Global Trends in Intelligent Computing Research and Development

Author： B.K. Tripathy   D.P. Acharjya  

Publisher： IGI Global‎

Publication year： 2013

E-ISBN: 9781466649378

P-ISBN(Paperback): 9781466649361

Subject： TP18 artificial intelligence theory

Language： ENG

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Description

As the amount of accumulated data across a variety of fields becomes harder to maintain, it is essential for a new generation of computational theories and tools to assist humans in extracting knowledge from this rapidly growing digital data. Global Trends in Intelligent Computing Research and Development brings together recent advances and in depth knowledge in the fields of knowledge representation and computational intelligence. Highlighting the theoretical advances and their applications to real life problems, this book is an essential tool for researchers, lecturers, professors, students, and developers who have seek insight into knowledge representation and real life applications.

Chapter

Title Page

Copyright Page

Advances in Computational Intelligence and Robotics (ACIR) Book Series

Dedication

Editorial Advisory Board and List of Reviewers

Table of Contents

Detailed Table of Contents

Preface

Acknowledgment

Classification and Clustering

Clustering-Based Stability and Seasonality Analysis for Optimal Inventory Prediction

Efficient Color Image Segmentation by a Parallel Optimized (ParaOptiMUSIG) Activation Function

Learning Using Soft Computing Techniques

Chaotic Map Model-Based Interference Employed in Quantum-Inspired Genetic Algorithm to Determine the Optimum Gray Level Image Thresholding

Feature Selection Algorithms for Classification and Clustering in Bioinformatics

Soft Subspace Clustering for Cancer Microarray Data Analysis

Foundations of Knowledge Representation

Multi-Objective Genetic and Fuzzy Approaches in Rule Mining Problem of Knowledge Discovery in Databases

Rough Sets and Approximate Reasoning

Case-Based Reasoning and Some Typical Applications

Hybrid Genetic Algorithm

Knowledge Representation Using Formal Concept Analysis

Foundations of Computational Intelligence

Heterogeneous Data Structure “r-Atrain”

Comparative Analysis of Hybrid Soft Set Methods

Diagram Drawing Using Braille Text

Application of Functional Approach to Lists for Development of Relational Model Databases and Petri Net Analysis

Soft Sets

Information Science and Neural Network

Adaptive and Neural pH Neutralization for Strong Acid-Strong Base System

A Shannon-Like Solution for the Fundamental Equation of Information Science

Compilation of References

About the Contributors

Index

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