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» Graph Mining based on a Data Partitioning Approach
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95
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ICDE
2005
IEEE
132views Database» more  ICDE 2005»
15 years 6 months ago
CLICKS: Mining Subspace Clusters in Categorical Data via K-partite Maximal Cliques
We present a novel algorithm called CLICKS, that finds clusters in categorical datasets based on a search for kpartite maximal cliques. Unlike previous methods, CLICKS mines subs...
Mohammed Javeed Zaki, Markus Peters
EDM
2008
129views Data Mining» more  EDM 2008»
15 years 2 months ago
Mining the Student Assessment Data: Lessons Drawn from a Small Scale Case Study
In this paper we describe an educational data mining (EDM) case study based on the data collected during the online assessment of students who were able to immediately receive tail...
Mykola Pechenizkiy, Toon Calders, Ekaterina Vasily...
119
Voted
IJISTA
2008
95views more  IJISTA 2008»
15 years 21 days ago
Mining manufacturing data using genetic algorithm-based feature set decomposition
Data mining methods can be used for discovering interesting patterns in manufacturing databases. These patterns can be used to improve manufacturing processes. However, data accum...
Lior Rokach
SEMWEB
2010
Springer
14 years 10 months ago
Towards Technology Structure Mining from Scientific Literature
Abstract. This paper introduces the task of Technology-Structure Mining to support Management of Technology. We propose a linguistic based approach for identification of Technology...
Behrang QasemiZadeh
PKDD
2004
Springer
141views Data Mining» more  PKDD 2004»
15 years 6 months ago
Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach
In this paper we propose a novel spatial associative classifier method based on a multi-relational approach that takes spatial relations into account. Classification is driven by s...
Michelangelo Ceci, Annalisa Appice, Donato Malerba