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Information Science Reference Predictive Analysis on Large Data - Information Science Reference

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Description

Data analysis serves as the foundation for various research modes, from scientific discoveries to governmental findings. As machine intelligence and neural networks evolve, the methods used for extracting and modeling data have changed significantly. These shifts impact how societies organize, deliver services, and interact with one another. Predictive Analysis on Large Data for Actionable Knowledge: Emerging Research and Opportunities provides essential information on extraction and prediction patterns within data mining. Part of the Advances in Data Mining and Database Management series, this book explores how new technologies alter the way we approach large datasets to gain meaningful insights. It is a valuable resource for those studying the intersection of machine intelligence and data modeling in a rapidly changing digital landscape.

Key Features

Explores emerging research regarding extraction and prediction patterns in data mining.

Covers the impact of machine intelligence and neural networks on data modeling approaches.

Provides insights into how data analysis affects societal organization and service delivery.

Part of the Advances in Data Mining and Database Management research series.

Examines the changing landscape of extracting actionable knowledge from large datasets.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
26 January 2018
Listed Since
13 October 2017

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