04245nam 22006615 450 991029983620332120200702114610.03-319-16598-410.1007/978-3-319-16598-1(CKB)3710000000402833(EBL)2120580(OCoLC)908030598(SSID)ssj0001501171(PQKBManifestationID)11840143(PQKBTitleCode)TC0001501171(PQKBWorkID)11524060(PQKB)11132880(DE-He213)978-3-319-16598-1(MiAaPQ)EBC2120580(PPN)185490913(EXLCZ)99371000000040283320150421d2015 u| 0engur|n|---|||||txtccrComputational Intelligence for Big Data Analysis Frontier Advances and Applications /edited by D.P. Acharjya, Satchidananda Dehuri, Sugata Sanyal1st ed. 2015.Cham :Springer International Publishing :Imprint: Springer,2015.1 online resource (276 p.)Adaptation, Learning, and Optimization,1867-4534 ;19Description based upon print version of record.3-319-16597-6 Includes bibliographical references and index.“Atrain Distributed System” (ADS) : An Infinitely Scalable Architecture for Processing Big Data of any 4Vs -- “Atrain Distributed System” (ADS) : An Infinitely Scalable Architecture for Processing Big Data of any 4Vs -- Learning Using Hybrid Intelligence Techniques -- Neutrosophic Sets and its Applications to Decision Making -- An Efficient Grouping Genetic Algorithm for Data Clustering and Big Data Analysis -- Self Organizing Migrating Algorithm with Nelder Mead Crossover and Log-Logisti Mutation for Large Scale Optimization -- A Spectrum of Big Data Applications for Data Analytics -- Fundamentals of Brain Signals and its Medical Application Using Data Analysis Techniques -- BigData: Processing of Data Intensive Applications on Cloud -- Framework for Supporting Heterogenous Clouds using Model Driven Approach -- Cloud based Big Data Analytics:WAN Optimization Techniques and Solutions -- Cloud Based E-Governance Solution: A Case Study.The work presented in this book is a combination of theoretical advancements of big data analysis, cloud computing, and their potential applications in scientific computing. The theoretical advancements are supported with illustrative examples and its applications in handling real life problems. The applications are mostly undertaken from real life situations. The book discusses major issues pertaining to big data analysis using computational intelligence techniques and some issues of cloud computing. An elaborate bibliography is provided at the end of each chapter. The material in this book includes concepts, figures, graphs, and tables to guide researchers in the area of big data analysis and cloud computing.Adaptation, Learning, and Optimization,1867-4534 ;19Computational intelligenceData miningArtificial intelligenceComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Data Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Computational intelligence.Data mining.Artificial intelligence.Computational Intelligence.Data Mining and Knowledge Discovery.Artificial Intelligence.620.00151Acharjya D.Pedthttp://id.loc.gov/vocabulary/relators/edtDehuri Satchidanandaedthttp://id.loc.gov/vocabulary/relators/edtSanyal Sugataedthttp://id.loc.gov/vocabulary/relators/edtBOOK9910299836203321Computational Intelligence for Big Data Analysis1412401UNINA