Contrast Data Mining: Concepts, Algorithms, and Applications by Guozhu Dong,James Bailey

By Guozhu Dong,James Bailey

A Fruitful box for getting to know info Mining technique and for fixing Real-Life Problems
Contrast facts Mining: suggestions, Algorithms, and Applications collects fresh effects from this really expert region of information mining that experience formerly been scattered within the literature, making them extra available to researchers and builders in information mining and different fields. The booklet not just offers ideas and strategies for distinction facts mining, but in addition explores using distinction mining to resolve hard difficulties in numerous medical, scientific, and company domain names.


Learn from genuine Case reviews of distinction Mining Applications
In this quantity, researchers from around the globe focusing on structure engineering, bioinformatics, machine technological know-how, drugs, and structures engineering specialise in the mining and use of distinction styles. They show many beneficial and robust features of numerous distinction mining suggestions and algorithms, together with tree-based buildings, zero-suppressed binary selection diagrams, facts dice representations, and clustering algorithms. in addition they study how distinction mining is utilized in leukemia characterization, discriminative gene move and microarray research, computational toxicology, spatial and snapshot info category, vote casting research, center ailment prediction, crime research, figuring out buyer habit, genetic algorithms, and community defense.

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Contrast Data Mining: Concepts, Algorithms, and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

A Fruitful box for studying info Mining technique and for fixing Real-Life ProblemsContrast facts Mining: recommendations, Algorithms, and purposes collects contemporary effects from this really expert zone of information mining that experience formerly been scattered within the literature, making them extra obtainable to researchers and builders in info mining and different fields.

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