東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Mobile data mining and applications

Jiang, Hao.

FindBook

Google Book

Amazon

博客來

Mobile data mining and applications

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Mobile data mining and applications/ by Hao Jiang ... [et al.].
其他作者:	Jiang, Hao.
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	x, 227 p. :ill., digital ;24 cm.
內容註:	Chapter1: Introduction -- Chapter2: Mobile Data Processing and Feature Discovery -- Chapter3: Mobile Data Application in Wireless Communication -- Chapter4: Mobile Data Application in Mobile Network -- Chapter5: Mobile Data Application in Smart City -- Chapter6: Conclusion, Remarks and Future Directions.
Contained By:	Springer eBooks
標題:	Data mining. -
電子資源:	https://doi.org/10.1007/978-3-030-16503-1
ISBN:	9783030165031

Mobile data mining and applications
Mobile data mining and applications[electronic resource] /by Hao Jiang ... [et al.]. - Cham :Springer International Publishing :2019. - x, 227 p. :ill., digital ;24 cm. - Information fusion and data science,2510-1528. - Information fusion and data science..

Chapter1: Introduction -- Chapter2: Mobile Data Processing and Feature Discovery -- Chapter3: Mobile Data Application in Wireless Communication -- Chapter4: Mobile Data Application in Mobile Network -- Chapter5: Mobile Data Application in Smart City -- Chapter6: Conclusion, Remarks and Future Directions.

This book focuses on mobile data and its applications in the wireless networks of the future. Several topics form the basis of discussion, from a mobile data mining platform for collecting mobile data, to mobile data processing, and mobile feature discovery. Usage of mobile data mining is addressed in the context of three applications: wireless communication optimization, applications of mobile data mining on the cellular networks of the future, and how mobile data shapes future cities. In the discussion of wireless communication optimization, both licensed and unlicensed spectra are exploited. Advanced topics include mobile offloading, resource sharing, user association, network selection and network coexistence. Mathematical tools, such as traditional convexappl/non-convex, stochastic processing and game theory are used to find objective solutions. Discussion of the applications of mobile data mining to cellular networks of the future includes topics such as green communication networks, 5G networks, and studies of the problems of cell zooming, power control, sleep/wake, and energy saving. The discussion of mobile data mining in the context of smart cities of the future covers applications in urban planning and environmental monitoring: the technologies of deep learning, neural networks, complex networks, and network embedded data mining. Mobile Data Mining and Applications will be of interest to wireless operators, companies, governments as well as interested end users.

ISBN: 9783030165031

Standard No.: 10.1007/978-3-030-16503-1doiSubjects--Topical Terms:

562972
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Mobile data mining and applications
LDR:02808nmm a2200337 a 4500 001 2191382
003 DE-He213
005 20191025163102.0
006 m d
007 cr nn 008maaau
008 200504s2019 gw s 0 eng d
020 $a 9783030165031 $q (electronic bk.)
020 $a 9783030165024 $q (paper)
024 7 $a 10.1007/978-3-030-16503-1 $2 doi
035 $a 978-3-030-16503-1
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D343
072 7 $a TJKW $2 bicssc
072 7 $a TEC061000 $2 bisacsh
072 7 $a TJKW $2 thema
082 0 4 $a 006.312 $2 23
090 $a QA76.9.D343 $b M687 2019
245 0 0 $a Mobile data mining and applications $h [electronic resource] / $c by Hao Jiang ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a x, 227 p. : $b ill., digital ; $c 24 cm.
490 1 $a Information fusion and data science, $x 2510-1528
505 0 $a Chapter1: Introduction -- Chapter2: Mobile Data Processing and Feature Discovery -- Chapter3: Mobile Data Application in Wireless Communication -- Chapter4: Mobile Data Application in Mobile Network -- Chapter5: Mobile Data Application in Smart City -- Chapter6: Conclusion, Remarks and Future Directions.
520 $a This book focuses on mobile data and its applications in the wireless networks of the future. Several topics form the basis of discussion, from a mobile data mining platform for collecting mobile data, to mobile data processing, and mobile feature discovery. Usage of mobile data mining is addressed in the context of three applications: wireless communication optimization, applications of mobile data mining on the cellular networks of the future, and how mobile data shapes future cities. In the discussion of wireless communication optimization, both licensed and unlicensed spectra are exploited. Advanced topics include mobile offloading, resource sharing, user association, network selection and network coexistence. Mathematical tools, such as traditional convexappl/non-convex, stochastic processing and game theory are used to find objective solutions. Discussion of the applications of mobile data mining to cellular networks of the future includes topics such as green communication networks, 5G networks, and studies of the problems of cell zooming, power control, sleep/wake, and energy saving. The discussion of mobile data mining in the context of smart cities of the future covers applications in urban planning and environmental monitoring: the technologies of deep learning, neural networks, complex networks, and network embedded data mining. Mobile Data Mining and Applications will be of interest to wireless operators, companies, governments as well as interested end users.
650 0 $a Data mining. $3 562972
650 1 4 $a Wireless and Mobile Communication. $3 3338159
650 2 4 $a Data-driven Science, Modeling and Theory Building. $3 2210495
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
650 2 4 $a Communications Engineering, Networks. $3 891094
650 2 4 $a Mobile Computing. $3 3201332
650 2 4 $a Urban Geography / Urbanism (inc. megacities, cities, towns) $3 2068266
700 1 $a Jiang, Hao. $3 2095841
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Information fusion and data science. $3 3386285
856 4 0 $u https://doi.org/10.1007/978-3-030-16503-1
950 $a Engineering (Springer-11647)