146 search results - page 4 / 30 » A Distribution-Based Clustering Algorithm for Mining in Larg... |
SBACPAD
2003
IEEE
13 years 11 months 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...
SSD
1997
Springer
13 years 10 months ago
1997
Springer
Abstract. Knowledge discovery in databases (KDD) is an important task in spatial databases since both, the number and the size of such databases are rapidly growing. This paper int...
ICTAI
2006
IEEE
13 years 11 months ago
2006
IEEE
The goal of spatial co-location pattern mining is to find subsets of spatial features frequently located together in spatial proximity. Example co-location patterns include servi...
JCP
2008
13 years 5 months ago
2008
Taking the design of data analyzing software for imaging brain function -- SPM (Statistical Parameters Mapping) for reference, this study combined MATLAB, GIS and SDM organically, ...
SIGMOD
2000
ACM
13 years 10 months ago
2000
ACM
Clustering is one of the most important tasks performed in Data Mining applications. This paper presents an e cient SQL implementation of the EM algorithm to perform clustering in...