319 search results - page 20 / 64 » Algorithms for Mining Distance-Based Outliers in Large Datas... |
KDD
2006
ACM
15 years 10 months ago
2006
ACM
In recent years there has been an increased interest in frequent pattern discovery in large databases of graph structured objects. While the frequent connected subgraph mining pro...
ICDM
2005
IEEE
15 years 3 months ago
2005
IEEE
Frequent itemset mining is a core data mining operation and has been extensively studied over the last decade. This paper takes a new approach for this problem and makes two major...
KDD
1999
ACM
15 years 2 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...
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BMCBI
2006
14 years 10 months ago
2006
Background: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease...
KDD
2003
ACM
15 years 10 months ago
2003
ACM
We address the issues of discovering significant binary relationships in transaction datasets in a weighted setting. Traditional model of association rule mining is adapted to han...