東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Data science = from research to appl...

Bohlouli, Mahdi.

Linked to FindBook

Google Book

Amazon

博客來

Data science = from research to application /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data science/ edited by Mahdi Bohlouli ... [et al.].
Reminder of title:	from research to application /
other author:	Bohlouli, Mahdi.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xi, 338 p. :ill., digital ;24 cm.
[NT 15003449]:	Efficient Cluster Head Selection using the Non-Linear Programming Method for Wireless Sensor Networks -- A New Distributed Ensemble Method with Applications to Machine Learning -- Forecasting Multivariate Time-Series Data Using LSTM and Mini-Batches -- Forecasting of Customer Behavior using Time Series Analysis -- Using Augmented Genetic Algorithm for Search-Based Software Testing -- A Novel Topological Descriptor for ASL -- Extracting Cellphone users' Stay Locations by Multiple-Steps Clustering Approach.
Contained By:	Springer eBooks
Subject:	Big data. -
Online resource:	https://doi.org/10.1007/978-3-030-37309-2
ISBN:	9783030373092

Data science = from research to application /
Data sciencefrom research to application /[electronic resource] :edited by Mahdi Bohlouli ... [et al.]. - Cham :Springer International Publishing :2020. - xi, 338 p. :ill., digital ;24 cm. - Lecture notes on data engineering and communications technologies,v.452367-4512 ;. - Lecture notes on data engineering and communications technologies ;v.45..

Efficient Cluster Head Selection using the Non-Linear Programming Method for Wireless Sensor Networks -- A New Distributed Ensemble Method with Applications to Machine Learning -- Forecasting Multivariate Time-Series Data Using LSTM and Mini-Batches -- Forecasting of Customer Behavior using Time Series Analysis -- Using Augmented Genetic Algorithm for Search-Based Software Testing -- A Novel Topological Descriptor for ASL -- Extracting Cellphone users' Stay Locations by Multiple-Steps Clustering Approach.

This book presents outstanding theoretical and practical findings in data science and associated interdisciplinary areas. Its main goal is to explore how data science research can revolutionize society and industries in a positive way, drawing on pure research to do so. The topics covered range from pure data science to fake news detection, as well as Internet of Things in the context of Industry 4.0. Data science is a rapidly growing field and, as a profession, incorporates a wide variety of areas, from statistics, mathematics and machine learning, to applied big data analytics. According to Forbes magazine, "Data Science" was listed as LinkedIn's fastest-growing job in 2017. This book presents selected papers from the International Conference on Contemporary Issues in Data Science (CiDaS 2019), a professional data science event that provided a real workshop (not "listen-shop") where scientists and scholars had the chance to share ideas, form new collaborations, and brainstorm on major challenges; and where industry experts could catch up on emerging solutions to help solve their concrete data science problems. Given its scope, the book will benefit not only data scientists and scientists from other domains, but also industry experts, policymakers and politicians.

ISBN: 9783030373092

Standard No.: 10.1007/978-3-030-37309-2doiSubjects--Topical Terms:

2045508
Big data.

LC Class. No.: QA76.9.B45 / D383 2020

Dewey Class. No.: 005.7

Data science = from research to application /
LDR:02892nmm a2200337 a 4500 001 2215715
003 DE-He213
005 20200623094828.0
006 m d
007 cr nn 008maaau
008 201120s2020 sz s 0 eng d
020 $a 9783030373092 $q (electronic bk.)
020 $a 9783030373085 $q (paper)
024 7 $a 10.1007/978-3-030-37309-2 $2 doi
035 $a 978-3-030-37309-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.B45 $b D383 2020
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 005.7 $2 23
090 $a QA76.9.B45 $b D232 2020
245 0 0 $a Data science $h [electronic resource] : $b from research to application / $c edited by Mahdi Bohlouli ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xi, 338 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes on data engineering and communications technologies, $x 2367-4512 ; $v v.45
505 0 $a Efficient Cluster Head Selection using the Non-Linear Programming Method for Wireless Sensor Networks -- A New Distributed Ensemble Method with Applications to Machine Learning -- Forecasting Multivariate Time-Series Data Using LSTM and Mini-Batches -- Forecasting of Customer Behavior using Time Series Analysis -- Using Augmented Genetic Algorithm for Search-Based Software Testing -- A Novel Topological Descriptor for ASL -- Extracting Cellphone users' Stay Locations by Multiple-Steps Clustering Approach.
520 $a This book presents outstanding theoretical and practical findings in data science and associated interdisciplinary areas. Its main goal is to explore how data science research can revolutionize society and industries in a positive way, drawing on pure research to do so. The topics covered range from pure data science to fake news detection, as well as Internet of Things in the context of Industry 4.0. Data science is a rapidly growing field and, as a profession, incorporates a wide variety of areas, from statistics, mathematics and machine learning, to applied big data analytics. According to Forbes magazine, "Data Science" was listed as LinkedIn's fastest-growing job in 2017. This book presents selected papers from the International Conference on Contemporary Issues in Data Science (CiDaS 2019), a professional data science event that provided a real workshop (not "listen-shop") where scientists and scholars had the chance to share ideas, form new collaborations, and brainstorm on major challenges; and where industry experts could catch up on emerging solutions to help solve their concrete data science problems. Given its scope, the book will benefit not only data scientists and scientists from other domains, but also industry experts, policymakers and politicians.
650 0 $a Big data. $3 2045508
650 0 $a Machine learning. $3 533906
650 0 $a Data mining. $3 562972
650 0 $a Quantitative research. $3 919734
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Bohlouli, Mahdi. $3 3447472
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Lecture notes on data engineering and communications technologies ; $v v.45. $3 3447473
856 4 0 $u https://doi.org/10.1007/978-3-030-37309-2
950 $a Intelligent Technologies and Robotics (Springer-42732)