Contemporary perspectives in data mining.: Volume 1 /
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Charlotte, NC :
Information Age Publishing,
[2012]
|
| Schriftenreihe: | Contemporary perspectives in data mining.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | 1 online resource (vi, 247 pages) : illustrations. |
| Bibliographie: | Includes bibliographical references. |
| ISBN: | 9781623960575 1623960576 |
Internformat
MARC
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| 505 | 0 | 0 | |g Machine generated contents note: |g SECTION |t A METHODOLOGICAL STUDIES -- |g 1. |t Frame Selection Based on Mixtures of Trees in Discrete Data / |r Zhimin Huang -- |g 2. |t Data Mining Techniques for Quality Improvement / |r Seoung Bum Kim -- |g 3. |t Big Bang Data Generation: Reinforcement for the Discriminant Problem / |r Gregory Smith -- |g 4. |t Business Analytics -- Today's Green? / |r B.D. McCullough -- |g 5. |t Change Point Plots: A Graphical Method for Identifying Changes in the Distribution of a Random Variable Over Time / |r James J. Cochran -- |g SECTION B |t FINANCIAL STUDIES -- |g 6. |t Discovering the Co-movement Structure of Chinese Stock Market by SPACE with EM Algorithm / |r Zhimin Huang -- |g 7. |t Knowledge Discovery for Continuous Financial Assurance Using Multiple Types of Digital Information / |r Daniel E. O'Leary -- |g 8. |t Regression Estimation of a Cost Function with Severe Data Problems and Extreme Values of Observations in the Maintenance and Repair Activities of Backbone Internet Providers / |r Sheila M. Lawrence -- |g SECTION C |t BEHAVIORAL STUDIES -- |g 9. |t Data Mining's Usefulness For Assessing Market Segmentation Performance / |r James Mangiameli -- |g 10. |t Measuring the Semantic and Representational Consistency of Interconnected Structured and Unstructured Data for Data Mining Applications / |r Paul Mangiameli -- |g 11. |t Clustering and Principal Components Analyses to Understand Student Motivations and Ethical Approaches to Academic Ethics with Recommendations for Curricular Change / |r Kathleen Campbell. |
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| 650 | 6 | |a Exploration de données (Informatique) | |
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| author_additional | Zhimin Huang -- Seoung Bum Kim -- Gregory Smith -- B.D. McCullough -- James J. Cochran -- Daniel E. O'Leary -- Sheila M. Lawrence -- James Mangiameli -- Paul Mangiameli -- Kathleen Campbell. |
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| contents | A METHODOLOGICAL STUDIES -- Frame Selection Based on Mixtures of Trees in Discrete Data / Data Mining Techniques for Quality Improvement / Big Bang Data Generation: Reinforcement for the Discriminant Problem / Business Analytics -- Today's Green? / Change Point Plots: A Graphical Method for Identifying Changes in the Distribution of a Random Variable Over Time / FINANCIAL STUDIES -- Discovering the Co-movement Structure of Chinese Stock Market by SPACE with EM Algorithm / Knowledge Discovery for Continuous Financial Assurance Using Multiple Types of Digital Information / Regression Estimation of a Cost Function with Severe Data Problems and Extreme Values of Observations in the Maintenance and Repair Activities of Backbone Internet Providers / BEHAVIORAL STUDIES -- Data Mining's Usefulness For Assessing Market Segmentation Performance / Measuring the Semantic and Representational Consistency of Interconnected Structured and Unstructured Data for Data Mining Applications / Clustering and Principal Components Analyses to Understand Student Motivations and Ethical Approaches to Academic Ethics with Recommendations for Curricular Change / |
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| indexdate | 2024-11-27T13:25:15Z |
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| language | English |
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| series | Contemporary perspectives in data mining. |
| series2 | Contemporary perspectives in data mining |
| spelling | Contemporary perspectives in data mining. Volume 1 / edited by Kenneth D. Lawrence, Ronald K. Klimberg. Charlotte, NC : Information Age Publishing, [2012] ©2012 1 online resource (vi, 247 pages) : illustrations. text txt rdacontent computer c rdamedia online resource cr rdacarrier Contemporary perspectives in data mining Online resource; title from PDF title page (EBSCO, viewed July 10, 2017). Includes bibliographical references. Machine generated contents note: SECTION A METHODOLOGICAL STUDIES -- 1. Frame Selection Based on Mixtures of Trees in Discrete Data / Zhimin Huang -- 2. Data Mining Techniques for Quality Improvement / Seoung Bum Kim -- 3. Big Bang Data Generation: Reinforcement for the Discriminant Problem / Gregory Smith -- 4. Business Analytics -- Today's Green? / B.D. McCullough -- 5. Change Point Plots: A Graphical Method for Identifying Changes in the Distribution of a Random Variable Over Time / James J. Cochran -- SECTION B FINANCIAL STUDIES -- 6. Discovering the Co-movement Structure of Chinese Stock Market by SPACE with EM Algorithm / Zhimin Huang -- 7. Knowledge Discovery for Continuous Financial Assurance Using Multiple Types of Digital Information / Daniel E. O'Leary -- 8. Regression Estimation of a Cost Function with Severe Data Problems and Extreme Values of Observations in the Maintenance and Repair Activities of Backbone Internet Providers / Sheila M. Lawrence -- SECTION C BEHAVIORAL STUDIES -- 9. Data Mining's Usefulness For Assessing Market Segmentation Performance / James Mangiameli -- 10. Measuring the Semantic and Representational Consistency of Interconnected Structured and Unstructured Data for Data Mining Applications / Paul Mangiameli -- 11. Clustering and Principal Components Analyses to Understand Student Motivations and Ethical Approaches to Academic Ethics with Recommendations for Curricular Change / Kathleen Campbell. Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Database searching. http://id.loc.gov/authorities/subjects/sh86007858 Querying (Computer science) http://id.loc.gov/authorities/subjects/sh2005008252 Exploration de données (Informatique) Bases de données Interrogation. online searching. aat COMPUTERS General. bisacsh Querying (Computer science) fast Data mining fast Database searching fast Lawrence, Kenneth D., editor. http://id.loc.gov/authorities/names/n86827486 Klimberg, Ronald K., editor. http://id.loc.gov/authorities/names/no2001040153 has work: Volume 1 Contemporary perspectives in data mining (Text) https://id.oclc.org/worldcat/entity/E39PCGQj3RxWryxB3jHfbGfg8C https://id.oclc.org/worldcat/ontology/hasWork Contemporary perspectives in data mining. FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=521860 Volltext |
| spellingShingle | Contemporary perspectives in data mining. Contemporary perspectives in data mining. A METHODOLOGICAL STUDIES -- Frame Selection Based on Mixtures of Trees in Discrete Data / Data Mining Techniques for Quality Improvement / Big Bang Data Generation: Reinforcement for the Discriminant Problem / Business Analytics -- Today's Green? / Change Point Plots: A Graphical Method for Identifying Changes in the Distribution of a Random Variable Over Time / FINANCIAL STUDIES -- Discovering the Co-movement Structure of Chinese Stock Market by SPACE with EM Algorithm / Knowledge Discovery for Continuous Financial Assurance Using Multiple Types of Digital Information / Regression Estimation of a Cost Function with Severe Data Problems and Extreme Values of Observations in the Maintenance and Repair Activities of Backbone Internet Providers / BEHAVIORAL STUDIES -- Data Mining's Usefulness For Assessing Market Segmentation Performance / Measuring the Semantic and Representational Consistency of Interconnected Structured and Unstructured Data for Data Mining Applications / Clustering and Principal Components Analyses to Understand Student Motivations and Ethical Approaches to Academic Ethics with Recommendations for Curricular Change / Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Database searching. http://id.loc.gov/authorities/subjects/sh86007858 Querying (Computer science) http://id.loc.gov/authorities/subjects/sh2005008252 Exploration de données (Informatique) Bases de données Interrogation. online searching. aat COMPUTERS General. bisacsh Querying (Computer science) fast Data mining fast Database searching fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh97002073 http://id.loc.gov/authorities/subjects/sh86007858 http://id.loc.gov/authorities/subjects/sh2005008252 |
| title | Contemporary perspectives in data mining. |
| title_alt | A METHODOLOGICAL STUDIES -- Frame Selection Based on Mixtures of Trees in Discrete Data / Data Mining Techniques for Quality Improvement / Big Bang Data Generation: Reinforcement for the Discriminant Problem / Business Analytics -- Today's Green? / Change Point Plots: A Graphical Method for Identifying Changes in the Distribution of a Random Variable Over Time / FINANCIAL STUDIES -- Discovering the Co-movement Structure of Chinese Stock Market by SPACE with EM Algorithm / Knowledge Discovery for Continuous Financial Assurance Using Multiple Types of Digital Information / Regression Estimation of a Cost Function with Severe Data Problems and Extreme Values of Observations in the Maintenance and Repair Activities of Backbone Internet Providers / BEHAVIORAL STUDIES -- Data Mining's Usefulness For Assessing Market Segmentation Performance / Measuring the Semantic and Representational Consistency of Interconnected Structured and Unstructured Data for Data Mining Applications / Clustering and Principal Components Analyses to Understand Student Motivations and Ethical Approaches to Academic Ethics with Recommendations for Curricular Change / |
| title_auth | Contemporary perspectives in data mining. |
| title_exact_search | Contemporary perspectives in data mining. |
| title_full | Contemporary perspectives in data mining. Volume 1 / edited by Kenneth D. Lawrence, Ronald K. Klimberg. |
| title_fullStr | Contemporary perspectives in data mining. Volume 1 / edited by Kenneth D. Lawrence, Ronald K. Klimberg. |
| title_full_unstemmed | Contemporary perspectives in data mining. Volume 1 / edited by Kenneth D. Lawrence, Ronald K. Klimberg. |
| title_short | Contemporary perspectives in data mining. |
| title_sort | contemporary perspectives in data mining |
| topic | Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Database searching. http://id.loc.gov/authorities/subjects/sh86007858 Querying (Computer science) http://id.loc.gov/authorities/subjects/sh2005008252 Exploration de données (Informatique) Bases de données Interrogation. online searching. aat COMPUTERS General. bisacsh Querying (Computer science) fast Data mining fast Database searching fast |
| topic_facet | Data mining. Database searching. Querying (Computer science) Exploration de données (Informatique) Bases de données Interrogation. online searching. COMPUTERS General. Data mining Database searching |
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