DIS
2007
Springer
13 years 8 months ago
2007
Springer
In this work we study the mining of top-K frequent closed itemsets, a recently proposed variant of the classical problem of mining frequent closed itemsets where the support thresh...
SIGMOD
1997
ACM
13 years 8 months ago
1997
ACM
One of the most well-studied problems in data mining is mining for association rules in market basket data. Association rules, whose significance is measured via support and confi...
VLDB
1998
ACM
13 years 8 months ago
1998
ACM
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
VLDB
1999
ACM
13 years 8 months ago
1999
ACM
Discovering sequential patterns is an important problem in data mining with a host of application domains including medicine, telecommunications, and the World Wide Web. Conventio...
DAWAK
1999
Springer
13 years 8 months ago
1999
Springer
Data mining can be used to extensively automate the data analysis process. Techniques for mining interval time series, however, have not been considered. Such time series are commo...
ICDE
2010
IEEE
13 years 8 months ago
2010
IEEE
Existing sequence mining algorithms mostly focus on mining for subsequences. However, a large class of applications, such as biological DNA and protein motif mining, require effici...
SIGMOD
2000
ACM
13 years 9 months ago
2000
ACM
Mining frequent patterns in transaction databases, time-series databases, and many other kinds of databases has been studied popularly in data mining research. Most of the previous...
ADBIS
2001
Springer
13 years 9 months ago
2001
Springer
Data mining is an interactive and iterative process. It is very likely that a user will execute a series of similar queries differing in pattern constraints and mining parameters,...
SIGMOD
2010
ACM
13 years 9 months ago
2010
ACM
Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...
ICDM
2002
IEEE
13 years 9 months ago
2002
IEEE
Association rule mining is an important data mining problem. It is found to be useful for conventional relational data. However, previous work has mostly targeted on mining a sing...