£112.36

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£112 today · previous high £112 · all-time low £108

Springer Soft Computing for Data Mining Applications - Springer

Amazon

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£112.36 £107.58 £108.62 £109.66 £110.71 £111.75 £112.80 28 July 2026 15 August 2026 02 September 2026 20 September 2026 08 October 2026
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Price distribution over 73 days • 2 price levels

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72 days 1 day · current 0 18 36 54 72 £108 £112 Days at Price

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Most common price: £108 (72 days, 98.6%)

Price range: £108 - £112

Price levels: 2 different prices over 73 days

Description
Soft Computing for Data Mining Applications consolidates research into the intersection of data mining and soft computing methodologies, offering comprehensive insights into modern computational intelligence techniques. As data volumes continue to expand exponentially, much of this information remains implicitly or explicitly imprecise, making robust processing methods essential. This volume explores database discovery techniques designed to uncover noteworthy, unrecognized associations within existing datasets, revealing valuable information that traditional approaches might overlook. Part of Springer's Studies in Computational Intelligence series (volume 190), this monograph addresses the fundamental challenge of extracting meaningful patterns from large, complex datasets using advanced soft computing approaches. Ideal for researchers, practitioners, and students in AI, machine learning, and computational intelligence seeking to understand how soft computing methodologies enhance data mining applications.

Key Features

Springer's Studies in Computational Intelligence series volume 190 focuses on integrating soft computing methodologies with data mining research and applications.

The monograph explores database discovery techniques for identifying unrecognized associations and noteworthy patterns within large, complex datasets.

Covers soft computing approaches designed to handle implicitly and explicitly imprecise data common in modern databases and data mining projects.

Provides consolidated research insights into how alternate analytical contexts reveal additional valuable information from existing data sources.

Product Specifications
Brand
Springer
Format
hardcover
ASIN
3642001920
Category
Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain
Amazon UK
Release Date
11 March 2009
Listed Since
02 January 2009

Barcode

No barcode data available

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