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020 _a9783319602554
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024 7 _a10.1007/978-3-319-60255-4
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245 1 0 _aHighlighting the Importance of Big Data Management and Analysis for Various Applications
_h[electronic resource] /
_cedited by Mohammad Moshirpour, Behrouz Far, Reda Alhajj.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aVI, 168 p. 29 illus., 11 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Big Data,
_x2197-6511 ;
_v27
505 0 _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.
520 _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. .
650 0 _aQuantitative research.
_94633
650 0 _aBig data.
_94174
650 0 _aSociology—Methodology.
_942127
650 0 _aData mining.
_93907
650 0 _aSystem theory.
_93409
650 0 _aComputational intelligence.
_97716
650 1 4 _aData Analysis and Big Data.
_945452
650 2 4 _aBig Data.
_94174
650 2 4 _aSociological Methods.
_942128
650 2 4 _aData Mining and Knowledge Discovery.
_945453
650 2 4 _aComplex Systems.
_918136
650 2 4 _aComputational Intelligence.
_97716
700 1 _aMoshirpour, Mohammad.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_945454
700 1 _aFar, Behrouz.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_945455
700 1 _aAlhajj, Reda.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_945456
710 2 _aSpringerLink (Online service)
_945457
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319602547
776 0 8 _iPrinted edition:
_z9783319602561
776 0 8 _iPrinted edition:
_z9783319868189
830 0 _aStudies in Big Data,
_x2197-6511 ;
_v27
_945458
856 4 0 _uhttps://doi.org/10.1007/978-3-319-60255-4
912 _aZDB-2-ENG
912 _aZDB-2-SXE
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