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122
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AIME
2005
Springer
15 years 4 months ago
An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset
In recent years, a few researchers have challenged past dogma and suggested methods (such as the IC algorithm) for inferring causal relationship among variables using steady state ...
Xin Zhang, Chitta Baral, Seungchan Kim
104
Voted
DEXA
2008
Springer
123views Database» more  DEXA 2008»
15 years 4 months ago
Emerging Pattern Based Classification in Relational Data Mining
The usage of descriptive data mining methods for predictive purposes is a recent trend in data mining research. It is well motivated by the understandability of learned models, the...
Michelangelo Ceci, Annalisa Appice, Donato Malerba
112
Voted
LREC
2008
90views Education» more  LREC 2008»
15 years 4 months ago
Revealing Relations between Open and Closed Answers in Questionnaires through Text Clustering Evaluation
Open answers in questionnaires contain valuable information that is very time-consuming to analyze manually. We present a method for hypothesis generation from questionnaires base...
Magnus Rosell, Sumithra Velupillai
136
Voted
LWA
2004
15 years 3 months ago
Efficient Frequent Pattern Mining in Relational Databases
Data mining on large relational databases has gained popularity and its significance is well recognized. However, the performance of SQL based data mining is known to fall behind ...
Xuequn Shang, Kai-Uwe Sattler, Ingolf Geist
AAAI
1993
15 years 3 months ago
Finding Accurate Frontiers: A Knowledge-Intensive Approach to Relational Learning
learning (EBL) component. In this paper we provide a brief review of FOIL and FOCL, then discuss how operationalizing a domain theory can adversely affect the accuracy of a learned...
Michael J. Pazzani, Clifford Brunk