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The monograph gives an insight into the research in the ?elds of Data Mining in combination with Soft Computing methodologies. In these days, the data continues ...
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The monograph gives an insight into the research in the ?elds of Data Mining in combination with Soft Computing methodologies. In these days, the data continues ...
Abstract · 1. Data cleaning: which removes noise, inconsistency from data. · 2. Data Integration: which combines multiple and heterogeneous data sources to · 3.
Soft Computing for Data Mining Applications

Soft Computing for Data Mining Applications

Book by K. G. Srinivasa, K. R. Venugopal, and L. M. Patnaik
The authors have consolidated their research work in this volume titled Soft Computing for Data Mining Applications. The monograph gives an insight into the research in the ?elds of Data Mining in combination with Soft Computing methodologies. In... Google Books
Originally published: February 24, 2009
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The authors have consolidated their research work in this volume titled Soft Computing for Data Mining Applications. The monograph gives an insight into the ...
Soft Computing for Data Mining. Applications. ^Spriringer. Page 2. Contents. 1. Introduction. 1. 1.1. Data Mining. 4. 1.1.1. Association Rule Mining (ARM). 4.
Soft Computing for Data Mining Applications. By K. R. Venugopal, K.G. Srinivasa, L. M. Patnaik. About this book · Get Textbooks on Google Play.
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Author · L.M. Patnaik. Author. Soft Computing for Data Mining Applications. ISBN-13: 978-3642001949, ISBN-10: 3642001947. Soft Computing for Data Mining ...
Soft computing methodologies (involving fuzzy sets, neural networks, genetic algorithms, and rough sets) are most widely applied in the data mining step of the ...
This is a review of the role of various soft-computing tools for different data mining tasks. Keywords— fuzzy logic, neural networks, genetic algorithms, rough ...
The monograph gives an insight into the research in the fields of Data Mining in combination with Soft Computing methodologies. In these days, the data ...