 months ago
2006
Discovering association rules is one of the important tasks in data mining. While most of the existing algorithms are developed for efficient mining of frequent patterns, it has be...