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Highlighting the importance of big data management and analysis for various applications / Mohammad Moshirpour, Behrouz Far, Reda Alhajj, editors.

Moshirpour, Mohammad.; Far, Behrouz H., 1959-; Alhajj, Reda.
2018
QA76.9.B45 H55 2018
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Title
Highlighting the importance of big data management and analysis for various applications / Mohammad Moshirpour, Behrouz Far, Reda Alhajj, editors.
ISBN
9783319602554 (electronic book)
3319602551 (electronic book)
9783319602547
3319602543
DOI
https://doi.org/10.1007/978-3-319-60255-4
Publication Details
Cham : Springer, c2018.
Language
English
Description
1 online resource.
Item Number
10.1007/978-3-319-60255-4 doi
Call Number
QA76.9.B45 H55 2018
Dewey Decimal Classification
005.7
Summary
This 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. .
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Includes index.
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Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Description based on online resource; title from digital title page (viewed on Oct. 5, 2017).
Added Author
Moshirpour, Mohammad.
Far, Behrouz H., 1959-
Alhajj, Reda.
Series
Studies in big data ; v. 27.
Available in Other Form
Print version: 3319602543
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Chapter 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.

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