Logical and relational learning: with 10 tables
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | German |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2008
|
| Schriftenreihe: | Cognitive technologies
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Frühere Titelang.: From inductive logic programming to multi-relational data mining |
| Beschreibung: | XV, 387 S. graph. Darst. |
| ISBN: | 9783540200406 9783540688563 |
Internformat
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Datensatz im Suchindex
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|---|---|
| adam_text | GESCANNT DURCH CONTENTS 1 INTRODUCTION 1 1.1 WHAT IS LOGICAL AND
RELATIONAL LEARNING? 1 1.2 WHY IS LOGICAL AND RELATIONAL LEARNING
IMPORTANT? 2 1.2.1 STRUCTURE ACTIVITY RELATIONSHIP PREDICTION 3 1.2.2 A
WEB MINING EXAMPLE 5 1.2.3 A LANGUAGE LEARNING EXAMPLE 7 1.3 HOW DOES
RELATIONAL AND LOGICAL LEARNING WORK? 8 1.4 A BRIEF HISTORY 11 2 AN
INTRODUCTION TO LOGIC 17 2.1 A RELATIONAL DATABASE EXAMPLE 17 2.2 THE
SYNTAX OF CLAUSAL LOGIC 20 2.3 THE SEMANTICS OF CLAUSAL LOGIC * MODEL
THEORY 22 2.4 INFERENCE WITH CLAUSAL LOGIC * PROOF THEORY 28 2.5 PROLOG
AND SLD-RESOLUTION 35 2.6 HISTORICAL AND BIBLIOGRAPHIE REMARKS 39 3 AN
INTRODUCTION TO LEARNING AND SEARCH 41 3.1 REPRESENTING HYPOTHESES AND
INSTANCES 41 3.2 BOOLEAN DATA 43 3.3 MACHINE LEARNING 44 3.4 DATA MINING
45 3.5 A GENERATE-AND-TEST ALGORITHM 47 3.6 STRUCTURING THE SEARCH SPACE
48 3.7 MONOTONICITY 50 3.8 BORDERS 53 3.9 REFINEMENT OPERATORS 56 3.10 A
GENERIC ALGORITHM FOR MINING AND LEARNING 58 3.11 A COMPLETE
GENERAL-TO-SPECIFIC ALGORITHM 59 3.12 A HEURISTIC GENERAL-TO-SPECIFIC
ALGORITHM 60 3.13 A BRANCH-AND-BOUND ALGORITHM 62 BIBLIOGRAFISCHE
INFORMATIONEN HTTP://D-NB.INFO/968670407 DIGITALISIERT DURCH * * * * * *
* * * * *
|
| adam_txt |
GESCANNT DURCH CONTENTS 1 INTRODUCTION 1 1.1 WHAT IS LOGICAL AND
RELATIONAL LEARNING? 1 1.2 WHY IS LOGICAL AND RELATIONAL LEARNING
IMPORTANT? 2 1.2.1 STRUCTURE ACTIVITY RELATIONSHIP PREDICTION 3 1.2.2 A
WEB MINING EXAMPLE 5 1.2.3 A LANGUAGE LEARNING EXAMPLE 7 1.3 HOW DOES
RELATIONAL AND LOGICAL LEARNING WORK? 8 1.4 A BRIEF HISTORY 11 2 AN
INTRODUCTION TO LOGIC 17 2.1 A RELATIONAL DATABASE EXAMPLE 17 2.2 THE
SYNTAX OF CLAUSAL LOGIC 20 2.3 THE SEMANTICS OF CLAUSAL LOGIC * MODEL
THEORY 22 2.4 INFERENCE WITH CLAUSAL LOGIC * PROOF THEORY 28 2.5 PROLOG
AND SLD-RESOLUTION 35 2.6 HISTORICAL AND BIBLIOGRAPHIE REMARKS 39 3 AN
INTRODUCTION TO LEARNING AND SEARCH 41 3.1 REPRESENTING HYPOTHESES AND
INSTANCES 41 3.2 BOOLEAN DATA 43 3.3 MACHINE LEARNING 44 3.4 DATA MINING
45 3.5 A GENERATE-AND-TEST ALGORITHM 47 3.6 STRUCTURING THE SEARCH SPACE
48 3.7 MONOTONICITY 50 3.8 BORDERS 53 3.9 REFINEMENT OPERATORS 56 3.10 A
GENERIC ALGORITHM FOR MINING AND LEARNING 58 3.11 A COMPLETE
GENERAL-TO-SPECIFIC ALGORITHM 59 3.12 A HEURISTIC GENERAL-TO-SPECIFIC
ALGORITHM 60 3.13 A BRANCH-AND-BOUND ALGORITHM 62 BIBLIOGRAFISCHE
INFORMATIONEN HTTP://D-NB.INFO/968670407 DIGITALISIERT DURCH * * * * * *
* * * * * |
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| author | De Raedt, Luc 1964- |
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| classification_rvk | ST 300 ST 304 |
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| ctrlnum | (OCoLC)260038913 (DE-599)DNB968670407 |
| dewey-full | 006.31 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.31 |
| dewey-search | 006.31 |
| dewey-sort | 16.31 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| format | Book |
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| illustrated | Illustrated |
| index_date | 2024-07-02T21:43:31Z |
| indexdate | 2024-07-09T21:20:07Z |
| institution | BVB |
| isbn | 9783540200406 9783540688563 |
| language | German |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016679429 |
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| physical | XV, 387 S. graph. Darst. |
| publishDate | 2008 |
| publishDateSearch | 2008 |
| publishDateSort | 2008 |
| publisher | Springer |
| record_format | marc |
| series2 | Cognitive technologies |
| spelling | De Raedt, Luc 1964- Verfasser (DE-588)123106532 aut Logical and relational learning with 10 tables Luc de Raedt Berlin [u.a.] Springer 2008 XV, 387 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Cognitive technologies Frühere Titelang.: From inductive logic programming to multi-relational data mining Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Induktive logische Programmierung (DE-588)4807625-9 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 s DE-604 Induktive logische Programmierung (DE-588)4807625-9 s Data Mining (DE-588)4428654-5 s DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016679429&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | De Raedt, Luc 1964- Logical and relational learning with 10 tables Maschinelles Lernen (DE-588)4193754-5 gnd Induktive logische Programmierung (DE-588)4807625-9 gnd Data Mining (DE-588)4428654-5 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4807625-9 (DE-588)4428654-5 |
| title | Logical and relational learning with 10 tables |
| title_auth | Logical and relational learning with 10 tables |
| title_exact_search | Logical and relational learning with 10 tables |
| title_exact_search_txtP | Logical and relational learning with 10 tables |
| title_full | Logical and relational learning with 10 tables Luc de Raedt |
| title_fullStr | Logical and relational learning with 10 tables Luc de Raedt |
| title_full_unstemmed | Logical and relational learning with 10 tables Luc de Raedt |
| title_short | Logical and relational learning |
| title_sort | logical and relational learning with 10 tables |
| title_sub | with 10 tables |
| topic | Maschinelles Lernen (DE-588)4193754-5 gnd Induktive logische Programmierung (DE-588)4807625-9 gnd Data Mining (DE-588)4428654-5 gnd |
| topic_facet | Maschinelles Lernen Induktive logische Programmierung Data Mining |
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