Data Classification and Incremental Clustering in Data Mining and Machine Learning (EAI/Springer Innovations in Communication and Computing) - Image 1

£61.63

Springer Data Classification and Incremental Clustering in Data Mining and Machine Learning (EAI/Springer Innovations in Communication and Computing)

Name: Data Classification and Incremental Clustering in Data Mining and Machine Learning (EAI/Springer Innovations in Communication and Computing)
Brand: Springer
Price: 61.63 GBP
Availability: InStock

AI & Machine Learning

This is the usual price. Wait for it to drop, or tell us your number.

£62 today · usual range £0–£0 · best ever £29

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 634 days • 634 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 634 days • 6 price levels

Days at Price

Current Price

Price Analysis

Most common price: £61 (230 days, 36.3%)

Price range: £29 - £70

Price levels: 6 different prices over 634 days

Description

This book is a comprehensive, hands-on guide to the basics of data mining and machine learning with a special emphasis on supervised and unsupervised learning methods. The book lays stress on the new ways of thinking needed to master in machine learning based on the Python, R, and Java programming platforms. This book first provides an understanding of data mining, machine learning and their applications, giving special attention to classification and clustering techniques. The authors offer a discussion on data mining and machine learning techniques with case studies and examples. The book also describes the hands-on coding examples of some well-known supervised and unsupervised learning techniques using three different and popular coding platforms: R, Python, and Java. This book explains some of the most popular classification techniques (K-NN, Naïve Bayes, Decision tree, Random forest, Support vector machine etc,) along with the basic description of artificial neural network and deep neural network. The book is useful for professionals, students studying data mining and machine learning, and researchers in supervised and unsupervised learning techniques.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3030930904
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 12 May 2023
Listed Since: 17 April 2023

Barcode

No barcode data available

Springer Data Classification and Incremental Clustering in Data Mining and Machine Learning (EAI/Springer Innovations in Communication and Computing)

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Lecture Notes In Data Mining

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

Data Science: Concepts and Practice

Data Mining and Statistics for Decision Making: 716 (Wiley Series in Computational Statistics)

Data Classification: Algorithms and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Advanced Data Mining Techniques

Principles and Theories of Data Mining With RapidMiner

Encyclopedia of Machine Learning and Data Mining

Lecture Notes in Computational Intelligence and Decision Making: Proceedings of the XV International Scientific Conference “Intellectual Systems of ... in Intelligent Systems and Computing, 1020)

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, ... (Lecture Notes in Computer Science, 9851)

Data Mining With Decision Trees: Theory And Applications (2Nd Edition): 81 (Series In Machine Perception And Artificial Intelligence)

Supervised and Unsupervised Learning for Data Science

Machine Learning Methods

Textbook of Machine Learning and Data Mining: with Bioinformatics Applications

Design and Implementation of Data Mining Tools

Data Mining: A Tutorial-Based Primer, Second Edition (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Data Analysis, Classification, and Related Methods (Studies in Classification, Data Analysis, and Knowledge Organization)

Design and Implementation of Data Mining Tools

Data Mining and Machine Learning: Fundamental Concepts and Algorithms

Data Mining With Decision Trees: Theory And Applications (Series In Machine Perception & Artifical Intelligence): 69

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

Data Science Using Python and R (Wiley Series on Methods and Applications in Data Mining)

The Top Ten Algorithms in Data Mining (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Predictive Analytics and Data Mining: Concepts and Practice with RapidMiner