Data Mining and Knowledge Discovery via Logic-Based Methods

Data Mining and Knowledge Discovery via Logic-Based Methods
Author :
Publisher : Springer Science & Business Media
Total Pages : 371
Release :
ISBN-10 : 9781441916303
ISBN-13 : 144191630X
Rating : 4/5 (30X Downloads)

Book Synopsis Data Mining and Knowledge Discovery via Logic-Based Methods by : Evangelos Triantaphyllou

Download or read book Data Mining and Knowledge Discovery via Logic-Based Methods written by Evangelos Triantaphyllou and published by Springer Science & Business Media. This book was released on 2010-06-08 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: The importance of having ef cient and effective methods for data mining and kn- ledge discovery (DM&KD), to which the present book is devoted, grows every day and numerous such methods have been developed in recent decades. There exists a great variety of different settings for the main problem studied by data mining and knowledge discovery, and it seems that a very popular one is formulated in terms of binary attributes. In this setting, states of nature of the application area under consideration are described by Boolean vectors de ned on some attributes. That is, by data points de ned in the Boolean space of the attributes. It is postulated that there exists a partition of this space into two classes, which should be inferred as patterns on the attributes when only several data points are known, the so-called positive and negative training examples. The main problem in DM&KD is de ned as nding rules for recognizing (cl- sifying) new data points of unknown class, i. e. , deciding which of them are positive and which are negative. In other words, to infer the binary value of one more attribute, called the goal or class attribute. To solve this problem, some methods have been suggested which construct a Boolean function separating the two given sets of positive and negative training data points.


Data Mining and Knowledge Discovery via Logic-Based Methods Related Books

Data Mining and Knowledge Discovery via Logic-Based Methods
Language: en
Pages: 371
Authors: Evangelos Triantaphyllou
Categories: Computers
Type: BOOK - Published: 2010-06-08 - Publisher: Springer Science & Business Media

GET EBOOK

The importance of having ef cient and effective methods for data mining and kn- ledge discovery (DM&KD), to which the present book is devoted, grows every day a
Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques
Language: en
Pages: 784
Authors: Evangelos Triantaphyllou
Categories: Computers
Type: BOOK - Published: 2006-09-10 - Publisher: Springer Science & Business Media

GET EBOOK

This book outlines the core theory and practice of data mining and knowledge discovery (DM & KD) examining theoretical foundations for various methods, and pres
Principles of Data Mining and Knowledge Discovery
Language: en
Pages: 608
Authors: Jan Zytkow
Categories: Computers
Type: BOOK - Published: 1999-09-01 - Publisher: Springer Science & Business Media

GET EBOOK

This book constitutes the refereed proceedings of the Third European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD'99, held in
Data Mining and Knowledge Discovery Handbook
Language: en
Pages: 1378
Authors: Oded Maimon
Categories: Computers
Type: BOOK - Published: 2006-05-28 - Publisher: Springer Science & Business Media

GET EBOOK

Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and
Mathematical Methods for Knowledge Discovery and Data Mining
Language: en
Pages: 392
Authors: Felici, Giovanni
Categories: Computers
Type: BOOK - Published: 2007-10-31 - Publisher: IGI Global

GET EBOOK

"This book focuses on the mathematical models and methods that support most data mining applications and solution techniques, covering such topics as associatio