Isbn: 9780520280984 - data mining for the social sciences: an introduction (29 Ergebnisse)

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Paperback. Zustand: Good. We live in a world of big data: the amount of information collected on human behavior each day is staggering, and exponentially greater than at any time in the past. Additionally, powerful algorithms are capable of churning through seas of data to uncover patterns. Providing a simple and accessible introduction to data mining, Paul Attewell and David B. Monaghan discuss how data mining substantially differs from conventional statistical modeling familiar to most social scientists. The authors also empower social scientists to tap into these new resources and incorporate data mining methodologies in their analytical toolkits. Data Mining for the Social Sciences demystifies the process by describing the diverse set of techniques available, discussing the strengths and weaknesses of various approaches, and giving practical demonstrations of how to carry out analyses using tools in various statistical software packages. …

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Paperback. Zustand: Good. We live in a world of big data: the amount of information collected on human behavior each day is staggering, and exponentially greater than at any time in the past. Additionally, powerful algorithms are capable of churning through seas of data to uncover patterns. Providing a simple and accessible introduction to data mining, Paul Attewell and David B. Monaghan discuss how data mining substantially differs from conventional statistical modeling familiar to most social scientists. The authors also empower social scientists to tap into these new resources and incorporate data mining methodologies in their analytical toolkits. Data Mining for the Social Sciences demystifies the process by describing the diverse set of techniques available, discussing the strengths and weaknesses of various approaches, and giving practical demonstrations of how to carry out analyses using tools in various statistical software packages. …

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Paperback. Zustand: New. We live in a world of big data: the amount of information collected on human behavior each day is staggering, and exponentially greater than at any time in the past. Additionally, powerful algorithms are capable of churning through seas of data to uncover patterns. Providing a simple and accessible introduction to data mining, Paul Attewell and David B. Monaghan discuss how data mining substantially differs from conventional statistical modeling familiar to most social scientists. The authors also empower social scientists to tap into these new resources and incorporate data mining methodologies in their analytical toolkits. Data Mining for the Social Sciences demystifies the process by describing the diverse set of techniques available, discussing the strengths and weaknesses of various approaches, and giving practical demonstrations of how to carry out analyses using tools in various statistical software packages.…

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Paperback. Zustand: New. We live in a world of big data: the amount of information collected on human behavior each day is staggering, and exponentially greater than at any time in the past. Additionally, powerful algorithms are capable of churning through seas of data to uncover patterns. Providing a simple and accessible introduction to data mining, Paul Attewell and David B. Monaghan discuss how data mining substantially differs from conventional statistical modeling familiar to most social scientists. The authors also empower social scientists to tap into these new resources and incorporate data mining methodologies in their analytical toolkits. Data Mining for the Social Sciences demystifies the process by describing the diverse set of techniques available, discussing the strengths and weaknesses of various approaches, and giving practical demonstrations of how to carry out analyses using tools in various statistical software packages.…

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Zustand: New. We live in a world of big data: the amount of information collected on human behavior each day is staggering, and exponentially greater than at any time in the past. Providing an introduction to data mining, the authors discuss how data mining substantially differs from conventional statistical modeling familiar to most social scientists. Num Pages: 264 pages, illustrations. BIC Classification: JHBC; UNF. Category: (G) General (US: Trade). Dimension: 180 x 253 x 18. Weight in Grams: 570. . 2015. Paperback. . . . .…

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Paperback. Zustand: new. Paperback. We live in a world of big data: the amount of information collected on human behavior each day is staggering, and exponentially greater than at any time in the past. Additionally, powerful algorithms are capable of churning through seas of data to uncover patterns. Providing a simple and accessible introduction to data mining, Paul Attewell and David B. Monaghan discuss how data mining substantially differs from conventional statistical modeling familiar to most social scientists. The authors also empower social scientists to tap into these new resources and incorporate data mining methodologies in their analytical toolkits. Data Mining for the Social Sciences demystifies the process by describing the diverse set of techniques available, discussing the strengths and weaknesses of various approaches, and giving practical demonstrations of how to carry out analyses using tools in various statistical software packages. We live in a world of big data: the amount of information collected on human behavior each day is staggering, and exponentially greater than at any time in the past. Providing an introduction to data mining, the authors discuss how data mining substantially differs from conventional statistical modeling familiar to most social scientists. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Zustand: New. We live in a world of big data: the amount of information collected on human behavior each day is staggering, and exponentially greater than at any time in the past. Providing an introduction to data mining, the authors discuss how data mining substantially differs from conventional statistical modeling familiar to most social scientists. Num Pages: 264 pages, illustrations. BIC Classification: JHBC; UNF. Category: (G) General (US: Trade). Dimension: 180 x 253 x 18. Weight in Grams: 570. . 2015. Paperback. . . . . Books ship from the US and Ireland.…

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Paperback. Zustand: New. We live in a world of big data: the amount of information collected on human behavior each day is staggering, and exponentially greater than at any time in the past. Additionally, powerful algorithms are capable of churning through seas of data to uncover patterns. Providing a simple and accessible introduction to data mining, Paul Attewell and David B. Monaghan discuss how data mining substantially differs from conventional statistical modeling familiar to most social scientists. The authors also empower social scientists to tap into these new resources and incorporate data mining methodologies in their analytical toolkits. Data Mining for the Social Sciences demystifies the process by describing the diverse set of techniques available, discussing the strengths and weaknesses of various approaches, and giving practical demonstrations of how to carry out analyses using tools in various statistical software packages.…

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Zustand: New. We live in a world of big data: the amount of information collected on human behavior each day is staggering, and exponentially greater than at any time in the past. Providing an introduction to data mining, the authors discuss how data mining substantially.

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Taschenbuch. Zustand: Neu. Neuware - We live in a world of big data: the amount of information collected on human behavior each day is staggering, and exponentially greater than at any time in the past. Providing an introduction to data mining, the authors discuss how data mining substantially differs from conventional statistical modeling familiar to most social scientists.…

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Paperback. Zustand: new. Paperback. We live in a world of big data: the amount of information collected on human behavior each day is staggering, and exponentially greater than at any time in the past. Additionally, powerful algorithms are capable of churning through seas of data to uncover patterns. Providing a simple and accessible introduction to data mining, Paul Attewell and David B. Monaghan discuss how data mining substantially differs from conventional statistical modeling familiar to most social scientists. The authors also empower social scientists to tap into these new resources and incorporate data mining methodologies in their analytical toolkits. Data Mining for the Social Sciences demystifies the process by describing the diverse set of techniques available, discussing the strengths and weaknesses of various approaches, and giving practical demonstrations of how to carry out analyses using tools in various statistical software packages. We live in a world of big data: the amount of information collected on human behavior each day is staggering, and exponentially greater than at any time in the past. Providing an introduction to data mining, the authors discuss how data mining substantially differs from conventional statistical modeling familiar to most social scientists. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

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Paperback. Zustand: New. We live in a world of big data: the amount of information collected on human behavior each day is staggering, and exponentially greater than at any time in the past. Additionally, powerful algorithms are capable of churning through seas of data to uncover patterns. Providing a simple and accessible introduction to data mining, Paul Attewell and David B. Monaghan discuss how data mining substantially differs from conventional statistical modeling familiar to most social scientists. The authors also empower social scientists to tap into these new resources and incorporate data mining methodologies in their analytical toolkits. Data Mining for the Social Sciences demystifies the process by describing the diverse set of techniques available, discussing the strengths and weaknesses of various approaches, and giving practical demonstrations of how to carry out analyses using tools in various statistical software packages.…

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