LEADER 01747nam 2200493 450 001 9910398193203321 005 20201128103150.0 035 $a(CKB)4920000000519905 035 $a(MiAaPQ)EBC6773062 035 $a(EXLCZ)994920000000519905 100 $a20201128d2019 uy 0 101 0 $aspa 135 $aurcnu|||||||| 181 $ctxt$2rdacontent/spa 182 $cc$2rdamedia/spa 183 $acr$2rdacarrier/spa 200 10$aIngle?s profesional para actividades comerciales /$fCentro de Estudios Adams ; Eva Mari?a Pe?rez Marti?n, coordinadora 210 1$aBogota? :$cEdiciones de la U,$d2019. 215 $a1 recurso en li?nea (25 pa?ginas) $cilustraciones 225 1 $aComercio internacional 311 $a958-792-037-6 311 $a958-792-040-6 320 $aContiene bibliografi?a. 410 0$aComercio internacional. 606 $aEnglish language$xTechnical English 606 $aEnglish language$xStudy and teaching$xForeign speakers 606 $aInternational trade 606 $aIngle?s comercial 606 $aIngle?s$xEnsen?anza$xLibros de texto para extranjeros 606 $aComercio internacional 608 $aLibros electronicos. 615 0$aEnglish language$xTechnical English. 615 0$aEnglish language$xStudy and teaching$xForeign speakers. 615 0$aInternational trade. 615 4$aIngle?s comercial. 615 4$aIngle?s$xEnsen?anza$xLibros de texto para extranjeros. 615 4$aComercio internacional. 676 $a428.0071 702 $aPe?rez Marti?n$b Eva Mari?a 801 0$bFINmELB 906 $aBOOK 912 $a9910398193203321 996 $aIngle?s profesional para actividades comerciales$92210634 997 $aUNINA LEADER 04857nam 22006975 450 001 9910741166703321 005 20251113204421.0 010 $a9783319110561 010 $a331911056X 024 7 $a10.1007/978-3-319-11056-1 035 $a(CKB)3710000000329735 035 $a(EBL)1967405 035 $a(OCoLC)899211464 035 $a(SSID)ssj0001424339 035 $a(PQKBManifestationID)11964478 035 $a(PQKBTitleCode)TC0001424339 035 $a(PQKBWorkID)11369008 035 $a(PQKB)10218826 035 $a(DE-He213)978-3-319-11056-1 035 $a(MiAaPQ)EBC1967405 035 $a(PPN)183519183 035 $a(EXLCZ)993710000000329735 100 $a20150102d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBig Data in Complex Systems $eChallenges and Opportunities /$fedited by Aboul Ella Hassanien, Ahmad Taher Azar, Vaclav Snasael, Janusz Kacprzyk, Jemal H. Abawajy 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (502 p.) 225 1 $aStudies in Big Data,$x2197-6511 ;$v9 300 $aDescription based upon print version of record. 311 08$a9783319110554 311 08$a3319110551 320 $aIncludes bibliographical references and index. 327 $aCloud Computing Infrastructure for Massive Data: A Gigantic Task Ahead -- Big Data Movement: a Challenge in Data Processing -- Towards Robust Performance Guarantees for Models Learned from High-Dimensional Data -- Stream Clustering Algorithms: A Primer -- Cross Language Duplicate Record Detection in Big Data -- A Novel Hybridized Rough Set And Improved Harmony Search Based Feature Selection For Protein Sequence Classification -- Autonomic Discovery of News Evolvement in Twitter -- Hybrid Tolerance Rough Set based Intelligent Approaches for Social Tagging Systems -- Exploitation Of Healthcare Databases In Anesthesiology And Surgical Care For Comparing Comorbidity Indexes In Cholecystectomized Patients -- Sickness Absence And Record Linkage Using Primary Healthcare, Hospital And Occupational Databases -- Classification of ECG Cardiac Arrhythmias using Bijective Soft Set -- Semantic Geographic Space: from Big Data to Ecosystems of Data -- DNA Methylation Data Analysis and Visualizing in a Common Form of Breast Cancer -- Data Quality, Analytics, and Privacy in Big Data -- Search, analysis and visual comparison of massive and heterogeneous data: Application in the medical field -- Modified Soft Rough set based ECG signal Classification for Cardiac arrhythmias -- Towards a new architecture for the description and manipulation of large distributed data. 330 $aThis volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much data today is not natively in structured format; for example, tweets and blogs are weakly structured pieces of text, while images and video are structured for storage and display, but not for semantic content and search. Therefore transforming such content into a structured format for later analysis is a major challenge. Data analysis, organization, retrieval, and modeling are other  foundational challenges treated in this book. The material of this book will be useful for researchers and practitioners in the field of big data as well as advanced undergraduate and graduate  students. Each of the 17 chapters in the book opens with a chapter abstract and key terms list. The chapters are organized along the lines of problem description, related works, and analysis of the results and comparisons are provided whenever feasible. 410 0$aStudies in Big Data,$x2197-6511 ;$v9 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a005.74 702 $aHassanien$b Aboul Ella$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aAzar$b Ahmad Taher$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSnasael$b Vaclav$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKacprzyk$b Janusz$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aAbawajy$b Jemal H$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910741166703321 996 $aBig Data in Complex Systems$91412806 997 $aUNINA