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Springer Lee Men's Luke Slim Fit Tapered Leg Jeans, Declaration, 29 W/30 L

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£107.43 £92.87 £96.04 £99.22 £102.40 £105.58 £108.75 11 April 2026 18 April 2026 26 April 2026 03 May 2026 11 May 2026

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Description

Explore the growing field of data mining and knowledge discovery (DM&KD) with this specialized text from Springer. As the demand for efficient and effective data methods increases every day, this book provides a deep look into the development of various techniques used in recent decades. The text focuses on the diverse settings used to study main problems in data mining. It specifically addresses the popular formulation of problems using binary attributes. In this setting, states of nature within an application area are described by Boolean vectors defined on specific attributes, allowing for detailed data point analysis. Part of the Springer Optimization and Its Applications series (Volume 43), this book serves as a technical resource for those studying the theory, algorithms, and applications of logic-based methods in data science and management science.

Key Features

Covers essential theory, algorithms, and applications for data mining and knowledge discovery.

Focuses on efficient and effective methods developed to meet modern data demands.

Detailed exploration of binary attribute settings and Boolean vector definitions.

Part of the professional Springer Optimization and Its Applications series.

Addresses various settings for studying main problems in the DM&KD field.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
05 September 2012
Listed Since
13 July 2012

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No barcode data available

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