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AUSDM
2006
Springer
118views Data Mining» more  AUSDM 2006»
14 years 1 months ago
Efficiently Identifying Exploratory Rules' Significance
How to efficiently discard potentially uninteresting rules in exploratory rule discovery is one of the important research foci in data mining. Many researchers have presented algor...
Shiying Huang, Geoffrey I. Webb
CORR
2010
Springer
208views Education» more  CORR 2010»
13 years 10 months ago
Discovering potential user browsing behaviors using custom-built apriori algorithm
Most of the organizations put information on the web because they want it to be seen by the world. Their goal is to have visitors come to the site, feel comfortable and stay a whi...
Sandeep Singh Rawat, Lakshmi Rajamani
DOLAP
2010
ACM
13 years 7 months ago
Using ontologies to discover fact IDs
Object identification is a crucial step in most information systems. Nowadays, we have many different ways to identify entities such as surrogates, keys and object identifiers. Ho...
Alberto Abelló, Oscar Romero
IJSI
2008
104views more  IJSI 2008»
13 years 9 months ago
Attribute Selection for Numerical Databases that Contain Correlations
There are many correlated attributes in a database. Conventional attribute selection methods are not able to handle such correlations and tend to eliminate important rules that exi...
Taufik Djatna, Yasuhiko Morimoto
DATAMINE
2010
133views more  DATAMINE 2010»
13 years 10 months ago
Using background knowledge to rank itemsets
Assessing the quality of discovered results is an important open problem in data mining. Such assessment is particularly vital when mining itemsets, since commonly many of the disc...
Nikolaj Tatti, Michael Mampaey