Evangelos Triantaphyllou – författare
Visar alla böcker från författaren Evangelos Triantaphyllou. Handla med fri frakt och snabb leverans.
10 produkter
Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques
Av Evangelos Triantaphyllou, Giovanni Felici
Inbunden, 2006
2253 kr
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2. Some Background Information 49 3. Definitions and Terminology 52 4. The One Clause at a Time (OCAT) Approach 54 4. 1 Data Binarization 54 4. 2 The One Clause at a Time (OCAT) Concept 58 4. 3 A Branch-and-Bound Approach for Inferring Clauses 59 4. 4 Inference of the Clauses for the Illustrative …
Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques
Av Giovanni Felici, Evangelos Triantaphyllou
E-bok, 2006
2917 kr
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2. Some Background Information 49 3. Definitions and Terminology 52 4. The One Clause at a Time (OCAT) Approach 54 4. 1 Data Binarization 54 4. 2 The One Clause at a Time (OCAT) Concept 58 4. 3 A Branch-and-Bound Approach for Inferring Clauses 59 4. 4 Inference of the Clauses for the Illustrative …
Multi-criteria Decision Making Methods
A Comparative Study
Inbunden, 2000
2478 kr
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Multi-Criteria Decision Making (MCDM) has been one of the fastest growing problem areas in many disciplines. The central problem is how to evaluate a set of alternatives in terms of a number of criteria. Although this problem is very relevant in practice, there are few methods available and their …
Data Mining and Knowledge Discovery via Logic-Based Methods
Theory, Algorithms, and Applications
Inbunden, 2010
1643 kr
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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 …
Data Mining and Knowledge Discovery via Logic-Based Methods
Theory, Algorithms, and Applications
E-bok, 2010
2111 kr
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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 …
Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques
Av Evangelos Triantaphyllou, Giovanni Felici
Häftad, 2011
2253 kr
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2. Some Background Information 49 3. Definitions and Terminology 52 4. The One Clause at a Time (OCAT) Approach 54 4. 1 Data Binarization 54 4. 2 The One Clause at a Time (OCAT) Concept 58 4. 3 A Branch-and-Bound Approach for Inferring Clauses 59 4. 4 Inference of the Clauses for the Illustrative …
Multi-criteria Decision Making Methods
A Comparative Study
Häftad, 2010
2188 kr
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Multi-Criteria Decision Making (MCDM) has been one of the fastest growing problem areas in many disciplines. The central problem is how to evaluate a set of alternatives in terms of a number of criteria. Although this problem is very relevant in practice, there are few methods available and their …
Data Mining and Knowledge Discovery via Logic-Based Methods
Theory, Algorithms, and Applications
Häftad, 2012
1643 kr
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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 …
Multi-criteria Decision Making Methods
A Comparative Study
E-bok, 2013
2798 kr
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Multi-Criteria Decision Making (MCDM) has been one of the fastest growing problem areas in many disciplines. The central problem is how to evaluate a set of alternatives in terms of a number of criteria. Although this problem is very relevant in practice, there are few methods available and their …
RECENT ADVANCES IN DATA MINING OF ENTERPRISE DATA: ALGORITHMS AND APPLICATIONS
Av T Warren Liao, Evangelos Triantaphyllou
Inbunden, 2008
4869 kr
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The main goal of the new field of data mining is the analysis of large and complex datasets. Some very important datasets may be derived from business and industrial activities. This kind of data is known as “enterprise data”. The common characteristic of such datasets is that the analyst wishes to …
