£108.01

Springer : Towards Advanced Data Analysis (Soft Computing 285)

Name: Springer: Towards Advanced Data Analysis (Soft Computing 285)
Brand: Springer
Price: 108.01 GBP
Availability: InStock

AI & Machine Learning

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

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

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 88 days · 88 data points

Historical

Generating forecast…

Price Distribution

Price distribution over 88 days • 1 price levels

Days at Price

Price Analysis

Most common price: £108 (88 days, 100.0%)

Price range: £108 - £108

Price levels: 1 different prices over 88 days

Description

Improve your understanding of complex data processing with Towards Advanced Data Analysis by Combining Soft Computing and Statistics. This volume from the Studies in Fuzziness and Soft Computing series (285) provides a unique way to merge the speed of soft computing with the precision of statistical methods. By combining these two fields, the text helps enhance the robustness and generalizability of data analysis while maintaining the flexibility needed to solve real-world problems. This book is designed for those seeking a clear and readable introduction to this emerging viewpoint. The content maintains high mathematical rigor and includes real-world examples or experimental data to ensure the theories are applicable to practical scenarios. It serves as a valuable resource for researchers and professionals in AI, machine learning, and computer science who need to navigate complex datasets with both efficiency and accuracy.

Key Features

Combines soft computing adaptability with statistical rigor to improve data analysis robustness and generalizability.

Provides high mathematical rigor suitable for advanced studies in computer science and machine learning.

Includes real-world examples and experimental data to demonstrate practical applications of the theories.

Offers a clear and readable text that serves as an introduction to merging soft computing and statistics.

Part of the Studies in Fuzziness and Soft Computing series, volume 285, for specialized academic study.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3642443745
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Publication Date: 20 September 2014
Listed Since: 23 September 2014

Barcode

No barcode data available

Springer : Towards Advanced Data Analysis (Soft Computing 285)

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

Synergies of Soft Computing and Statistics for Intelligent Data Analysis: 190 (Advances in Intelligent Systems and Computing, 190)

Springer Towards Advanced Data Analysis Soft Computing 285

Frontiers in Statistical Quality Control 11

Past, Present, and Future of Statistical Science

R Programming: Statistical Data Analysis in Research

The Role of Statistics in Business and Industry (Wiley Series in Probability and Statistics)

Advanced Methods in Statistics, Data Science and Related Applications: SIS 2022, Caserta, Italy, June 22–24: 467 (Springer Proceedings in Mathematics & Statistics, 467)

Statistics -- Volume 3: Categorical and Time Dependent Data Analysis (Mathematics Research Developments)

Building Your Career as a Statistician: A Practical Guide to Longevity, Happiness, and Accomplishment

Advances in the Theory and Practice of Statistics: A Volume in Honor of Samuel Kotz (Wiley Series in Probability and Statistics. Applied Probability and statistIcs)

Statistical Computing in C++ and R (Chapman & Hall/CRC: The R Series)

Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery

Economic Systems Analysis: Statistical Indicators: 158 (Studies in Systems, Decision and Control, 158)

Deep-Learning-Assisted Statistical Methods with Examples in R (Chapman & Hall/CRC Data Science Series)

Analytical Methods in Statistics: AMISTAT, Liberec, Czech Republic, September 2019: 329 (Springer Proceedings in Mathematics & Statistics, 329)

Statistical Theory: A Concise Introduction (Chapman & Hall/CRC Texts in Statistical Science)

Introduction to Probabilistic and Statistical Methods with Examples in R: 176 (Intelligent Systems Reference Library, 176)

Handbook of Computational Social Science - Vol 1 & Vol 2: 1-2 (European Association of Methodology Series)

Data Science in Applications: 1084 (Studies in Computational Intelligence, 1084)

Compstat: Proceedings in Computational Statistics 14th Symposium held in Utrecht, The Netherlands, 2000

SOME RECENT ADVANCES IN MATHEMATICS AND STATISTICS - PROCEEDINGS OF STATISTICS 2011 CANADA/IMST 2011-FIM XX

Computational and Methodological Statistics and Biostatistics: Contemporary Essays in Advancement (Emerging Topics in Statistics and Biostatistics)

Computational and Methodological Statistics and Biostatistics: Contemporary Essays in Advancement (Emerging Topics in Statistics and Biostatistics)

Statistical Methods in e-Commerce Research: 33 (Statistics in Practice)