Contrast data mining (Record no. 12153)
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| 000 -LEADER | |
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| fixed length control field | 03525nam a2200361Ia 4500 |
| 001 - CONTROL NUMBER | |
| control field | CAH0KE12510PDF |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | BD-DhSAU |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20151012144310.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m|||||o||d|||||||| |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr|||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 121126s2013 fluad sb 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781439854334 (ebook : PDF) |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | BD-DhSAU |
| Transcribing agency | BD-DhSAU |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (OCLC) | |
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) | QA76.9.D343 |
| Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) | C65 2013 |
| 092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC) | |
| Classification number | 006.312 |
| Item number | C764 |
| 245 00 - TITLE STATEMENT | |
| Title | Contrast data mining |
| Medium | [electronic resource] : |
| Remainder of title | concepts, algorithms, and applications / |
| Statement of responsibility, etc. | edited by Guozhu Dong and James Bailey. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | Boca Raton : |
| Name of publisher, distributor, etc. | CRC Press, |
| Date of publication, distribution, etc. | 2013. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxiv, 410 p. : |
| Other physical details | ill. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Chapman & Hall/CRC data mining and knowledge discovery series |
| 500 ## - GENERAL NOTE | |
| General note | "A Chapman & Hall book." |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes bibliographical references (p. 363-402) and index. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 1. Preliminaries and statistical contrast measures -- 2. Contrast mining algorithms -- 3. Generalized contrasts, emerging data cubes, and rough sets -- 4. Contrast mining for classification & clustering -- 5. Contrast mining for bioinformatics and chemoinformatics -- 6. Contrast mining for special domains -- 7. Survey of other papers. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | "Preface Contrasting is one of the most basic types of analysis. Contrasting based analysis is routinely employed, often subconsciously, by all types of people. People use contrasting to better understand the world around them and the challenging problems they want to solve. People use contrasting to accurately assess the desirability of important situations, and to help them better avoid potentially harmful situations and embrace potentially beneficial ones. Contrasting involves the comparison of one dataset against another. The datasets may represent data of different time periods, spatial locations, or classes, or they may represent data satisfying different conditions. Contrasting is often employed to compare cases with a desirable outcome against cases with an undesirable one, for example comparing the benign and diseased tissue classes of a cancer, or comparing students who graduate with university degrees against those who do not. Contrasting can identify patterns that capture changes and trends over time or space, or identify discriminative patterns that capture differences among contrasting classes or conditions. Traditional methods for contrasting multiple datasets were often very simple so that they could be performed by hand. For example, one could compare the respective feature means, compare the respective attribute-value distributions, or compare the respective probabilities of simple patterns, in the datasets being contrasted. However, the simplicity of such approaches has limitations, as it is difficult to use them to identify specific patterns that offer novel and actionable insights, and identify desirable sets of discriminative patterns for building accurate and explainable classifiers"-- |
| Assigning source | Provided by publisher. |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
| Additional physical form available note | Also available in print edition. |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | Mode of access: World Wide Web. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Contrast data mining. |
| 655 #7 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| Source of term | lcsh |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Dong, Guozhu, |
| Dates associated with a name | 1957- |
| Relator term | editor of compilaton. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Bailey, James, |
| Dates associated with a name | 1971 June 30- |
| 776 1# - ADDITIONAL PHYSICAL FORM ENTRY | |
| International Standard Book Number | 9781439854327 (hardback : acid-free paper) |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Chapman & Hall/CRC data mining and knowledge discovery series. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="http://marc.crcnetbase.com/isbn/9781439854334">http://marc.crcnetbase.com/isbn/9781439854334</a> |
| Electronic format type | application/PDF |
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