Understanding and Using Rough Set Based Feature Selection Concepts Techniques and Applications is popular PDF and ePub book, written by Muhammad Summair Raza in 2017-06-28, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Understanding and Using Rough Set Based Feature Selection Concepts Techniques and Applications can be Read Online from any device for your convenience.

Understanding and Using Rough Set Based Feature Selection Concepts Techniques and Applications Book PDF Summary

The book will provide: 1) In depth explanation of rough set theory along with examples of the concepts. 2) Detailed discussion on idea of feature selection. 3) Details of various representative and state of the art feature selection techniques along with algorithmic explanations. 4) Critical review of state of the art rough set based feature selection methods covering strength and weaknesses of each. 5) In depth investigation of various application areas using rough set based feature selection. 6) Complete Library of Rough Set APIs along with complexity analysis and detailed manual of using APIs 7) Program files of various representative Feature Selection algorithms along with explanation of each. The book will be a complete and self-sufficient source both for primary and secondary audience. Starting from basic concepts to state-of-the art implementation, it will be a constant source of help both for practitioners and researchers. Book will provide in-depth explanation of concepts supplemented with working examples to help in practical implementation. As far as practical implementation is concerned, the researcher/practitioner can fully concentrate on his/her own work without any concern towards implementation of basic RST functionality. Providing complexity analysis along with full working programs will further simplify analysis and comparison of algorithms.

Detail Book of Understanding and Using Rough Set Based Feature Selection Concepts Techniques and Applications PDF

Understanding and Using Rough Set Based Feature Selection  Concepts  Techniques and Applications
  • Author : Muhammad Summair Raza
  • Release : 28 June 2017
  • Publisher : Springer
  • ISBN : 9789811049651
  • Genre : Computers
  • Total Page : 200 pages
  • Language : English
  • PDF File Size : 11,6 Mb

If you're still pondering over how to secure a PDF or EPUB version of the book Understanding and Using Rough Set Based Feature Selection Concepts Techniques and Applications by Muhammad Summair Raza, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.

Get Book

Big Data Preprocessing

Big Data Preprocessing Author : Julián Luengo,Diego García-Gil,Sergio Ramírez-Gallego,Salvador García,Francisco Herrera
Publisher : Springer Nature
File Size : 40,9 Mb
Get Book
This book offers a comprehensible overview of Big Data Preprocessing, which includes a formal descri...

Rough Set and Knowledge Technology

Rough Set and Knowledge Technology Author : JingTao Yao,Sheela Ramanna,Guoyin Wang,Zbigniew Suraj
Publisher : Springer
File Size : 39,7 Mb
Get Book
This book constitutes the refereed proceedings of the 6th International Conference on Rough Sets and...

Rough Set Methods and Applications

Rough Set Methods and Applications Author : Lech Polkowski,Shusaku Tsumoto,Tsau Y. Lin
Publisher : Physica
File Size : 22,5 Mb
Get Book
Rough set approach to reasoning under uncertainty is based on inducing knowledge representation from...