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CORR
2010
Springer
208views Education» more  CORR 2010»
13 years 7 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
PKDD
2005
Springer
94views Data Mining» more  PKDD 2005»
14 years 1 months ago
Evaluating the Correlation Between Objective Rule Interestingness Measures and Real Human Interest
In the last few years, the data mining community has proposed a number of objective rule interestingness measures to select the most interesting rules, out of a large set of discov...
Deborah R. Carvalho, Alex Alves Freitas, Nelson F....
KDD
1998
ACM
106views Data Mining» more  KDD 1998»
13 years 11 months ago
Simultaneous Reliability Evaluation of Generality and Accuracy for Rule Discovery in Databases
This paper presents an algorithm for discovering conjunction rules with high reliability from data sets. The discovery of conjunction rules, each of which is a restricted form of ...
Einoshin Suzuki
KDD
1995
ACM
99views Data Mining» more  KDD 1995»
13 years 11 months ago
Knowledge Discovery in a Water Quality Database
Weapply rule induction to mine for knowledgein a database which stores data obtained by monitoring the water quality of the rivers in Slovenia. The database contains measurementda...
Saso Dzeroski
CORR
2010
Springer
118views Education» more  CORR 2010»
13 years 7 months ago
Automatically Discovering Hidden Transformation Chaining Constraints
Abstract. Model transformations operate on models conforming to precisely defined metamodels. Consequently, it often seems relatively easy to chain them: the output of a transforma...
Raphaël Chenouard, Frédéric Jou...