Name: Complete Guide to Multi-Agent Systems: A Multiagent Knowledge Based Framework in web Mining (en Inglés)
Price: 103530.00 CLP
Availability: InStock
Author: Arshad Ali; Mohammed Faizan Farooqui
ISBN: 9786207483808

portada Complete Guide to Multi-Agent Systems: A Multiagent Knowledge Based Framework in web Mining (en Inglés)

Complete Guide to Multi-Agent Systems: A Multiagent Knowledge Based Framework in web Mining (en Inglés)

Formato

Libro Físico

Editorial

Lap Lambert Academic Publishing

Autor

Arshad Ali; Mohammed Faizan Farooqui

Idioma

Inglés

N° páginas

220

Encuadernación

Tapa Blanda

ISBN13

9786207483808

Complete Guide to Multi-Agent Systems: A Multiagent Knowledge Based Framework in web Mining (en Inglés)

Arshad Ali; Mohammed Faizan Farooqui (Autor) · Lap Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "Complete Guide to Multi-Agent Systems: A Multiagent Knowledge Based Framework in web Mining (en Inglés)"

The growing importance of web mining and the increasing complexity of the information available on the web necessitate the development of advanced knowledge representation and management frameworks. In this book, we present an analysis and design of a knowledge-based framework tailored specifically for a multi-agent system operating in the domain of web mining. The proposed framework aims to facilitate efficient extraction, integration, and utilization of knowledge from diverse web sources by employing a distributed and collaborative approach. The analysis phase of this book focuses on understanding the requirements and challenges associated with web mining in a multi-agent system. We examine various web mining techniques and identify the key components and functionalities required for an effective knowledge-based framework. Additionally, we investigate the characteristics of multi-agent systems and their suitability for web mining tasks. Based on the insights gained from the analysis, we proceed to the design phase, where we outline a comprehensive architecture for the knowledge-based framework.