Knowledge discovery in the social sciences :: a data mining approach /
"Knowledge Discovery in the Social Sciences helps readers find valid, meaningful, and useful information, and it is written for researchers and data analysts, as well as students who hold no prior experience in statistics or computer science. Suitable for a variety of courses--including upper-d...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Oakland, California :
University of California Press,
[2020]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "Knowledge Discovery in the Social Sciences helps readers find valid, meaningful, and useful information, and it is written for researchers and data analysts, as well as students who hold no prior experience in statistics or computer science. Suitable for a variety of courses--including upper-division courses for undergraduates, introductory courses for graduate students, and courses in data management and advanced statistical methods--the book guides readers in the application of data mining techniques and illustrates the significance of newly discovered knowledge. Readers will learn to: appreciate the role of data mining in scientific research; develop expertise in fundamental concepts of data mining and knowledge discovery; use software to carry out data mining tasks; select and assess appropriate models to ensure findings are valid and meaningful; develop basic skills in data preparation, data mining, model selection, and validation. Learning tools include an exercise section and review summary at the end of each chapter, while instructor's resources include instructions on how to carry out data mining tasks on various software"-- |
| Beschreibung: | 1 online resource |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9780520965874 0520965876 |
Internformat
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| 264 | 4 | |c ©2020 | |
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| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Knowledge discovery and data mining in social science research -- Data preprocessing -- Model assessment -- Data mining : unsupervised learning -- Data mining : supervised learning -- Data mining : text data and network data. | |
| 520 | |a "Knowledge Discovery in the Social Sciences helps readers find valid, meaningful, and useful information, and it is written for researchers and data analysts, as well as students who hold no prior experience in statistics or computer science. Suitable for a variety of courses--including upper-division courses for undergraduates, introductory courses for graduate students, and courses in data management and advanced statistical methods--the book guides readers in the application of data mining techniques and illustrates the significance of newly discovered knowledge. Readers will learn to: appreciate the role of data mining in scientific research; develop expertise in fundamental concepts of data mining and knowledge discovery; use software to carry out data mining tasks; select and assess appropriate models to ensure findings are valid and meaningful; develop basic skills in data preparation, data mining, model selection, and validation. Learning tools include an exercise section and review summary at the end of each chapter, while instructor's resources include instructions on how to carry out data mining tasks on various software"-- |c Provided by publisher | ||
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| 650 | 0 | |a Social sciences |x Research |x Data processing. | |
| 650 | 0 | |a Data mining. |0 http://id.loc.gov/authorities/subjects/sh97002073 | |
| 650 | 2 | |a Data Mining |0 https://id.nlm.nih.gov/mesh/D057225 | |
| 650 | 6 | |a Sciences sociales |x Recherche |x Informatique. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 7 | |a SOCIAL SCIENCE |x Methodology. |2 bisacsh | |
| 650 | 7 | |a Data mining |2 fast | |
| 650 | 7 | |a Social sciences |x Research |x Data processing |2 fast | |
| 653 | |a academic research. | ||
| 653 | |a academic. | ||
| 653 | |a anova test. | ||
| 653 | |a best fit model. | ||
| 653 | |a box plot. | ||
| 653 | |a causality. | ||
| 653 | |a classification. | ||
| 653 | |a collecting data. | ||
| 653 | |a data mining. | ||
| 653 | |a data processing. | ||
| 653 | |a decision trees. | ||
| 653 | |a matrix. | ||
| 653 | |a regression. | ||
| 653 | |a scholarly research. | ||
| 653 | |a scholarly. | ||
| 653 | |a scientific research. | ||
| 653 | |a scientific study. | ||
| 653 | |a social science. | ||
| 653 | |a statistical analysis. | ||
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| 653 | |a text mining. | ||
| 653 | |a variables. | ||
| 653 | |a web mining. | ||
| 758 | |i has work: |a Knowledge discovery in the social sciences (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGfmVpbqD3Dr34r4CD7QHK |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
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| author | Shu, Xiaoling, 1968- |
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| contents | Knowledge discovery and data mining in social science research -- Data preprocessing -- Model assessment -- Data mining : unsupervised learning -- Data mining : supervised learning -- Data mining : text data and network data. |
| ctrlnum | (OCoLC)1110674217 |
| dewey-full | 300.285/6312 |
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| dewey-ones | 300 - Social sciences |
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| discipline | Soziologie |
| format | Electronic eBook |
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| spelling | Shu, Xiaoling, 1968- author. http://id.loc.gov/authorities/names/no2019106349 Knowledge discovery in the social sciences : a data mining approach / Xiaoling Shu. Oakland, California : University of California Press, [2020] ©2020 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. Knowledge discovery and data mining in social science research -- Data preprocessing -- Model assessment -- Data mining : unsupervised learning -- Data mining : supervised learning -- Data mining : text data and network data. "Knowledge Discovery in the Social Sciences helps readers find valid, meaningful, and useful information, and it is written for researchers and data analysts, as well as students who hold no prior experience in statistics or computer science. Suitable for a variety of courses--including upper-division courses for undergraduates, introductory courses for graduate students, and courses in data management and advanced statistical methods--the book guides readers in the application of data mining techniques and illustrates the significance of newly discovered knowledge. Readers will learn to: appreciate the role of data mining in scientific research; develop expertise in fundamental concepts of data mining and knowledge discovery; use software to carry out data mining tasks; select and assess appropriate models to ensure findings are valid and meaningful; develop basic skills in data preparation, data mining, model selection, and validation. Learning tools include an exercise section and review summary at the end of each chapter, while instructor's resources include instructions on how to carry out data mining tasks on various software"-- Provided by publisher Print version record. Social sciences Research Data processing. Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Data Mining https://id.nlm.nih.gov/mesh/D057225 Sciences sociales Recherche Informatique. Exploration de données (Informatique) SOCIAL SCIENCE Methodology. bisacsh Data mining fast Social sciences Research Data processing fast academic research. academic. anova test. best fit model. box plot. causality. classification. collecting data. data mining. data processing. decision trees. matrix. regression. scholarly research. scholarly. scientific research. scientific study. social science. statistical analysis. statistics. text mining. variables. web mining. has work: Knowledge discovery in the social sciences (Text) https://id.oclc.org/worldcat/entity/E39PCGfmVpbqD3Dr34r4CD7QHK https://id.oclc.org/worldcat/ontology/hasWork Print version: Shu, Xiaoling, 1968- Knowledge discovery in the social sciences. Oakland, California : University of California Press, [2020] 9780520339996 (DLC) 2019024334 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2345636 Volltext |
| spellingShingle | Shu, Xiaoling, 1968- Knowledge discovery in the social sciences : a data mining approach / Knowledge discovery and data mining in social science research -- Data preprocessing -- Model assessment -- Data mining : unsupervised learning -- Data mining : supervised learning -- Data mining : text data and network data. Social sciences Research Data processing. Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Data Mining https://id.nlm.nih.gov/mesh/D057225 Sciences sociales Recherche Informatique. Exploration de données (Informatique) SOCIAL SCIENCE Methodology. bisacsh Data mining fast Social sciences Research Data processing fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh97002073 https://id.nlm.nih.gov/mesh/D057225 |
| title | Knowledge discovery in the social sciences : a data mining approach / |
| title_auth | Knowledge discovery in the social sciences : a data mining approach / |
| title_exact_search | Knowledge discovery in the social sciences : a data mining approach / |
| title_full | Knowledge discovery in the social sciences : a data mining approach / Xiaoling Shu. |
| title_fullStr | Knowledge discovery in the social sciences : a data mining approach / Xiaoling Shu. |
| title_full_unstemmed | Knowledge discovery in the social sciences : a data mining approach / Xiaoling Shu. |
| title_short | Knowledge discovery in the social sciences : |
| title_sort | knowledge discovery in the social sciences a data mining approach |
| title_sub | a data mining approach / |
| topic | Social sciences Research Data processing. Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Data Mining https://id.nlm.nih.gov/mesh/D057225 Sciences sociales Recherche Informatique. Exploration de données (Informatique) SOCIAL SCIENCE Methodology. bisacsh Data mining fast Social sciences Research Data processing fast |
| topic_facet | Social sciences Research Data processing. Data mining. Data Mining Sciences sociales Recherche Informatique. Exploration de données (Informatique) SOCIAL SCIENCE Methodology. Data mining Social sciences Research Data processing |
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