Data Mining With Decision Trees: Theory And Applications (2Nd Edition): 81 (Series In Machine Perception And Artificial Intelligence) - Image 1

£81.86

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

Name: Data Mining With Decision Trees: Theory And Applications (2Nd Edition): 81 (Series In Machine Perception And Artificial Intelligence)
Brand: World Scientific Publishing Company
Price: 81.86 GBP
Availability: InStock

Data Mining

Price data last checked 34 day(s) ago - refreshing...

View at Amazon

We'll watch every seller, every day. One email when your price arrives.

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

£82 today · previous high £82 · all-time low £81

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 57 days · 57 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 57 days • 1 price levels

Days at Price

Price Analysis

Most common price: £82 (57 days, 100.0%)

Price range: £82 - £82

Price levels: 1 different prices over 57 days

Description

Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science of exploring large and complex bodies of data in order to discover useful patterns. Decision tree learning continues to evolve over time. Existing methods are constantly being improved and new methods introduced. This 2nd Edition is dedicated entirely to the field of decision trees in data mining; to cover all aspects of this important technique, as well as improved or new methods and techniques developed after the publication of our first edition. In this new edition, all chapters have been revised and new topics brought in. New topics include Cost-Sensitive Active Learning, Learning with Uncertain and Imbalanced Data, Using Decision Trees beyond Classification Tasks, Privacy Preserving Decision Tree Learning, Lessons Learned from Comparative Studies, and Learning Decision Trees for Big Data. A walk-through guide to existing open-source data mining software is also included in this edition. This book invites readers to explore the many benefits in data mining that decision trees offer: Self-explanatory and easy to follow when compacted Able to handle a variety of input data: nominal, numeric and textual Scales well to big data Able to process datasets that may have errors or missing values High predictive performance for a relatively small computational effort Available in many open source data mining packages over a variety of platforms Useful for various tasks, such as classification, regression, clustering and feature selection

Product Specifications

Brand: World Scientific Publishing Company
Format: hardcover
ASIN: 981459007X
Category: Books > Subjects > Computing & Internet > Databases > Data Storage & Management > Data Mining
Domain: Amazon UK
Release Date: 03 September 2014
Listed Since: 11 January 2014

Barcode

No barcode data available

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

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

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

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

Springer - Dirty Data Processing for Machine Learning Book

Meta-Learning in Decision Tree Induction: 498 (Studies in Computational Intelligence, 498)

Lecture Notes In Data Mining

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

Handbook of Statistics: Data Mining and Data Visualization: 0: Volume 24 (Handbook of Statistics, Volume 24)

Practical Machine Learning for Data Analysis Using Python

C4.5: Programs for Machine Learning (Morgan Kaufmann Series in Machine Learning)

Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

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

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

No Bullshit Math for Data Science: Your Comprehensive, Short and Sharp Guide to the Mathematics of Data Science

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

Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-driven Approach

Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC: The R Series)

Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC The R Series)

Fundamentals of Data Science: Theory and Practice

Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions: 156 (Intelligent Systems Reference Library, 156)

Machine Learning for Business Analytics: Concepts, Techniques, and Applications with Analytic Solver Data Mining

Applied Machine Learning Using mlr3 in R

Big Data Analytics Techniques for Market Intelligence

Mastering Java Machine Learning: A Java developer's guide to implementing machine learning and big data architectures

Physica Data Mining and Computational Intelligence - Book 68

The Hundred-Page Machine Learning Book