80 search results - page 13 / 16 » Clustering in a Multi-Agent Data Mining Environment |
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
SBACPAD
2003
IEEE
14 years 22 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...
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...
KDD
2010
ACM
13 years 5 months ago
2010
ACM
Identifying hot spots of moving vehicles in an urban area is essential to many smart city applications. The practical research on hot spots in smart city presents many unique feat...
FGCS
2010
13 years 6 months ago
2010
This paper describes our research effort to employ Grid technologies to enable the development of geoscience applications by integrating workflow technologies with data mining r...