MARC details
| 000 -LEADER |
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| fixed length control field |
02632cam a2200385 i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
17116449 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20210427133000.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
120111s2012 enka b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
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| LC control number |
2011049968 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9780521190213 (hardback) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
0521190215 (hardback) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9780521122047 (paperback) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
052112204X (paperback) |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
DLC |
| Transcribing agency |
DLC |
| Modifying agency |
YDX |
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BDX |
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YDXCP |
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CDX |
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UKMGB |
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OCLCO |
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YNK |
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OCLCO |
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PUL |
| -- |
DLC |
| Description conventions |
rda |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
Q325.7 |
| Item number |
.M85 2012 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
006.31 |
| Edition number |
23 |
| Item number |
M.M.R |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Müller, M. E. |
| Fuller form of name |
(Martin E.), |
| Dates associated with a name |
1970- |
| 245 10 - TITLE STATEMENT |
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| Title |
Relational knowledge discovery / |
| Statement of responsibility, etc |
M.E. Müller. |
| 264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Cambridge ; |
| -- |
New York : |
| Name of publisher, distributor, etc |
Cambridge University Press, |
| Date of publication, distribution, etc |
2012. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
vi, 271 pages. : |
| Other physical details |
illustrations ; |
| Dimensions |
26 cm. |
| 336 ## - CONTENT TYPE |
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| Source |
rdacontent |
| Content type term |
text |
| 337 ## - MEDIA TYPE |
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| Source |
rdamedia |
| Media type term |
unmediated |
| 338 ## - CARRIER TYPE |
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| Source |
rdacarrier |
| Carrier type term |
volume |
| 490 0# - SERIES STATEMENT |
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| Series statement |
Lecture notes on machine learning |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc |
Includes bibliographical references (p. 261-266) and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
1. Introduction; 2. Relational knowledge; 3. From data to hypotheses; 4. Clustering; 5. Information gain; 6. Knowledge and relations; 7. Rough set theory; 8. Inductive logic learning; 9. Ensemble learning; 10. The logic of knowledge; 11. Indexes and bibliography; Bibliography; Index. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
"What is knowledge and how is it represented? This book focuses on the idea of formalising knowledge as relations, interpreting knowledge represented in databases or logic programs as relational data and discovering new knowledge by identifying hidden and defining new relations. After a brief introduction to representational issues, the author develops a relational language for abstract machine learning problems. He then uses this language to discuss traditional methods such as clustering and decision tree induction, before moving onto two previously underestimated topics that are just coming to the fore: rough set data analysis and inductive logic programming. Its clear and precise presentation is ideal for undergraduate computer science students. The book will also interest those who study artificial intelligence or machine learning at the graduate level. Exercises are provided and each concept is introduced using the same example domain, making it easier to compare the individual properties of different approaches"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Computational learning theory. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Relational databases. |
| 856 42 - ELECTRONIC LOCATION AND ACCESS |
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| Materials specified |
Cover image |
| Uniform Resource Identifier |
<a href="http://assets.cambridge.org/97805211/90213/cover/9780521190213.jpg">http://assets.cambridge.org/97805211/90213/cover/9780521190213.jpg</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Books |
| Source of classification or shelving scheme |
Dewey Decimal Classification |