£165.16

Springer Mining Very Large Databases with Parallel Processing 9

Name: Springer Mining Very Large Databases with Parallel Processing 9
Brand: Springer
Price: 165.16 GBP
Availability: InStock

AI & Machine Learning

This is the most expensive it has ever been. Walk away.

£165 today · previous high £165 · all-time low £165

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 82 days • 82 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 82 days • 1 price levels

Days at Price

Price Analysis

Most common price: £165 (82 days, 100.0%)

Price range: £165 - £165

Price levels: 1 different prices over 82 days

Description

Master the complexities of large-scale data mining with this specialized text from Springer. Part of the Advances in Database Systems series, this book provides an interdisciplinary look at how machine learning-based data mining, relational databases, and parallel processing work together. As data grows in size and complexity, traditional methods often struggle to keep up. This volume addresses that challenge by teaching you how to use parallel processing techniques to speed up and scale up data mining algorithms. By integrating these three core computer science areas, the text offers a roadmap for managing massive datasets more efficiently. The book is organized into three distinct parts to guide your learning. The first section provides a comprehensive review of intelligent data mining techniques, setting a strong foundation for the advanced concepts that follow. This is an essential resource for anyone studying the intersection of intelligent data mining and high-performance computing.

Key Features

Explores the integration of machine learning-based data mining, relational databases, and parallel processing for large-scale data tasks.

Provides methods to use parallel processing concepts to increase the speed and scalability of data mining algorithms.

Offers an interdisciplinary approach to solving modern problems in large-scale data mining.

Includes a comprehensive review of intelligent data mining techniques in the first part of the text.

Part of the recognized Advances in Database Systems series published by Springer.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 1461375231
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Publication Date: 29 October 2012
Listed Since: 14 July 2013

Barcode

No barcode data available

Springer Mining Very Large Databases with Parallel Processing 9

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Mining Very Large Databases with Parallel Processing: 9 (Advances in Database Systems, 9)

Springer Mining of Data with Complex Structures: 333 Book

Methods and Supporting Technologies for Data Analysis: 225 (Studies in Computational Intelligence, 225)

RapidMiner: Data Mining Use Cases and Business Analytics Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Transparent Data Mining for Big and Small Data: 32 (Studies in Big Data, 32)

High-Performance Big-Data Analytics: Computing Systems and Approaches (Computer Communications and Networks)

Real World Data Mining Applications: 17 (Annals of Information Systems, 17)

Foundations of Computational Intelligence: Volume 4: Bio-Inspired Data Mining: 204 (Studies in Computational Intelligence, 204)

CRC Press Next Generation of Data Mining - Chapman & Hall/CRC

Predictive Analysis on Large Data - Information Science Reference

Intelligent Data Mining: Techniques and Applications: 5 (Studies in Computational Intelligence, 5)

CRC Press Large Scale and Big Data: Processing and Management

Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2014 International Workshops: DANTH, BDM, MobiSocial, BigEC, CloudSD, MSMV-MBI, ... (Lecture Notes in Computer Science, 8643)

Data Mining: Foundations and Practice: 118 (Studies in Computational Intelligence, 118)

Data Mining: Foundations and Practice: 118 (Studies in Computational Intelligence, 118)

Big Data Optimization: Recent Developments and Challenges: 18 (Studies in Big Data, 18)

New Trends in Database and Information Systems: ADBIS 2021 Short Papers, Doctoral Consortium and Workshops: DOING, SIMPDA, MADEISD, MegaData, CAoNS, ... in Computer and Information Science, 1450)

Advances in Knowledge Discovery and Data Mining: 12th Pacific-Asia Conference, PAKDD 2008 Osaka, Japan, May 20-23, 2008 Proceedings: 5012 (Lecture Notes in Computer Science, 5012)

Evolutionary Decision Trees in Large-Scale Data Mining: 59 (Studies in Big Data, 59)

Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part III: 11441 (Lecture Notes in Computer Science, 11441)

CRC Press Data Mining: Technologies, Techniques, and Tools

Data Mining: Technologies, Techniques, Tools, and Trends

Machine Learning and Knowledge Discovery in Databases, Part II: European Conference, ECML PKDD 2010, Athens, Greece, September 5-9, 2011, Proceedings, ... (Lecture Notes in Computer Science, 6912)

Data Mining for Scientific and Engineering Applications: 2 (Massive Computing, 2)