Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications

✍ Scribed by Qamar, Usman; Raza, Muhammad Summair

Publisher: Springer
Year: 2017
Tongue: English
Leaves: 200
Category: Library

No coin nor oath required. For personal study only.

✦ Subjects

Computer science;Numerical analysis;Database management;Data mining;Artificial intelligence;Computer Science;Artificial Intelligence (incl. Robotics);Information Systems Applications (incl. Internet);Database Management;Data Mining and Knowledge Discovery;Numeric Computing

📜 SIMILAR VOLUMES

Understanding and Using Rough Set Based

📁 Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications

✍ Muhammad Summair Raza, Usman Qamar 📂 Library 📅 2019 🏛 Springer Singapore 🌐 English

<p><p>This book provides a comprehensive introduction to rough set-based feature selection. Rough set theory, first proposed by Zdzislaw Pawlak in 1982, continues to evolve. Concerned with the classification and analysis of imprecise or uncertain information and knowledge, it has become a prominent

Understanding and using Rough Set based

📁 Understanding and using Rough Set based Feature Selection

✍ Muhammad Summair Raza, Usman Qamar 📂 Library 📅 2017 🏛 Springer 🌐 English

Rough Sets: Selected Methods and Applica

📁 Rough Sets: Selected Methods and Applications in Management and Engineering

✍ Yiyu Yao, Dominik Ślęzak (auth.), Georg Peters, Pawan Lingras, Dominik Ślęzak, Y 📂 Library 📅 2012 🏛 Springer-Verlag London 🌐 English

<p><p>Rough Set Theory, introduced by Pawlak in the early 1980s, has become an important part of soft computing within the last 25 years. However, much of the focus has been on the theoretical understanding of Rough Sets, with a survey of Rough Sets and their applications within business and industr

Rough Sets: Selected Methods and Applica

📁 Rough Sets: Selected Methods and Applications in Management and Engineering

✍ Yiyu Yao, Dominik Ślęzak (auth.), Georg Peters, Pawan Lingras, Dominik Ślęzak, Y 📂 Library 📅 2012 🏛 Springer-Verlag London 🌐 English

Knowledge-Based Systems Techniques and A

📁 Knowledge-Based Systems Techniques and Applications (4-Volume Set)

✍ Cornelius T. Leondes 📂 Library 📅 2000 🌐 English

The design of knowledge systems is finding myriad applications from corporate databases to general decision support in areas as diverse as engineering, manufacturing and other industrial processes, medicine, business, and economics. In engineering, for example, knowledge bases can be utilized for re

Computational Intelligence and Feature S

📁 Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches

✍ Richard Jensen, Qiang Shen 📂 Library 📅 2008 🏛 Wiley 🌐 English

The rough and fuzzy set approaches presented here open up many new frontiers for continued research and development. Computational Intelligence and Feature Selection provides readers with the background and fundamental ideas behind Feature Selection (FS), with an emphasis on techniques based on rou