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» Data Mining for Genetics: A Genetic Algorithm Approach
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PAKDD
2004
ACM
131views Data Mining» more  PAKDD 2004»
15 years 10 months ago
A Tree-Based Approach to the Discovery of Diagnostic Biomarkers for Ovarian Cancer
Computational diagnosis of cancer is a classification problem, and it has two special requirements on a learning algorithm: perfect accuracy and small number of features used in t...
Jinyan Li, Kotagiri Ramamohanarao
KDD
2006
ACM
113views Data Mining» more  KDD 2006»
16 years 5 months ago
A new efficient probabilistic model for mining labeled ordered trees
Mining frequent patterns is a general and important issue in data mining. Complex and unstructured (or semi-structured) datasets have appeared in major data mining applications, i...
Kosuke Hashimoto, Kiyoko F. Aoki-Kinoshita, Nobuhi...
EOR
2006
83views more  EOR 2006»
15 years 4 months ago
The Rose-Gurewitz-Fox approach applied for patents classification
We used the so-called deterministic annealing algorithm due to Rose and Gurewitz by the classification of patent documents. A C++ program based on this algorithm was run first on s...
Ioan Bogdan Hodrea, Radu Ioan Bot, Gert Wanka
AICCSA
2008
IEEE
216views Hardware» more  AICCSA 2008»
15 years 5 months ago
Mining fault tolerant frequent patterns using pattern growth approach
Mining fault tolerant (FT) frequent patterns from transactional datasets are very complex than mining all frequent patterns (itemsets), in terms of both search space exploration a...
Shariq Bashir, Zahid Halim, Abdul Rauf Baig
KDD
2008
ACM
138views Data Mining» more  KDD 2008»
16 years 5 months ago
Quantitative evaluation of approximate frequent pattern mining algorithms
Traditional association mining algorithms use a strict definition of support that requires every item in a frequent itemset to occur in each supporting transaction. In real-life d...
Rohit Gupta, Gang Fang, Blayne Field, Michael Stei...