319 search results - page 12 / 64 » Algorithms for Mining Distance-Based Outliers in Large Datas... |
KDD
2009
ACM
15 years 10 months ago
2009
ACM
Given a real, and weighted person-to-person network which changes over time, what can we say about the cliques that it contains? Do the incidents of communication, or weights on t...
GECCO
2003
Springer
15 years 3 months ago
2003
Springer
In this paper, we present a novel evolutionary algorithm, called NOCEA, which is suitable for Data Mining (DM) clustering applications. NOCEA evolves individuals that consist of a ...
CIKM
2009
Springer
14 years 7 months ago
2009
Springer
In this paper, we present a framework for mining diverging patterns, a new type of contrast patterns whose frequency changes significantly differently in two data sets, e.g., it c...
DASFAA
2007
IEEE
2007
IEEE
LAPIN: Effective Sequential Pattern Mining Algorithms by Last Position Induction for Dense Databases
15 years 4 months ago
Sequential pattern mining is very important because it is the basis of many applications. Although there has been a great deal of effort on sequential pattern mining in recent year...
IDEAS
2006
IEEE
15 years 4 months ago
2006
IEEE
Sequential pattern mining is very important because it is the basis of many applications. Yet how to efficiently implement the mining is difficult due to the inherent characteri...