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PKDD
2004
Springer
118views Data Mining» more  PKDD 2004»
15 years 5 months ago
Learning from Multi-source Data
This paper proposes an efficient method to learn from multi source data with an Inductive Logic Programming method. The method is based on two steps. The first one consists in lea...
Élisa Fromont, Marie-Odile Cordier, Rene Qu...
DATAMINE
2000
115views more  DATAMINE 2000»
14 years 11 months ago
Integrating Association Rule Mining with Relational Database Systems: Alternatives and Implications
Data mining on large data warehouses is becoming increasingly important. In support of this trend, we consider a spectrum of architectural alternatives for coupling mining with da...
Sunita Sarawagi, Shiby Thomas, Rakesh Agrawal
88
Voted
DAWAK
2003
Springer
15 years 5 months ago
Using an Interest Ontology for Improved Support in Rule Mining
Abstract. This paper describes the use of a concept hierarchy for improving the results of association rule mining. Given a large set of tuples with demographic information and per...
Xiaoming Chen, Xuan Zhou, Richard B. Scherl, James...
88
Voted
IDEAL
2003
Springer
15 years 5 months ago
Experiences of Using a Quantitative Approach for Mining Association Rules
In recent years interest has grown in “mining” large databases to extract novel and interesting information. Knowledge Discovery in Databases (KDD) has been recognised as an em...
L. Dong, Christos Tjortjis
SAC
2004
ACM
15 years 5 months ago
Mining dependence rules by finding largest itemset support quota
In the paper a new data mining algorithm for finding the most interesting dependence rules is described. Dependence rules are derived from the itemsets with support significantly ...
Alexandr A. Savinov