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010   $a3-319-60255-1
024 7 $a10.1007/978-3-319-60255-4
035   $a(CKB)3710000001630969
035   $a(MiAaPQ)EBC4982837
035   $a(DE-He213)978-3-319-60255-4
035   $a(PPN)203852257
035   $a(EXLCZ)993710000001630969
100   $a20170822d2018      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $2rdacontent
182   $2rdamedia
183   $2rdacarrier
200 10$aHighlighting the Importance of Big Data Management and Analysis for Various Applications /$fedited by Mohammad Moshirpour, Behrouz Far, Reda Alhajj
205   $a1st ed. 2018.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018.
215   $a1 online resource (161 pages)
225 1 $aStudies in Big Data,$x2197-6511 ;$v27
311 08$a3-319-60254-3 
320   $aIncludes bibliographical references and index.
327   $aChapter 1. Big data analytics of social network data: Who cares most about you on Facebook? -- Chapter 2. Characterizing and Predicting Yelp Users' Behavior Composite Visualization Features in -- Chapter 3. PEVNET: A Framework for Visualization of Criminal Networks -- Chapter 4. Effective Customer Relationship Managment at ATB Financial A Case Study on Industry-Academia Collaboration in Data Analytics -- Chapter 5. Effective Personnel Selection and Team Building using Intelligent Data Analytics -- Chapter 6. Extracting Relevant Information from Big Data to Anticipate Forced Migration -- Chapter 7. Implicit Social Networks for Social Recommendation of Scholarly Papers -- Chapter 8. The Effect of Corpora Size on Performance of Named Entity Recognition -- Chapter 9. Time Series Analysis for the most Frequently Mentioned Biomarkers in Breast Cancer Articles -- Chapter 10. Transportation Engineering on Social Question and Answer Websites: An Empirical Case Study -- Chapter 11. Understanding Health Service Delivery Using Spatio-Temporal Patient Mobility Data -- Chapter 12. WaterVis: GeoVisual Analytics for Exploring Hydrological Data.
330   $aThis book addresses the impacts of various types of services such as infrastructure, platforms, software, and business processes that cloud computing and Big Data have introduced into business. Featuring chapters which discuss effective and efficient approaches in dealing with the inherent complexity and increasing demands in data science, a variety of application domains are covered. Various case studies by data management and analysis experts are presented in these chapters. Covered applications include banking, social networks, bioinformatics, healthcare, transportation and criminology. Highlighting the Importance of Big Data Management and Analysis for Various Applications will provide the reader with an understanding of how data management and analysis are adapted to these applications. This book will appeal to researchers and professionals in the field. .
410  0$aStudies in Big Data,$x2197-6511 ;$v27
606   $aQuantitative research
606   $aBig data
606   $aSociology$xMethodology
606   $aData mining
606   $aSystem theory
606   $aComputational intelligence
606   $aData Analysis and Big Data
606   $aBig Data
606   $aSociological Methods
606   $aData Mining and Knowledge Discovery
606   $aComplex Systems
606   $aComputational Intelligence
615  0$aQuantitative research.
615  0$aBig data.
615  0$aSociology$xMethodology.
615  0$aData mining.
615  0$aSystem theory.
615  0$aComputational intelligence.
615 14$aData Analysis and Big Data.
615 24$aBig Data.
615 24$aSociological Methods.
615 24$aData Mining and Knowledge Discovery.
615 24$aComplex Systems.
615 24$aComputational Intelligence.
676   $a005.7
702   $aMoshirpour$b Mohammad$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aFar$b Behrouz$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aAlhajj$b Reda$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910739437203321
996   $aHighlighting the Importance of Big Data Management and Analysis for Various Applications$93552681
997   $aUNINA