7150 search results - page 545 / 1430 » Graph-Based Data Mining |
176
click to vote
IJCNN
2006
IEEE
16 years 1 months ago
2006
IEEE
— Outliers refer to “minority” data that are different from most other data. They usually disturb data mining process. But, sometimes they provide valuable information. Thus,...
177
click to vote
KDD
2004
ACM
16 years 7 months ago
2004
ACM
Frequent itemset mining has been the subject of a lot of work in data mining research ever since association rules were introduced. In this paper we address a problem with frequen...
204
click to vote
AAAI
2008
15 years 9 months ago
2008
In this paper, we present a general data clustering algorithm which is based on the asymmetric pairwise measure of Markov random walk hitting time on directed graphs. Unlike tradi...
180
click to vote
ICDM
2008
IEEE
16 years 1 months ago
2008
IEEE
While data mining in chemoinformatics studied graph data with dozens of nodes, systems biology and the Internet are now generating graph data with thousands and millions of nodes....
217
click to vote
ICDE
2010
IEEE
15 years 11 months ago
2010
IEEE
Modern science is collecting massive amounts of data from sensors, instruments, and through computer simulation. It is widely believed that analysis of this data will hold the key ...