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Graphical models : representations for learning, reasoning and data mining 2nd ed

Graphical models : representations for learning, reasoning and data mining 2nd ed (Loan 5 times)

Material type
단행본
Personal Author
Borgelt, Christian. Kruse, Rudolf. Steinbrecher, Matthias.
Title Statement
Graphical models : representations for learning, reasoning and data mining / Christian Borgelt, Matthias Steinbrecher & Rudolf Kruse.
판사항
2nd ed.
Publication, Distribution, etc
Chichester, West Sussex, UK :   John Wiley ,   2009.  
Physical Medium
viii, 393 p. : ill. ; 24 cm.
Series Statement
Wiley series in computational statistics
ISBN
047072210X (cloth) 9780470722107 (cloth)
Bibliography, Etc. Note
Includes bibliographical references and index.
Subject Added Entry-Topical Term
Mathematical statistics -- Graphic methods. Data mining.
000 01203camuu2200325 a 4500
001 000045584510
005 20100408150746
008 100405s2009 enka b 001 0 eng
010 ▼a 2009028756
020 ▼a 047072210X (cloth)
020 ▼a 9780470722107 (cloth)
035 ▼a (OCoLC)ocn368051801
040 ▼a DLC ▼c DLC ▼d YDX ▼d BTCTA ▼d BWK ▼d BWX ▼d CDX ▼d DLC ▼d 211009
050 0 0 ▼a QA76.9.D343 ▼b B67 2009
082 0 0 ▼a 006.3/12 ▼2 22
090 ▼a 006.312 ▼b B732g2
100 1 ▼a Borgelt, Christian.
245 1 0 ▼a Graphical models : ▼b representations for learning, reasoning and data mining / ▼c Christian Borgelt, Matthias Steinbrecher & Rudolf Kruse.
250 ▼a 2nd ed.
260 ▼a Chichester, West Sussex, UK : ▼b John Wiley , ▼c 2009.
300 ▼a viii, 393 p. : ▼b ill. ; ▼c 24 cm.
490 1 ▼a Wiley series in computational statistics
504 ▼a Includes bibliographical references and index.
650 0 ▼a Mathematical statistics ▼x Graphic methods.
650 0 ▼a Data mining.
700 1 ▼a Kruse, Rudolf.
700 1 ▼a Steinbrecher, Matthias.
830 0 ▼a Wiley series in computational statistics.
945 ▼a KLPA

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/Western Books/ Call Number 006.312 B732g2 Accession No. 111574959 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents

Preface.

1 Introduction.

1.1 Data and Knowledge.

1.2 Knowledge Discovery and Data Mining.

1.3 Graphical Models.

1.4 Outline of this Book.

2 Imprecision and Uncertainty.

2.1 Modeling Inferences.

2.2 Imprecision and Relational Algebra.

2.3 Uncertainty and Probability Theory.

2.4 Possibility Theory and the Context Model.

3 Decomposition.

3.1 Decomposition and Reasoning.

3.2 Relational Decomposition.

3.3 Probabilistic Decomposition.

3.4 Possibilistic Decomposition.

3.5 Possibility versus Probability.

4 Graphical Representation.

4.1 Conditional Independence Graphs.

4.2 Evidence Propagation in Graphs.

5 Computing Projections.

5.1 Databases of Sample Cases.

5.2 Relational and Sum Projections.

5.3 Expectation Maximization.

5.4 Maximum Projections.

6 Naive Classifiers.

6.1 Naive Bayes Classifiers.

6.2 A Naive Possibilistic Classifier.

6.3 Classifier Simplification.

6.4 Experimental Evaluation.

7 Learning Global Structure.

7.1 Principles of Learning Global Structure.

7.2 Evaluation Measures.

7.3 Search Methods.

7.4 Experimental Evaluation.

8 Learning Local Structure.

8.1 Local Network Structure.

8.2 Learning Local Structure.

8.3 Experimental Evaluation.

9 Inductive Causation.

9.1 Correlation and Causation.

9.2 Causal and Probabilistic Structure.

9.3 Faithfulness and Latent Variables.

9.4 The Inductive Causation Algorithm.

9.5 Critique of the Underlying Assumptions.

9.6 Evaluation.

10 Visualization.

10.1 Potentials.

10.2 Association Rules.

11 Applications.

11.1 Diagnosis of Electrical Circuits.

11.2 Application in Telecommunications.

11.3 Application at Volkswagen.

11.4 Application at DaimlerChrysler.

A Proofs of Theorems.

A.1 Proof of Theorem 4.1.2.

A.2 Proof of Theorem 4.1.18.

A.3 Proof of Theorem 4.1.20.

A.4 Proof of Theorem 4.1.26.

A.5 Proof of Theorem 4.1.28.

A.6 Proof of Theorem 4.1.30.

A.7 Proof of Theorem 4.1.31.

A.8 Proof of Theorem 5.4.8.

A.9 Proof of Lemma .2.2.

A.10 Proof of Lemma .2.4.

A.11 Proof of Lemma .2.6.

A.12 Proof of Theorem 7.3.1.

A.13 Proof of Theorem 7.3.2.

A.14 Proof of Theorem 7.3.3.

A.15 Proof of Theorem 7.3.5.

A.16 Proof of Theorem 7.3.7.

B Software Tools.

Bibliography.

Index.


Information Provided By: : Aladin

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