Data mining for the social sciences: an introduction
"We live, today, in world of big data. The amount of information collected on human behavior every day is staggering, and exponentially greater than at any time in the past. At the same time, we are inundated by stories of powerful algorithms capable of churning through this sea of data and unc...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Oakland, Calif.
Univ. of California Press
2015
|
| Ausgabe: | First edition |
| Schlagworte: | |
| Zusammenfassung: | "We live, today, in world of big data. The amount of information collected on human behavior every day is staggering, and exponentially greater than at any time in the past. At the same time, we are inundated by stories of powerful algorithms capable of churning through this sea of data and uncovering patterns. These techniques go by many names - data mining, predictive analytics, machine learning - and they are being used by governments as they spy on citizens and by huge corporations are they fine-tune their advertising strategies. And yet social scientists continue mainly to employ a set of analytical tools developed in an earlier era when data was sparse and difficult to come by. In this timely book, Paul Attewell and David Monaghan provide a simple and accessible introduction to Data Mining geared towards social scientists. They discuss how the data mining approach differs substantially, and in some ways radically, from that of conventional statistical modeling familiar to most social scientists. They demystify data mining, describing the diverse set of techniques that the term covers and discussing the strengths and weaknesses of the various approaches. Finally they give practical demonstrations of how to carry out analyses using data mining tools in a number of statistical software packages. It is the hope of the authors that this book will empower social scientists to consider incorporating data mining methodologies in their analytical toolkits"...Provided by publisher |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | XI, 252 S. Ill., graph. Darst. |
| ISBN: | 0520280970 0520280989 9780520280977 9780520280984 |
Internformat
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| 100 | 1 | |a Attewell, Paul |d 1949- |e Verfasser |0 (DE-588)1073716716 |4 aut | |
| 245 | 1 | 0 | |a Data mining for the social sciences |b an introduction |c Paul Attewell and David B. Monaghan with Darren Kwong |
| 250 | |a First edition | ||
| 264 | 1 | |a Oakland, Calif. |b Univ. of California Press |c 2015 | |
| 300 | |a XI, 252 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Includes bibliographical references and index | ||
| 520 | |a "We live, today, in world of big data. The amount of information collected on human behavior every day is staggering, and exponentially greater than at any time in the past. At the same time, we are inundated by stories of powerful algorithms capable of churning through this sea of data and uncovering patterns. These techniques go by many names - data mining, predictive analytics, machine learning - and they are being used by governments as they spy on citizens and by huge corporations are they fine-tune their advertising strategies. And yet social scientists continue mainly to employ a set of analytical tools developed in an earlier era when data was sparse and difficult to come by. In this timely book, Paul Attewell and David Monaghan provide a simple and accessible introduction to Data Mining geared towards social scientists. They discuss how the data mining approach differs substantially, and in some ways radically, from that of conventional statistical modeling familiar to most social scientists. They demystify data mining, describing the diverse set of techniques that the term covers and discussing the strengths and weaknesses of the various approaches. Finally they give practical demonstrations of how to carry out analyses using data mining tools in a number of statistical software packages. It is the hope of the authors that this book will empower social scientists to consider incorporating data mining methodologies in their analytical toolkits"...Provided by publisher | ||
| 650 | 4 | |a Datenverarbeitung | |
| 650 | 4 | |a Sozialwissenschaften | |
| 650 | 4 | |a Social sciences |x Data processing | |
| 650 | 4 | |a Social sciences |x Statistical methods | |
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Datensatz im Suchindex
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| author | Attewell, Paul 1949- Monaghan, David B. 1988- |
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| callnumber-first | H - Social Science |
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| callnumber-subject | H - Social Science |
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| ctrlnum | (OCoLC)908617426 (DE-599)BVBBV042638630 |
| dewey-full | 006.3/12 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3/12 |
| dewey-search | 006.3/12 |
| dewey-sort | 16.3 212 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik Soziologie |
| edition | First edition |
| format | Book |
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| indexdate | 2024-07-10T07:06:29Z |
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| isbn | 0520280970 0520280989 9780520280977 9780520280984 |
| language | English |
| lccn | 014035276 |
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| spelling | Attewell, Paul 1949- Verfasser (DE-588)1073716716 aut Data mining for the social sciences an introduction Paul Attewell and David B. Monaghan with Darren Kwong First edition Oakland, Calif. Univ. of California Press 2015 XI, 252 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index "We live, today, in world of big data. The amount of information collected on human behavior every day is staggering, and exponentially greater than at any time in the past. At the same time, we are inundated by stories of powerful algorithms capable of churning through this sea of data and uncovering patterns. These techniques go by many names - data mining, predictive analytics, machine learning - and they are being used by governments as they spy on citizens and by huge corporations are they fine-tune their advertising strategies. And yet social scientists continue mainly to employ a set of analytical tools developed in an earlier era when data was sparse and difficult to come by. In this timely book, Paul Attewell and David Monaghan provide a simple and accessible introduction to Data Mining geared towards social scientists. They discuss how the data mining approach differs substantially, and in some ways radically, from that of conventional statistical modeling familiar to most social scientists. They demystify data mining, describing the diverse set of techniques that the term covers and discussing the strengths and weaknesses of the various approaches. Finally they give practical demonstrations of how to carry out analyses using data mining tools in a number of statistical software packages. It is the hope of the authors that this book will empower social scientists to consider incorporating data mining methodologies in their analytical toolkits"...Provided by publisher Datenverarbeitung Sozialwissenschaften Social sciences Data processing Social sciences Statistical methods Data mining Sozialwissenschaften (DE-588)4055916-6 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Sozialwissenschaften (DE-588)4055916-6 s Data Mining (DE-588)4428654-5 s DE-604 Monaghan, David B. 1988- Verfasser (DE-588)1073716848 aut Erscheint auch als Online-Ausgabe 0-520-96059-9 Erscheint auch als Online-Ausgabe 978-0-520-96059-6 |
| spellingShingle | Attewell, Paul 1949- Monaghan, David B. 1988- Data mining for the social sciences an introduction Datenverarbeitung Sozialwissenschaften Social sciences Data processing Social sciences Statistical methods Data mining Sozialwissenschaften (DE-588)4055916-6 gnd Data Mining (DE-588)4428654-5 gnd |
| subject_GND | (DE-588)4055916-6 (DE-588)4428654-5 |
| title | Data mining for the social sciences an introduction |
| title_auth | Data mining for the social sciences an introduction |
| title_exact_search | Data mining for the social sciences an introduction |
| title_full | Data mining for the social sciences an introduction Paul Attewell and David B. Monaghan with Darren Kwong |
| title_fullStr | Data mining for the social sciences an introduction Paul Attewell and David B. Monaghan with Darren Kwong |
| title_full_unstemmed | Data mining for the social sciences an introduction Paul Attewell and David B. Monaghan with Darren Kwong |
| title_short | Data mining for the social sciences |
| title_sort | data mining for the social sciences an introduction |
| title_sub | an introduction |
| topic | Datenverarbeitung Sozialwissenschaften Social sciences Data processing Social sciences Statistical methods Data mining Sozialwissenschaften (DE-588)4055916-6 gnd Data Mining (DE-588)4428654-5 gnd |
| topic_facet | Datenverarbeitung Sozialwissenschaften Social sciences Data processing Social sciences Statistical methods Data mining Data Mining |
| work_keys_str_mv | AT attewellpaul dataminingforthesocialsciencesanintroduction AT monaghandavidb dataminingforthesocialsciencesanintroduction |