Yew-Soon Ong

Jonathan H. Chan

Sung-Bae Cho

First International Conference, CSBio 2010, Bangkok, Thailand, November 3-5, 2010, Proceedings

Computational Systems-Biology and Bioinformatics

Hujun Yin

Peter Tino

Ke Tang

Paulo Novais

David Camacho

Antonio J. Tallón-Ballesteros

Richard Allmendinger

Susana Nascimento

This book constitutes the refereed proceedings of the 22nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2021, which took place during November 25-27, 2021. The conference was originally planned to take place in Manchester, UK, but was held virtually due to the COVID-19 pandemic. The 61 full papers included in this book were carefully reviewed and selected from 85 submissions. They deal with emerging and challenging topics in intelligent data analytics and associated machine learning paradigms and systems. Special sessions were held on clustering for interpretable machine learning; machine learning towards smarter multimodal systems; and computational intelligence for computer vision and image processing.

22nd International Conference, IDEAL 2021, Manchester, UK, November 25–27, 2021, Proceedings

Intelligent Data Engineering and Automated Learning – IDEAL 2021

Ajith Abraham

Vaclav Snasel

Manuel Grana

Michal Wozniak

Emilio S. Corchado Rodriguez

The two LNAI volumes 7208 and 7209 constitute the proceedings of the 7th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2012, held in Salamanca, Spain, in March 2012. The 118 papers published in these proceedings were carefully reviewed and selected from 293 submissions. They are organized in topical sessions on agents and multi agents systems, HAIS applications, cluster analysis, data mining and knowledge discovery, evolutionary computation, learning algorithms, systems, man, and cybernetics by HAIS workshop, methods of classifier fusion, HAIS for computer security (HAISFCS), data mining: data preparation and analysis, hybrid artificial intelligence systems in management of production systems, hybrid artificial intelligent systems for ordinal regression, hybrid metaheuristics for combinatorial optimization and modelling complex systems, hybrid computational intelligence and lattice computing for image and signal processing and nonstationary models of pattern recognition and classifier combinations.

7th International Conference, HAIS 2012, Salamanca, Spain, March 28-30th, 2012, Proceedings, Part II

Hybrid Artificial Intelligent Systems

Satchidananda Dehuri

Knowledge Mining Using Intelligent Agents explores the concept of knowledge discovery processes and enhances decision-making capability through the use of intelligent agents like ants, termites and honey bees. In order to provide readers with an integrated set of concepts and techniques for understanding knowledge discovery and its practical utility, this book blends two distinct disciplines — data mining and knowledge discovery process, and intelligent agents-based computing (swarm intelligence and computational intelligence). For the more advanced reader, researchers, and decision/policy-makers are given an insight into emerging technologies and their possible hybridization, which can be used for activities like dredging, capturing, distributions and the utilization of knowledge in their domain of interest (i.e. business, policy-making, etc.). By studying the behavior of swarm intelligence, this book aims to integrate the computational intelligence paradigm and intelligent distributed agents architecture to optimize various engineering problems and efficiently represent knowledge from the large gamut of data. Contents: Theoretical Foundations of Knowledge Mining and Intelligent Agent (S Dehuri & S-B Cho)The Use of Evolutionary Computation in Knowledge Discovery: The Example of Intrusion Detection Systems (S X Wu & W Banzhaf)Evolution of Neural Network and Polynomial Network (B B Misra et al.)Design of Alloy Steels Using Multi-Objective Optimization (M Chen et a.)An Extended Bayesian/HAPSO Intelligent Method in Intrusion Detection System (S Dehuri & S Tripathy)Mining Knowledge from Network Intrusion Data Using Data Mining Techniques (M Panda & M R Patra)Particle Swarm Optimization for Multi-Objective Optimal Operational Planning of Energy Plants (Y Fukuyama et al.)Soft Computing for Feature Selection (A K Jagadev et al.)Optimized Polynomial Fuzzy Swarm Net for Classification (B B Misra et al.)Software Testing Using Genetic Algorithms (M Ray & D P Mohapatra) Readership: Researchers and professionals in the knowledge discovery industry. Keywords:Intelligent Agent;Knowledge Mining;Data Mining;Knowledge Discovery;Computational Intelligence;Swarm Intelligence;Evolutionary ComputationKey Features:Addresses the various issues/problems of knowledge discovery, data mining tasks and the various design challenges by the use of different intelligent agents technologiesCovers new and unique intelligent agents techniques (computational intelligence + swarm intelligence) for knowledge discovery in databases and data mining to solve the tasks of different phases of knowledge discoveryHighlights data pre-processing for knowledge mining and post-processing of knowledge that is ignored by most of the authorsConsists of a collection of well-organized chapters written by prospective authors who are actively engaged in this active area of research

Knowledge Mining Using Intelligent Agents

Sung-Bae Cho

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