Intelligent Agents for Data Mining and Information Retrieval [Electronic resources] نسخه متنی

Intelligent Agents for Data Mining and Information Retrieval - Intelligent Agents for Data Mining and Information Retrieval

Preface - Preface

Chapter I - Potential Cases, Database Types, and Selection Methodologies for Searching Distributed Text Databases

Chapter II - Computational Intelligence Techniques Driven Intelligent Agents for Web Data Mining and Information Retrieval

Chapter III - A Multi-Agent Approach to Collaborative Knowledge Production

Chapter IV - Customized Recommendation Mechanism Based on Web Data Mining and Case-Based Reasoning

Chapter V - Rule-Based Parsing for Web Data Extraction

Chapter VI - Multilingual Web Content Mining—A User-Oriented Approach

Chapter VII - A Textual Warehouse Approach—A Web Data Repository

Chapter VIII - Text Processing by Binary Neural Networks

Chapter IX - Extracting Knowledge from Databases and ANNs with Genetic Programming—Iris Flower Classification Problem

Chapter X - Social Coordination with Architecture for Ubiquitous Agents — CONSORTS

Chapter XI - Agent-Mediated Knowledge Acquisition for User Profiling

Chapter XII - Development of Agent-Based Electronic Catalog Retrieval System

Chapter XIII - Using Dynamically Acquired Background Knowledge for Information Extraction and Intelligent Search

Chapter XIV - A Study on Web Searching—Overlap and Distance of the Search Engine Results

Chapter XV - Taxonomy Based Fuzzy Filtering of Search Results

Chapter XVI - Generating and Adjusting Web Sub-Graph Displays for Web Navigation

Chapter XVII - An Algorithm of Pattern Match Being Fit for Mining Association Rules

Chapter XVIII - Networking E-Learning Hosts Using Mobile Agents

Index - Index

List of Figures - List of Figures

List of Tables - List of Tables

List of Assumptions - List of Assumptions