LEADER 04420nam 22007095 450 001 9910298208903321 005 20251113185424.0 010 $a3-319-95810-0 024 7 $a10.1007/978-3-319-95810-1 035 $a(CKB)4100000006999229 035 $a(MiAaPQ)EBC5541224 035 $a(DE-He213)978-3-319-95810-1 035 $a(PPN)231462247 035 $a(EXLCZ)994100000006999229 100 $a20181004d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApplications of Data Management and Analysis $eCase Studies in Social Networks and Beyond /$fedited by Mohammad Moshirpour, Behrouz H. Far, Reda Alhajj 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (viii, 217 pages) $cillustrations (chiefly color) 225 1 $aLecture Notes in Social Networks,$x2190-5436 311 08$a3-319-95809-7 320 $aIncludes bibliographical references and index. 327 $aChapter1: 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 forheavy 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. 330 $aThis book addresses and examines the impacts of applications and services for data management and analysis, such as infrastructure, platforms, software, and business processes, on both academia and industry. The chapters cover effective approaches in dealing with the inherent complexity and increasing demands of big data management from an applications perspective. Various case studies included have been reported by data analysis experts who work closely with their clients in such fields as education, banking, and telecommunications. Understanding how data management has been adapted to these applications will help students, instructors and professionals in the field. Application areas also include the fields of social network analysis, bioinformatics, and the oil and gas industries. 410 0$aLecture Notes in Social Networks,$x2190-5436 606 $aQuantitative research 606 $aBig data 606 $aComputational intelligence 606 $aData mining 606 $aSystem theory 606 $aSociology$xMethodology 606 $aData Analysis and Big Data 606 $aBig Data 606 $aComputational Intelligence 606 $aData Mining and Knowledge Discovery 606 $aComplex Systems 606 $aSociological Methods 615 0$aQuantitative research. 615 0$aBig data. 615 0$aComputational intelligence. 615 0$aData mining. 615 0$aSystem theory. 615 0$aSociology$xMethodology. 615 14$aData Analysis and Big Data. 615 24$aBig Data. 615 24$aComputational Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aComplex Systems. 615 24$aSociological Methods. 676 $a302.3 702 $aMoshirpour$b Mohammad$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aFar$b Behrouz H$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aAlhajj$b Reda$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910298208903321 996 $aApplications of Data Management and Analysis$92528594 997 $aUNINA