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» A Comparison of Two Approaches to Data Mining from Imbalance...
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CIKM
2004
Springer
14 years 2 months ago
Scalable sequential pattern mining for biological sequences
Biosequences typically have a small alphabet, a long length, and patterns containing gaps (i.e., “don’t care”) of arbitrary size. Mining frequent patterns in such sequences ...
Ke Wang, Yabo Xu, Jeffrey Xu Yu
ROCAI
2004
Springer
14 years 2 months ago
Learning Interestingness Measures in Terminology Extraction. A ROC-based approach
Abstract. In the field of Text Mining, a key phase in data preparation is concerned with the extraction of terms, i.e. collocation of words attached to specific concepts (e.g. Ph...
Mathieu Roche, Jérôme Azé, Yve...
BMCBI
2008
170views more  BMCBI 2008»
13 years 8 months ago
Evaluation of GO-based functional similarity measures using S. cerevisiae protein interaction and expression profile data
Background: Researchers interested in analysing the expression patterns of functionally related genes usually hope to improve the accuracy of their results beyond the boundaries o...
Tao Xu, LinFang Du, Yan Zhou
IJSEKE
2002
84views more  IJSEKE 2002»
13 years 8 months ago
HEAT: Hierarchical Entropy Approach for Texture Indexing in Image Databases
This paper illustrates a method, called heat, for image indexing based on texture information. The texture's partitioning element is first put into 1-D form and then its Hier...
Riccardo Distasi, Michele Nappi, Sergio Vitulano
ITRE
2005
IEEE
14 years 2 months ago
Structure learning of Bayesian networks using a semantic genetic algorithm-based approach
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
Sachin Shetty, Min Song