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:
General
Imprint: |
World Scientific Publishing Co Pte Ltd
|
Country of origin: |
Singapore |
Series: |
Series In Machine Perception And Artificial Intelligence, 81 |
Release date: |
October 2014 |
First published: |
2015 |
Authors: |
Oded Z Maimon
• Lior Rokach
|
Dimensions: |
160 x 234 x 25mm (L x W x T) |
Format: |
Hardcover
|
Pages: |
328 |
Edition: |
2nd Revised edition |
ISBN-13: |
978-981-4590-07-5 |
Categories: |
Books >
Computing & IT >
Applications of computing >
Databases >
Data mining
|
LSN: |
981-4590-07-X |
Barcode: |
9789814590075 |
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!