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Advanced Metaheuristic Methods in Big Data Retrieval and Analytics
Contributor(s): Bouarara, Hadj Ahmed (Editor), Hamou, Reda Mohamed (Editor), Rahmani, Amine (Editor)

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 ISBN: 1522573380     ISBN-13: 9781522573388
Publisher: Engineering Science Reference
OUR PRICE: $194.75  

Binding Type: Hardcover - See All Available Formats & Editions
Published: November 2018
Qty:
Additional Information
BISAC Categories:
- Computers | Databases - Data Mining
- Computers | Databases - General
Dewey: 005.7
LCCN: 2018024574
Physical Information: 0.81" H x 7" W x 10" L (1.81 lbs) 270 pages
Features: Bibliography, Index
 
Descriptions, Reviews, Etc.
Publisher Description:
The amount of data shared and stored on the web and other document repositories is steadily on the rise. Unfortunately, this growth increases inefficiencies and difficulties when trying to find the most relevant and up-to-date information due to unstructured data. Advanced Metaheuristic Methods in Big Data Retrieval and Analytics examines metaheuristic techniques as an important alternative model for solving complex problems that are not treatable by deterministic methods. Recent studies suggest that IR and biomimicry can be used together for several application problems in big data and internet of things, especially when conventional methods would be too expensive or difficult to implement. Featuring coverage on a broad range of topics such as ontology, plagiarism detection, and machine learning, this book is ideally designed for engineers, graduate students, IT professionals, and academicians seeking an overview of new trends in information retrieval in big data.
 
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