大葉大學圖書館 |

登入

回首頁

Utilizing big data paradigms for bus...

Darmont, Jérôme, (1972-)

Utilizing big data paradigms for business intelligence[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	658.4/72028557
書名/作者:	Utilizing big data paradigms for business intelligence/ Jerome Darmont and Sabine Loudcher, editors.
其他作者:	Darmont, Jérôme,
出版者:	Hershey, Pennsylvania : : IGI Global,, [2018]
面頁冊數:	1 online resource (xxii, 313 p.)
附註:	Includes index.
標題:	Business intelligence - Data processing.
標題:	Big data.
ISBN:	9781522549642 (ebook)
ISBN:	9781522549635 (hardback)
書目註:	Includes bibliographical references and index.
內容註:	Chapter 1. Applications of artificial intelligence in the realm of business intelligence -- Chapter 2. A big data platform for enhancing life imaging activities -- Chapter 3. A Survey of parallel indexing techniques for large-scale moving object databases -- Chapter 4. Privacy and security in data-driven urban mobility -- Chapter 5. C-idea: a fast algorithm for computing emerging closed datacubes -- Chapter 6. Large multivariate time series forecasting: Survey on methods and scalability -- Chapter 7. Exploring multiple dynamic social networks in computer-mediated communications: an experimentally validated ecosystem -- Chapter 8. Analysis of operation performance of blast furnace with machine learning methods.
摘要、提要註:	"This book explores problems related to the five "Vs" of big data, technological issues, as well as big data analytics applications. It also covers how data must be extracted, grouped, organized, aggregated and correlated with methods and techniques such as data integration (ETL), data warehousing, online analytical processing (OLAP), reporting, data mining and machine learning"--Provided by publisher.
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-4963-5

Utilizing big data paradigms for business intelligence[electronic resource] /
Utilizing big data paradigms for business intelligence[electronic resource] /Jerome Darmont and Sabine Loudcher, editors. - Hershey, Pennsylvania :IGI Global,[2018] - 1 online resource (xxii, 313 p.)

Includes index.

Includes bibliographical references and index.

Chapter 1. Applications of artificial intelligence in the realm of business intelligence -- Chapter 2. A big data platform for enhancing life imaging activities -- Chapter 3. A Survey of parallel indexing techniques for large-scale moving object databases -- Chapter 4. Privacy and security in data-driven urban mobility -- Chapter 5. C-idea: a fast algorithm for computing emerging closed datacubes -- Chapter 6. Large multivariate time series forecasting: Survey on methods and scalability -- Chapter 7. Exploring multiple dynamic social networks in computer-mediated communications: an experimentally validated ecosystem -- Chapter 8. Analysis of operation performance of blast furnace with machine learning methods.

Restricted to subscribers or individual electronic text purchasers.

"This book explores problems related to the five "Vs" of big data, technological issues, as well as big data analytics applications. It also covers how data must be extracted, grouped, organized, aggregated and correlated with methods and techniques such as data integration (ETL), data warehousing, online analytical processing (OLAP), reporting, data mining and machine learning"--Provided by publisher.

ISBN: 9781522549642 (ebook)Subjects--Topical Terms:

339014
Business intelligence
--Data processing.

LC Class. No.: HD38.7 / .U75 2018e

Dewey Class. No.: 658.4/72028557

Utilizing big data paradigms for business intelligence[electronic resource] /
LDR:02146nmm a2200289 a 4500 001 513089
003 IGIG
005 20191022153745.0
006 m o d
007 cr cn
008 210929s2018 pau fob 001 0 eng d
010 $z 2017032931
020 $a 9781522549642 (ebook)
020 $a 9781522549635 (hardback)
035 $a (OCoLC)1045082196
035 $a 1081021177
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
050 0 0 $a HD38.7 $b .U75 2018e
082 0 0 $a 658.4/72028557 $2 23
245 0 0 $a Utilizing big data paradigms for business intelligence $h [electronic resource] / $c Jerome Darmont and Sabine Loudcher, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c [2018]
300 $a 1 online resource (xxii, 313 p.)
500 $a Includes index.
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Applications of artificial intelligence in the realm of business intelligence -- Chapter 2. A big data platform for enhancing life imaging activities -- Chapter 3. A Survey of parallel indexing techniques for large-scale moving object databases -- Chapter 4. Privacy and security in data-driven urban mobility -- Chapter 5. C-idea: a fast algorithm for computing emerging closed datacubes -- Chapter 6. Large multivariate time series forecasting: Survey on methods and scalability -- Chapter 7. Exploring multiple dynamic social networks in computer-mediated communications: an experimentally validated ecosystem -- Chapter 8. Analysis of operation performance of blast furnace with machine learning methods.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book explores problems related to the five "Vs" of big data, technological issues, as well as big data analytics applications. It also covers how data must be extracted, grouped, organized, aggregated and correlated with methods and techniques such as data integration (ETL), data warehousing, online analytical processing (OLAP), reporting, data mining and machine learning"--Provided by publisher.
650 0 $a Business intelligence $x Data processing. $3 339014
650 0 $a Big data. $3 571002
700 1 $a Darmont, Jérôme, $d 1972- $e editor. $3 734329
700 1 $a Loudcher, Sabine, $d 1969- $e editor. $3 734330
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-4963-5

筆 0 讀者評論

多媒體

多媒體檔案
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-4963-5

評論

新增評論分享你的心得

Export

取書館別