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WAIM
2004
Springer
9 years 11 months ago
Mining Inheritance Rules from Genealogical Data
Data mining extracts implicit, previously unknown and potentially useful information from databases. Many approaches have been proposed to extract information, and one of the most ...
Yen-Liang Chen, Jing-Tin Lu
VLDB
2004
ACM
115views Database» more  VLDB 2004»
9 years 11 months ago
Semantic Mining and Analysis of Gene Expression Data
Association rules can reveal biological relevant relationship between genes and environments / categories. However, most existing association rule mining algorithms are rendered i...
Xin Xu, Gao Cong, Beng Chin Ooi, Kian-Lee Tan, Ant...
PAKDD
2004
ACM
94views Data Mining» more  PAKDD 2004»
9 years 11 months ago
Self-Similar Mining of Time Association Rules
Although the task of mining association rules has received considerable attention in the literature, algorithms to find time association rules are often inadequate, by either miss...
Daniel Barbará, Ping Chen, Zohreh Nazeri
KES
2004
Springer
9 years 11 months ago
Multi-agent Web Recommendation Method Based on Indirect Association Rules
Recommendation systems often use association rules as main technique to discover useful links among the set of transactions, especially web usage data – historical user sessions....
Przemyslaw Kazienko
IDEAL
2004
Springer
9 years 11 months ago
PRICES: An Efficient Algorithm for Mining Association Rules
In this paper, we present PRICES, an efficient algorithm for mining association rules, which first identifies all large itemsets and then generates association rules. Our approach ...
Chuan Wang, Christos Tjortjis
IDEAL
2004
Springer
9 years 11 months ago
A Framework for Mining Association Rules in Data Warehouses
The effort of data mining, especially in relation to association rules in real world business applications, is significantly important. Recently, association rules algorithms have ...
Haorianto Cokrowijoyo Tjioe, David Taniar
RSFDGRC
2005
Springer
110views Data Mining» more  RSFDGRC 2005»
9 years 11 months ago
A Rough Set Based Model to Rank the Importance of Association Rules
Abstract. Association rule algorithms often generate an excessive number of rules, many of which are not significant. It is difficult to determine which rules are more useful, int...
Jiye Li, Nick Cercone
PAKDD
2005
ACM
94views Data Mining» more  PAKDD 2005»
9 years 11 months ago
Progressive Sampling for Association Rules Based on Sampling Error Estimation
We explore in this paper a progressive sampling algorithm, called Sampling Error Estimation (SEE), which aims to identify an appropriate sample size for mining association rules. S...
Kun-Ta Chuang, Ming-Syan Chen, Wen-Chieh Yang
KDD
2005
ACM
163views Data Mining» more  KDD 2005»
9 years 11 months ago
Web mining from competitors' websites
This paper presents a framework for user-oriented text mining. It is then illustrated with an example of discovering knowledge from competitors’ websites. The knowledge to be di...
Xin Chen, Yi-fang Brook Wu
ISMIS
2005
Springer
9 years 11 months ago
Towards Ad-Hoc Rule Semantics for Gene Expression Data
The notion of rules is very popular and appears in different flavors, for example as association rules in data mining or as functional (or multivalued) dependencies in databases. ...
Marie Agier, Jean-Marc Petit, Einoshin Suzuki
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