05055nam 22007335 450 991029820890332120200704221019.03-319-95810-010.1007/978-3-319-95810-1(CKB)4100000006999229(MiAaPQ)EBC5541224(DE-He213)978-3-319-95810-1(PPN)231462247(EXLCZ)99410000000699922920181004d2018 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierApplications of Data Management and Analysis Case Studies in Social Networks and Beyond /edited by Mohammad Moshirpour, Behrouz H. Far, Reda Alhajj1st ed. 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (viii, 217 pages) illustrations (chiefly color)Lecture Notes in Social Networks,2190-54283-319-95809-7 Includes bibliographical references and index.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.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 increasing demands of big data management from an applications perspective. Various case studies included have been reported by data analysis experts who work closely with their clients in such fields as education, banking, and telecommunications. Understanding how data management has been adapted to these applications will help students, instructors and professionals in the field. Application areas also include the fields of social network analysis, bioinformatics, and the oil and gas industries.Lecture Notes in Social Networks,2190-5428Big dataComputational intelligenceData miningSociophysicsEconophysicsSocial sciences—Data processingSocial sciences—Computer programsBig Data/Analyticshttps://scigraph.springernature.com/ontologies/product-market-codes/522070Big Datahttps://scigraph.springernature.com/ontologies/product-market-codes/I29120Computational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Data Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Data-driven Science, Modeling and Theory Buildinghttps://scigraph.springernature.com/ontologies/product-market-codes/P33030Computational Social Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/X34000Big 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.302.3Moshirpour Mohammadedthttp://id.loc.gov/vocabulary/relators/edtFar Behrouz Hedthttp://id.loc.gov/vocabulary/relators/edtAlhajj Redaedthttp://id.loc.gov/vocabulary/relators/edtBOOK9910298208903321Applications of Data Management and Analysis2528594UNINA