大葉大學圖書館 |

Predictive analytics, data mining and big data :myths, misconceptions and methods /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	658.8/3402856312
書名/作者:	Predictive analytics, data mining and big data : : myths, misconceptions and methods // by Steven Finlay.
作者:	Finlay, Steven,
面頁冊數:	1 online resource.
標題:	Big data.
標題:	Business planning - Data processing.
標題:	Consumer behavior - Forecasting.
標題:	Consumer profiling.
標題:	Data mining.
標題:	Decision making - Data processing.
標題:	Management - Data processing.
標題:	BUSINESS & ECONOMICS / Consumer Behavior.
標題:	BUSINESS & ECONOMICS / Development / General.
標題:	BUSINESS & ECONOMICS / Knowledge Capital.
標題:	BUSINESS & ECONOMICS / Marketing / Research.
標題:	BUSINESS & ECONOMICS / Strategic Planning.
ISBN:	1137379286 (electronic bk.)
ISBN:	9781137379283 (electronic bk.)
內容註:	1. Introduction -- 2. Using Predictive Models -- 3. Analytics, Organization and Culture -- 4. The Value of Data -- 5. Ethics and Legislation -- 6. Types of Predictive Models -- 7. The Predictive Analytics Process -- 8. How to Build a Predictive Model -- 9. Text Mining and Social Network Analysis -- 10. Hardware, Software and All That Jazz.
摘要、提要註:	"Predictive analytics, big data, and data mining are key topics for organizations who want to leverage the ever increasing amounts of data that organizations hold about their customers and other individuals. This in-depth guide provides readers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, the pitfalls and dangers, and a contextual road map for developing solutions that deliver benefits to their organizations. Written in an accessible way, this 'how-to-guide' will help managers to make the most of these technologies in their business area"--
電子資源:	http://www.palgraveconnect.com/doifinder/10.1057/9781137379283

Predictive analytics, data mining and big data :myths, misconceptions and methods /
Finlay, Steven,1969-

Predictive analytics, data mining and big data :myths, misconceptions and methods /by Steven Finlay. - 1 online resource.

1. Introduction -- 2. Using Predictive Models -- 3. Analytics, Organization and Culture -- 4. The Value of Data -- 5. Ethics and Legislation -- 6. Types of Predictive Models -- 7. The Predictive Analytics Process -- 8. How to Build a Predictive Model -- 9. Text Mining and Social Network Analysis -- 10. Hardware, Software and All That Jazz.

"Predictive analytics, big data, and data mining are key topics for organizations who want to leverage the ever increasing amounts of data that organizations hold about their customers and other individuals. This in-depth guide provides readers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, the pitfalls and dangers, and a contextual road map for developing solutions that deliver benefits to their organizations. Written in an accessible way, this 'how-to-guide' will help managers to make the most of these technologies in their business area"--

ISBN: 1137379286 (electronic bk.)

Source: 711154Palgrave Macmillanhttp://www.palgraveconnect.comSubjects--Topical Terms:

571002
Big data.
Index Terms--Genre/Form:

336502
Electronic books.

LC Class. No.: HF5415.32 / .F56 2014

Dewey Class. No.: 658.8/3402856312

Predictive analytics, data mining and big data :myths, misconceptions and methods /
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245 1 0 $a Predictive analytics, data mining and big data : $b myths, misconceptions and methods / $c by Steven Finlay.
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505 0 $a 1. Introduction -- 2. Using Predictive Models -- 3. Analytics, Organization and Culture -- 4. The Value of Data -- 5. Ethics and Legislation -- 6. Types of Predictive Models -- 7. The Predictive Analytics Process -- 8. How to Build a Predictive Model -- 9. Text Mining and Social Network Analysis -- 10. Hardware, Software and All That Jazz.
520 $a "Predictive analytics, big data, and data mining are key topics for organizations who want to leverage the ever increasing amounts of data that organizations hold about their customers and other individuals. This in-depth guide provides readers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, the pitfalls and dangers, and a contextual road map for developing solutions that deliver benefits to their organizations. Written in an accessible way, this 'how-to-guide' will help managers to make the most of these technologies in their business area"-- $c Provided by publisher.
588 $a Description based on print version record.
650 0 $a Big data. $3 571002
650 0 $a Business planning $x Data processing. $3 577965
650 0 $a Consumer behavior $x Forecasting. $3 477929
650 0 $a Consumer profiling. $3 464847
650 0 $a Data mining. $3 337740
650 0 $a Decision making $x Data processing. $3 341470
650 0 $a Management $x Data processing. $3 338523
650 7 $a BUSINESS & ECONOMICS / Consumer Behavior. $2 bisacsh $3 472364
650 7 $a BUSINESS & ECONOMICS / Development / General. $2 bisacsh $3 477186
650 7 $a BUSINESS & ECONOMICS / Knowledge Capital. $2 bisacsh $3 472252
650 7 $a BUSINESS & ECONOMICS / Marketing / Research. $2 bisacsh $3 551209
650 7 $a BUSINESS & ECONOMICS / Strategic Planning. $2 bisacsh $3 472218
655 7 $a Electronic books. $2 local $3 336502
710 2 $a Palgrave Connect (Online service) $3 370384
776 0 8 $i Print version: $a Finlay, Steven, 1969- $t Predictive analytics, data mining and big data $z 9781137379276 $w (DLC) 2014019747 $w (OCoLC)873985165
856 4 0 $3 Palgrave Connect $u http://www.palgraveconnect.com/doifinder/10.1057/9781137379283