Kniha Hybrib Classification Model Bikash Sarkar

Hybrib Classification Model

A Data Mining Approach

Autor: Bikash Sarkar
Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: Scholars' Press
Dostupnost: Skladem u dodavatele
Odesíláme za 5-8 dnů
1 768
The book begins with discussion on the basic concept on Data Mining, emphasizing the need of classif...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2014
Stránek
248
EAN
9783639710991
ISBN
3639710991
Enbook ID
07085199
Vydavatel
Hmotnost
367
Rozměry
152 x 229 x 14

Kompletní 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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