Kniha Hybrib Classification Model Bikash Sarkar

Hybrib Classification Model

A Data Mining Approach

Autor: Bikash Sarkar
Jazyk: Angličtina
Väzba: Brožovaná
Vydavateľ: Scholars' Press
Dostupnosť: Skladom u dodávateľa
Odosielame za 5-8 dní
77.53
The book begins with discussion on the basic concept on Data Mining, emphasizing the need of classif...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2014
Stránok
248
EAN
9783639710991
ISBN
3639710991
Enbook ID
07085199
Vydavateľ
Hmotnosť
367
Rozmery
152 x 229 x 14

Kompletný popis

The book begins with discussion on the basic concept on Data Mining, emphasizing the need of classification model. However, it mainly focuses on designing a family of new hybrid classification systems, each combining C4.5 (a decision tree based rule inductive algorithm) and genetic algorithm. Formally, each such system consists of three phases. The first phase attempts to produce a good population (rule set) from training set. The second phase resolves the interpretability problem of the population and, finally GA optimizes the formatted rule set. The ultimate aim of each system is to achieve higher prediction accuracy over classification problem irrespective to domain, size, dimensionality and class distribution, accepting a good population learned by C4.5 at the beginning. Certainly, the book is not only useful to the researchers but also helpful to the undergraduate and postgraduate students of computer science.

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