عنوان

Data mining :

(Number (ISBN

0128042915

(Number (ISBN

9780128042915

Number

b387614

Title Proper

Data mining :

General Material Designation

[Book]

Other Title Information

practical machine learning tools and techniques

First Statement of Responsibility

Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher J. Pal.

Edition Statement

4th revised edition

Place of Publication, Distribution, etc.

Cambridge, MA

Name of Publisher, Distributor, etc.

Morgan Kaufmann Publisher,

Date of Publication, Distribution, etc.

[2016] ©2017.

Text of Note

Part I : Introduction to data mining. What's it all about? -- Input : concepts, instances, and attributes -- Output : knowledge representation -- Algorithms : the basic methods -- Credibility : evaluating what's been learned -- Part II : More advanced machine learning schemes. Trees and rules -- Extending instance-based and linear models -- Data transformations -- Probabilistic methods -- Deep learning -- Beyond supervised and unsupervised learning -- Ensemble learning -- Moving on : applications and beyond.

Text of Note

Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing"Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing"Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing

I H Witten

Christopher J Pal

Eibe Frank

Mark A Hall

Electronic name

[Book]

Y