Applications of Data Management and Analysis Case Studies in Social Networks and Beyond /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Moshirpour, Mohammad (Editor, http://id.loc.gov/vocabulary/relators/edt), Far, Behrouz H. (Editor, http://id.loc.gov/vocabulary/relators/edt), Alhajj, Reda (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Lecture Notes in Social Networks,
• Subjects: Big data.; Computational intelligence.; Data mining.; Sociophysics.; Econophysics.; Social sciences-Data processing.; Social sciences-Computer programs.; Big Data/Analytics.; Big Data.; Computational Intelligence.; Data Mining and Knowledge Discovery.; Data-driven Science, Modeling and Theory Building.; Computational Social Sciences.

This book addresses and examines the impacts of applications and services for data management and analysis, such as infrastructure, platforms, software, and business processes, on both academia and industry. The chapters cover effective approaches in dealing with the inherent complexity and increasi...

Table of Contents:

• Chapter1: Predicting Implicit Negative Relations in Online Social Networks
• Chapter2: Automobile insurance fraud detection using social network analysis
• Chapter3: Improving circular layout algorithm for social network visualization using genetic algorithm
• Chapter4: Live Twitter Sentiment Analysis
• Chapter5: Artificial Neural Network Modeling and Forecasting of Oil Reservoir Performance
• Chapter6: A Sliding-Window Algorithm Implementation in MapReduce
• Chapter7: A Fuzzy Dynamic Model for Customer Churn Prediction in Retail Banking Industry
• Chapter8: Temporal Dependency between Evolution of Features and Dynamic Social Networks
• Chapter9: Recommender System for Product Avoidance
• Chapter10: A new 3D value model for customer segmentation:Complex Network Approach
• Chapter11: Finding Influential Factors for Different Types of Cancer: A Data Mining Approach
• Chapter 12: Enhanced load balancer with multi-layer processing architecture for heavy load over cloud network
• Chapter13: Market Basket Analysis Using Community Detection Approach: A Real Case
• Chapter14: Predicting Future with Social Media based on Sentiment and Quantitative Analysis.