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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Informatik & EDV Informatik Data Mining and Knowledge Discovery via Logic-Based Methods
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Data Mining and Knowledge Discovery via Logic-Based Methods
Evangelos Triantaphyllou (Broschiert, Englisch)
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Beschreibung
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. 160,49 €
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Technische Daten
Erscheinungsdatum
05.09.2012
Sprache
Englisch
EAN
9781461426134
Herausgeber
Springer US
Serien- oder Bandtitel
Springer Optimization and Its Applications
Sonderedition
Nein
Autor
Evangelos Triantaphyllou
Seitenanzahl
350
Einbandart
Broschiert
Buch Untertitel
Theory, Algorithms, and Applications
Schlagwörter
Artifical Intelligence, Boolean function, Data Analysis, Decision Making, Intelligent Systems, Knowledge Discovery, Learning Systems, algorithms, data mining, logic, mathematical logic
Thema-Inhalt
UNF - Data Mining
UYQE - Wissensbasierte Systeme, Expertensysteme
UYA - Theoretische Informatik
PBCD - Mathematik: Logik
PBC - Mathematische Grundlagen
KJT - Unternehmensforschung
KJMD - Management: Entscheidungstheorie
Höhe
235 mm
Breite
15.5 cm
Transparenz & Sicherheit
Hersteller: Springer Nature Customer Service Center GmbH, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com
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