LEADER 03962nam 22005895 450 001 9910484809103321 005 20251230054932.0 010 $a3-030-37309-6 024 7 $a10.1007/978-3-030-37309-2 035 $a(CKB)4100000010122039 035 $a(MiAaPQ)EBC6032996 035 $a(DE-He213)978-3-030-37309-2 035 $a(PPN)243771487 035 $a(EXLCZ)994100000010122039 100 $a20200128d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData Science: From Research to Application /$fedited by Mahdi Bohlouli, Bahram Sadeghi Bigham, Zahra Narimani, Mahdi Vasighi, Ebrahim Ansari 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (350 pages) 225 1 $aLecture Notes on Data Engineering and Communications Technologies,$x2367-4520 ;$v45 300 $aIncludes index. 311 08$a3-030-37308-8 327 $aEfficient 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. 330 $aThis book presents outstanding theoretical and practical findings in data science and associated interdisciplinary areas. Its main goal is to explore how data science research can revolutionize society and industries in a positive way, drawing on pure research to do so. The topics covered range from pure data science to fake news detection, as well as Internet of Things in the context of Industry 4.0. Data science is a rapidly growing field and, as a profession, incorporates a wide variety of areas, from statistics, mathematics and machine learning, to applied big data analytics. According to Forbes magazine, ?Data Science? was listed as LinkedIn?s fastest-growing job in 2017. This book presents selected papers from the International Conference on Contemporary Issues in Data Science (CiDaS 2019), a professional data science event that provided a real workshop (not ?listen-shop?) where scientists and scholars had the chance to shareideas, form new collaborations, and brainstorm on major challenges; and where industry experts could catch up on emerging solutions to help solve their concrete data science problems. Given its scope, the book will benefit not only data scientists and scientists from other domains, but also industry experts, policymakers and politicians. 410 0$aLecture Notes on Data Engineering and Communications Technologies,$x2367-4520 ;$v45 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a005.7 676 $a005.7 702 $aBohlouli$b Mahdi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSadeghi Bigham$b Bahram$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aNarimani$b Zahra$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVasighi$b Mahdi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aAnsari$b Ebrahim$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484809103321 996 $aData Science: From Research to Application$92845773 997 $aUNINA