175 search results - page 3 / 35 » Top-Down Mining of Interesting Patterns from Very High Dimen... |
CCGRID
2010
IEEE
13 years 8 months ago
2010
IEEE
Abstract--Large high dimension datasets are of growing importance in many fields and it is important to be able to visualize them for understanding the results of data mining appro...
ICDE
2006
IEEE
14 years 8 months ago
2006
IEEE
Most previously proposed frequent graph mining algorithms are intended to find the complete set of all frequent, closed subgraphs. However, in many cases only a subset of the freq...
ICDM
2003
IEEE
14 years 20 days ago
2003
IEEE
Clustering is the process of grouping a set of objects into classes of similar objects. Because of unknownness of the hidden patterns in the data sets, the definition of similari...
SBACPAD
2003
IEEE
14 years 20 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...
KDD
1999
ACM
13 years 11 months ago
1999
ACM
We introduce a new kind of patterns, called emerging patterns (EPs), for knowledge discovery from databases. EPs are defined as itemsets whose supports increase significantly from...