國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Mobile big data

Cheng, Xiang.

Mobile big data

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Mobile big databy Xiang Cheng ... [et al.].
其他作者:	Cheng, Xiang.
出版者:	Cham :Springer International Publishing :2018.
面頁冊數:	xii, 125 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Big data.
電子資源:	http://dx.doi.org/10.1007/978-3-319-96116-3
ISBN:	9783319961163$q(electronic bk.)

Mobile big data
Mobile big data[electronic resource] /by Xiang Cheng ... [et al.]. - Cham :Springer International Publishing :2018. - xii, 125 p. :ill., digital ;24 cm. - Wireless networks,2366-1186. - Wireless networks..

1 Mobile Big Data -- 2 Source and Collection -- 3 Transmission -- 4 Computing -- 5 Applications -- 6 Case Study: Demand Forecasting for Predictive Network Managements -- 7 Case Study: User Identification for Mobile Privacy.

This book provides a comprehensive picture of mobile big data starting from data sources to mobile data driven applications. Mobile Big Data comprises two main components: an overview of mobile big data, and the case studies based on real-world data recently collected by one of the largest mobile network carriers in China. In the first component, four areas of mobile big data life cycle are surveyed: data source and collection, transmission, computing platform and applications. In the second component, two case studies are provided, based on the signaling data collected in the cellular core network in terms of subscriber privacy evaluation and demand forecasting for network management. These cases respectively give a vivid demonstration of what mobile big data looks like, and how it can be analyzed and mined to generate useful and meaningful information and knowledge. This book targets researchers, practitioners and professors relevant to this field. Advanced-level students studying computer science and electrical engineering will also be interested in this book as supplemental reading.

ISBN: 9783319961163$q(electronic bk.)

Standard No.: 10.1007/978-3-319-96116-3doiSubjects--Topical Terms:

609582
Big data.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

Mobile big data
LDR:02272nmm a2200325 a 4500 001 543660
003 DE-He213
005 20180823165520.0
006 m d
007 cr nn 008maaau
008 190430s2018 gw s 0 eng d
020 $a 9783319961163$q(electronic bk.)
020 $a 9783319961156$q(paper)
024 7 $a 10.1007/978-3-319-96116-3 $2 doi
035 $a 978-3-319-96116-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.B45
072 7 $a UKN $2 bicssc
072 7 $a COM075000 $2 bisacsh
082 0 4 $a 005.7 $2 23
090 $a QA76.9.B45 $b M687 2018
245 0 0 $a Mobile big data $h [electronic resource] / $c by Xiang Cheng ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xii, 125 p. : $b ill., digital ; $c 24 cm.
490 1 $a Wireless networks, $x 2366-1186
505 0 $a 1 Mobile Big Data -- 2 Source and Collection -- 3 Transmission -- 4 Computing -- 5 Applications -- 6 Case Study: Demand Forecasting for Predictive Network Managements -- 7 Case Study: User Identification for Mobile Privacy.
520 $a This book provides a comprehensive picture of mobile big data starting from data sources to mobile data driven applications. Mobile Big Data comprises two main components: an overview of mobile big data, and the case studies based on real-world data recently collected by one of the largest mobile network carriers in China. In the first component, four areas of mobile big data life cycle are surveyed: data source and collection, transmission, computing platform and applications. In the second component, two case studies are provided, based on the signaling data collected in the cellular core network in terms of subscriber privacy evaluation and demand forecasting for network management. These cases respectively give a vivid demonstration of what mobile big data looks like, and how it can be analyzed and mined to generate useful and meaningful information and knowledge. This book targets researchers, practitioners and professors relevant to this field. Advanced-level students studying computer science and electrical engineering will also be interested in this book as supplemental reading.
650 0 $a Big data. $3 609582
650 0 $a Mobile computing. $3 185560
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Computer Communication Networks. $3 218087
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Communications Engineering, Networks. $3 273745
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
700 1 $a Cheng, Xiang. $3 750050
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Wireless networks. $3 731203
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-96116-3
950 $a Computer Science (Springer-11645)