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Engineering Science Reference Advanced Metaheuristic Methods in Big Data Retrieval and Analytics

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Description

Advanced Metaheuristic Methods in Big Data Retrieval and Analytics addresses the growing challenge of managing and retrieving relevant information from vast, unstructured data repositories. As data volumes continue to expand across the web and document repositories, traditional deterministic methods struggle to keep pace with the complexity and scale of modern information systems. This comprehensive resource examines metaheuristic techniques as a powerful alternative approach for solving complex problems that conventional methods cannot effectively handle. The book explores how information retrieval and biomimicry principles can be combined to develop innovative solutions for big data applications. Ideal for professionals and students seeking to understand advanced methods for improving data retrieval efficiency and analytics performance in large-scale environments.

Key Features

Advanced Metaheuristic Methods in Big Data Retrieval and Analytics explores alternative solutions beyond deterministic approaches for handling complex data challenges.

This resource examines how biomimicry principles combine with information retrieval techniques to address big data application problems.

The book is designed for beginners and those new to computing databases, making advanced concepts accessible to learners entering the field.

Engineering Science Reference publishes this comprehensive guide to help professionals manage unstructured data more effectively.

Metaheuristic methods presented offer practical alternatives for improving data analytics performance in large-scale information systems.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
02 November 2018
Listed Since
24 February 2020

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