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» Divide-and-Conquer Strategies for Process Mining
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KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 9 days ago
Improving data mining utility with projective sampling
Overall performance of the data mining process depends not just on the value of the induced knowledge but also on various costs of the process itself such as the cost of acquiring...
Mark Last
IJCNLP
2005
Springer
14 years 1 months ago
Mining Inter-Entity Semantic Relations Using Improved Transductive Learning
This paper studies the problem of mining relational data hidden in natural language text. In particular, it approaches the relation classification problem with the strategy of tra...
Zhu Zhang
CEC
2007
IEEE
13 years 11 months ago
Evolution of classification rules for comprehensible knowledge discovery
This article, which lies within the data mining framework, proposes a method to build classifiers based on the evolution of rules. The method, named REC (Rule Evolution for Classif...
Emiliano Carreno, Guillermo Leguizamón, Nea...
ICIP
2003
IEEE
14 years 9 months ago
Evaluation strategies for automatic linguistic indexing of pictures
With the rapid technological advances in machine learning and data mining, it is now possible to train computers with hundreds of semantic concepts for the purpose of annotating i...
James Ze Wang, Jia Li, Sui Ching Lin
KDD
2001
ACM
195views Data Mining» more  KDD 2001»
14 years 8 months ago
Multimedia Data Mining for Traffic Video Sequences
In this paper, a multimedia data mining framework for discovering important but previously unknown knowledge such as vehicle identification, traffic flow, and the spatio-temporal ...
Shu-Ching Chen, Mei-Ling Shyu, Chengcui Zhang, Jef...