Data Mining

By Ian H. Witten, Eibe Frank & Mark A. Hall


Data Mining - Ian H. Witten, Eibe Frank & Mark A. Hall

Primary: Data Mining.pdf - 34,876 KB/Sec

Mirror [#1]: Data Mining.pdf - 32,909 KB/Sec

Mirror [#2]: Data Mining.pdf - 27,864 KB/Sec

More by Ian H. Witten, Eibe Frank & Mark A. Hall : Data Mining


Related Books

Like the popular second edition, Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. Inside, you'll learn all you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining'including both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. Complementing the book is a fully functional platform-independent open source Weka software for machine learning, available for free download. The book is a major revision of the second edition that appeared in 2005. While the basic core remains the same, it has been updated to reflect the changes that have taken place over the last four or five years. The highlights for the updated new edition include completely revised technique sections; new chapter on Data Transformations, new chapter on Ensemble Learning, new chapter on Massive Data Sets, a new ?book release? version of the popular Weka machine learning open source software (developed by the authors and specific to the Third Edition); new material on ?multi-instance learning?; new information on ranking the classification, plus comprehensive updates and modernization throughout. All in all, approximately 100 pages of new material.* Thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques* Algorithmic methods at the heart of successful data mining'including tired and true methods as well as leading edge methods* Performance improvement techniques that work by transforming the input or output* Downloadable Weka, a collection of machine learning algorithms for data mining tasks, including tools for data pre-processing, classification, regression, clustering, association rules, and visualization'in an updated, interactive interface.


Search
Recent Posts
MySQL 5 Essentials
SQL All-in-One For Dummies
Data Science and Analytics with Python
Take Control of Getting Started with DEVONthink 2, Third Edition
DAX Patterns 2015
Database MS Access 2016 Level 1
Statistics for Big Data For Dummies
Blockchain For Dummies
Professional Microsoft SQL Server 2014 Integration Services
Delivering Business Intelligence with Microsoft SQL Server 2016, Fourth Edition
The Power of People
Access 2010 All-in-One For Dummies
Microsoft Office Access 2007 All-in-One Desk Reference For Dummies
Microsoft Access 2010 In Depth
Access 2013 All-in-One For Dummies
FileMaker Pro Design and Scripting For Dummies
FileMaker 12 In Depth, 2/e
Oracle 11g For Dummies
FileMaker 12 Developers Reference: Functions, Scripts, Commands, and Grammars
SQL in 30 Pages
Access 2010 Bible
Microsoft SQL Server 2008 All-in-One Desk Reference For Dummies
The Data Warehouse Toolkit
Learning SQL
Crystal Reports 10 For Dummies
The Definitive Guide to DAX
Teradata 14 Certification Study Guide - Basics
Sams Teach Yourself Microsoft SQL Server T-SQL in 10 Minutes
FileMaker & You
Using Microsoft Access 2010, Enhanced Edition
The Data Warehouse Lifecycle Toolkit
Developing Analytic Talent
Crystal Reports 2008 For Dummies
High Performance MySQL
Microsoft® Access® 2013 Step by Step
Access 2013 For Dummies
Learning MySQL
R for Everyone
Beginning Database Design Solutions
Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing
Oracle SQL By Example, 4/e
Databases Demystified, 2nd Edition
Blockchain Basics
The Data Warehouse ETL Toolkit
The Microsoft Data Warehouse Toolkit
Fundamentals of Deep Learning
Database MS Access 2016 Level 2
SQL Queries for Mere Mortals
Microsoft Office Access 2007 Forms, Reports, and Queries
Teach Yourself VISUALLY Access 2013
Data Mining
Marketing Analytics
Beginning Microsoft SQL Server 2012 Programming
The Data Model Resource Book
Confident Data Skills
FileMaker Pro 13 Absolute Beginner's Guide
Access 2013 Absolute Beginner's Guide
Practical PostgreSQL
Microsoft Access 2013 Plain & Simple
SysML Distilled
Data Warehousing For Dummies
Data Mining For Dummies
Microsoft SQL Server 2016: A Beginner's Guide, Sixth Edition
Microsoft® SQL Server® 2012 T-SQL Fundamentals
Mastering PostgreSQL 10
MASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E
RabbitMQ in Action
SQL QuickStart Guide
아마존 웹 서비스를 다루는 기술
Database Design for Mere Mortals®: A Hands-On Guide to Relational Database Design, 2/e
Crystal Reports XI Official Guide
Super Charge Power BI
Professional Microsoft SQL Server 2014 Administration
Microsoft® Access® 2013 Inside Out
Professional Microsoft SQL Server 2012 Integration Services
Big Data MBA
Mastering Blockchain
가장 빨리 만나는 Docker
Professional Microsoft SQL Server 2012 Reporting Services
Applied Predictive Analytics
Microsoft® Access® 2010 VBA Programming Inside Out
SharePoint 2010 Issue Tracking System Design, Create, and Manage
Oracle Database 11g & MySQL 5.6 Developer Handbook
Big Data, Data Mining, and Machine Learning
Database Design and Relational Theory
Building Blockchain Projects
Tableau 9: The Official Guide (Enhanced Edition)
T-SQL Querying
Microsoft SQL Server 2014 Business Intelligence Development Beginner’s Guide
Rapid Development
Beginning Database Design
Oracle Database 11g A Beginner's Guide
R for Everyone: Advanced Analytics and Graphics, 2/e
Hacking Web Intelligence
Microsoft SQL Server 2012 Unleashed
Scientific Database And Programming Examples Using Php,mysql,xml,matlab,python,perl
Web Publishing with PHP and FileMaker 9
Data Mining and Statistics for Decision Making
Oracle PL/SQL in 10 Minutes, Sams Teach Yourself
Modeling Techniques in Predictive Analytics with Python and R