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FEGC
2008
104views Biometrics» more  FEGC 2008»
13 years 9 months ago
Mining Implications from Lattices of Closed Trees
We propose a way of extracting high-confidence association rules from datasets consisting of unlabeled trees. The antecedents are obtained through a computation akin to a hypergrap...
José L. Balcázar, Albert Bifet, Anto...
PKDD
2004
Springer
141views Data Mining» more  PKDD 2004»
14 years 1 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
PKDD
2000
Springer
159views Data Mining» more  PKDD 2000»
13 years 11 months ago
An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data
Abstract. This paper proposes a novel approach named AGM to eciently mine the association rules among the frequently appearing substructures in a given graph data set. A graph tran...
Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda
IWANN
2009
Springer
14 years 2 months ago
Data Mining in Complex Diseases Using Evolutionary Computation
Abstract. A new algorithm is presented for finding genotype-phenotype association rules from data related to complex diseases. The algorithm was based on Genetic Algorithms, a tech...
Vanessa Aguiar, Jose A. Seoane, Ana Freire, Cristi...
KDD
1998
ACM
122views Data Mining» more  KDD 1998»
14 years 3 days ago
Memory Placement Techniques for Parallel Association Mining
Many data mining tasks (e.g., Association Rules, Sequential Patterns) use complex pointer-based data structures (e.g., hash trees) that typically suffer from sub-optimal data loca...
Srinivasan Parthasarathy, Mohammed Javeed Zaki, We...