國立虎尾科技大學 |

Mining over air = wireless communication networks analytics /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Mining over air/ by Ye Ouyang ... [et al.].
Reminder of title:	wireless communication networks analytics /
other author:	Ouyang, Ye.
Published:	Cham :Springer International Publishing : : 2018.,
Description:	xi, 196 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Data mining. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-92312-3
ISBN:	9783319923123

Mining over air = wireless communication networks analytics /
Mining over airwireless communication networks analytics /[electronic resource] :by Ye Ouyang ... [et al.]. - Cham :Springer International Publishing :2018. - xi, 196 p. :ill., digital ;24 cm.

Wireless Networks -- Artificial Intelligence -- Big Data -- Machine Learning -- Long Term Evolution (LTE) -- The 5th Generation (5G) -- Self-Organizing Networks (SON) -- Quality of Experience (QoE) -- Network Performance -- Data Analytics.

This book introduces the concepts, applications and development of data science in the telecommunications industry by focusing on advanced machine learning and data mining methodologies in the wireless networks domain. Mining Over Air describes the problems and their solutions for wireless network performance and quality, device quality readiness and returns analytics, wireless resource usage profiling, network traffic anomaly detection, intelligence-based self-organizing networks, telecom marketing, social influence, and other important applications in the telecom industry. Written by authors who study big data analytics in wireless networks and telecommunication markets from both industrial and academic perspectives, the book targets the pain points in telecommunication networks and markets through big data. Designed for both practitioners and researchers, the book explores the intersection between the development of new engineering technology and uses data from the industry to understand consumer behavior. It combines engineering savvy with insights about human behavior. Engineers will understand how the data generated from the technology can be used to understand the consumer behavior and social scientists will get a better understanding of the data generation process.

ISBN: 9783319923123

Standard No.: 10.1007/978-3-319-92312-3doiSubjects--Topical Terms:

528622
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Mining over air = wireless communication networks analytics /
LDR:02478nam a2200313 a 4500 001 927627
003 DE-He213
005 20180727121854.0
006 m d
007 cr nn 008maaau
008 190626s2018 gw s 0 eng d
020 $a 9783319923123 $q (electronic bk.)
020 $a 9783319923116 $q (paper)
024 7 $a 10.1007/978-3-319-92312-3 $2 doi
035 $a 978-3-319-92312-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D343
072 7 $a UKN $2 bicssc
072 7 $a COM075000 $2 bisacsh
082 0 4 $a 006.312 $2 23
090 $a QA76.9.D343 $b M665 2018
245 0 0 $a Mining over air $h [electronic resource] : $b wireless communication networks analytics / $c by Ye Ouyang ... [et al.].
260 $a Cham : $c 2018. $b Springer International Publishing : $b Imprint: Springer,
300 $a xi, 196 p. : $b ill., digital ; $c 24 cm.
505 0 $a Wireless Networks -- Artificial Intelligence -- Big Data -- Machine Learning -- Long Term Evolution (LTE) -- The 5th Generation (5G) -- Self-Organizing Networks (SON) -- Quality of Experience (QoE) -- Network Performance -- Data Analytics.
520 $a This book introduces the concepts, applications and development of data science in the telecommunications industry by focusing on advanced machine learning and data mining methodologies in the wireless networks domain. Mining Over Air describes the problems and their solutions for wireless network performance and quality, device quality readiness and returns analytics, wireless resource usage profiling, network traffic anomaly detection, intelligence-based self-organizing networks, telecom marketing, social influence, and other important applications in the telecom industry. Written by authors who study big data analytics in wireless networks and telecommunication markets from both industrial and academic perspectives, the book targets the pain points in telecommunication networks and markets through big data. Designed for both practitioners and researchers, the book explores the intersection between the development of new engineering technology and uses data from the industry to understand consumer behavior. It combines engineering savvy with insights about human behavior. Engineers will understand how the data generated from the technology can be used to understand the consumer behavior and social scientists will get a better understanding of the data generation process.
650 0 $a Data mining. $3 528622
650 0 $a Wireless communication systems. $3 562740
650 1 4 $a Computer Science. $3 593922
650 2 4 $a Computer Communication Networks. $3 669310
650 2 4 $a Data Mining and Knowledge Discovery. $3 677765
650 2 4 $a Algorithm Analysis and Problem Complexity. $3 593923
700 1 $a Ouyang, Ye. $3 1207056
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-92312-3
950 $a Computer Science (Springer-11645)