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Data Mining and Knowledge Discovery via Logic-Based Methods - Theory, Algorithms, and Applications (Paperback, 2010 ed.) Loot Price: R4,254
Discovery Miles 42 540
Data Mining and Knowledge Discovery via Logic-Based Methods - Theory, Algorithms, and Applications (Paperback, 2010 ed.):...

Data Mining and Knowledge Discovery via Logic-Based Methods - Theory, Algorithms, and Applications (Paperback, 2010 ed.)

Evangelos Triantaphyllou

Series: Springer Optimization and Its Applications, 43

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Loot Price R4,254 Discovery Miles 42 540 | Repayment Terms: R399 pm x 12*

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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.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Springer Optimization and Its Applications, 43
Release date: September 2012
First published: 2010
Authors: Evangelos Triantaphyllou
Dimensions: 235 x 155 x 23mm (L x W x T)
Format: Paperback
Pages: 350
Edition: 2010 ed.
ISBN-13: 978-1-4614-2613-4
Categories: Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Computing & IT > Computer programming > General
Books > Business & Economics > Business & management > Management & management techniques > Operational research
Books > Science & Mathematics > Mathematics > Mathematical foundations > General
Books > Computing & IT > Applications of computing > Databases > Data mining
LSN: 1-4614-2613-8
Barcode: 9781461426134

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