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Nova Parallel Data Mining Algorithms - Mathematics Research

Name: Nova Parallel Data Mining Algorithms - Mathematics Research
Brand: Nova

Data Mining

Out of stock for 23 days. The last 3 returns each lasted under a day — get on the list.

Out of stock 23 days · last price £204 · usually back within 14 days

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Description

Parallel Data Mining Algorithms is a specialized academic text from the Mathematics Research Developments series. Published by Nova Science Publishers, Inc., this book provides a focused look at computational methods within the field of data mining. This resource is designed for readers interested in the intersection of mathematics and computing. It covers topics relevant to data storage and management, specifically focusing on how parallel processing can be applied to data mining tasks. As data sets grow in size and complexity, understanding the mathematical foundations of parallel algorithms becomes a necessary part of modern computing studies. Whether used for academic research or professional development in database management, this volume offers a structured approach to learning about advanced mathematical developments in the field. It serves as a technical reference for those working in computing, internet technologies, and complex data structures.

Key Features

Part of the Mathematics Research Developments series for academic study.

Focuses on parallel data mining algorithms for advanced computing research.

Published by Nova Science Publishers, Inc. for technical accuracy.

Covers essential concepts in data storage and management.

Relevant to the fields of computing, internet technology, and databases.

Product Specifications

Brand: Nova
Format: hardcover
ASIN: B0GHYF1ZBN
Category: Books > Subjects > Computing & Internet > Databases > Data Storage & Management > Data Mining
Domain: Amazon UK
Release Date: 17 April 2026
Listed Since: 21 January 2026

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Nova Parallel Data Mining Algorithms - Mathematics Research

Out of stock for 23 days. The last 3 returns each lasted under a day — get on the list.

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