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» Exception Rules Mining Based on Negative Association Rules
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IQ
2007
13 years 9 months ago
Rule-Based Measurement Of Data Quality In Nominal Data
: Sufficiently high data quality is crucial for almost every application. Nonetheless, data quality issues are nearly omnipresent. The reasons for poor quality cannot simply be bla...
Jochen Hipp, Markus Müller, Johannes Hohendor...
JMLR
2008
117views more  JMLR 2008»
13 years 7 months ago
Closed Sets for Labeled Data
Closed sets have been proven successful in the context of compacted data representation for association rule learning. However, their use is mainly descriptive, dealing only with ...
Gemma C. Garriga, Petra Kralj, Nada Lavrac
PKDD
2000
Springer
159views Data Mining» more  PKDD 2000»
13 years 11 months ago
An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data
Abstract. This paper proposes a novel approach named AGM to eciently mine the association rules among the frequently appearing substructures in a given graph data set. A graph tran...
Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda
APCCM
2006
13 years 9 months ago
Network data mining: methods and techniques for discovering deep linkage between attributes
Network Data Mining identifies emergent networks between myriads of individual data items and utilises special algorithms that aid visualisation of `emergent' patterns and tre...
John Galloway, Simeon J. Simoff
SNAM
2011
246views more  SNAM 2011»
13 years 2 months ago
Market basket analysis with networks
The field of market basket analysis, the search for meaningful associations in customer purchase data, is one of the oldest areas of data mining. The typical solution involves th...
Troy Raeder, Nitesh V. Chawla