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£223 today · previous high £223 · all-time low £126

Springer Business and Consumer Analytics: New Ideas Handbook

Amazon

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Description

This two-volume handbook from Springer provides a comprehensive collection of novel methodologies designed for data-driven computational social sciences. The text focuses on business and consumer-oriented applications, offering practical insights through illustrative examples and diverse research areas. Readers can explore advanced topics including machine learning, recommender systems, and network analysis. The content covers essential methodologies such as clustering, meta-analytics, memetic algorithms, and parallel pattern mining. By applying these data mining techniques to specific sectors like market segmentation, travel, fashion, or entertainment analytics, this collection serves as a vital resource for professionals and students working in information systems and data science.

Key Features

This Springer two-volume handbook presents novel methodologies applied to data-driven computational social sciences.

The content focuses on business and consumer-oriented applications to provide practical industry relevance.

Explore diverse technical sections including machine learning, clustering, and network analysis methodologies.

Learn about specific data mining applications in sectors like market segmentation, travel, fashion, and entertainment.

The collection includes advanced research topics such as recommender systems, meta-analytics, and memetic algorithms.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
13 June 2019
Listed Since
20 November 2018

Barcode

No barcode data available

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