LEADER 05092oam 2200877I 450 001 9910679263203321 005 20211109143712.0 010 $a9780367575953 010 $a0367575957 010 $a9780429174018 010 $a0429174012 010 $a9781498760409 010 $a1498760406 010 $a9781785398230 010 $a1785398237 010 $a9781482240566 010 $a1482240564 024 7 $a10.1201/b18050 035 $a(CKB)2670000000597285 035 $a(EBL)1812807 035 $a(SSID)ssj0001420873 035 $a(PQKBManifestationID)11778007 035 $a(PQKBTitleCode)TC0001420873 035 $a(PQKBWorkID)11404049 035 $a(PQKB)11782295 035 $a(MiAaPQ)EBC1812807 035 $a(MiAaPQ)EBC4002953 035 $a(OCoLC)903645964 035 $a(Au-PeEL)EBL4002953 035 $a(CaSebORM)9781482240559 035 $a(PPN)189345659 035 $a(OCoLC)908853499 035 $a(OCoLC)ocn908853499 035 $a(EXLCZ)992670000000597285 100 $a20180331h20152015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aBig data $ealgorithms, analytics, and applications /$fedited by Kuan-Ching Li, Providence University, Taiwan; Hai Jiang, Arkansas State University, USA; Laurence T. Yang, St. Francis Xavier University, Canada; Alfredo Cuzzocrea, ICAR-CNR and Univ 205 $a1st edition 210 1$aBoca Raton :$cCRC Press,$d[2015] 210 4$dİ2015 215 $a1 online resource (478 p.) 225 0 $aChapman & Hall/CRC Big Data Series 225 0 $aChapman & Hall Book 300 $aA Chapman and Hall Book. 311 08$a9781482240559 311 08$a1482240556 311 08$a9781322999050 311 08$a1322999058 320 $aIncludes bibliographical references at the end of each chapters. 327 $aFront Cover; Contents; Foreword by Jack Dongarra; Preface; Editors; Contributors; Chapter 1: Scalable Indexing for Big Data Processing; Chapter 2: Scalability and Cost Evaluation of Incremental Data Processing Using Amazon's Hadoop Service; Chapter 3: Singular Value Decomposition, Clustering, and Indexing for Similarity Search for Large Data Sets in High-Dimensional Spaces; Chapter 4: Multiple Sequence Alignment and Clustering with Dot Matrices, Entropy, and Genetic Algorithms; Chapter 5: Approaches for High-Performance Big Data Processing : Applications and Challenges 327 $aChapter 6: The Art of Scheduling for Big Data ScienceChapter 7: Time-Space Scheduling in the MapReduce Framework; Chapter 8: GEMS: Graph Database Engine for Multithreaded Systems; Chapter 9: KSC-net : Community Detection for Big Data Networks; Chapter 10: Making Big Data Transparent to the Software Developers' Community; Chapter 11: Key Technologies for Big Data Stream Computing; Chapter 12: Streaming Algorithms for Big Data Processing on Multicore Architecture 327 $aChapter 13: Organic Streams : A Unified Framework for Personal Big Data Integration and Organization Towards Social Sharing and Individualized Sustainable UseChapter 14: Managing Big Trajectory Data : Online Processing of Positional Streams; Chapter 15: Personal Data Protection Aspects of Big Data; Chapter 16: Privacy-Preserving Big Data Management : The Case of OLAP; Chapter 17: Big Data in Finance; Chapter 18: Semantic-Based Heterogeneous Multimedia Big Data Retrieval; Chapter 19: Topic Modeling for Large-Scale Multimedia Analysis and Retrieval 327 $aChapter 20: Big Data Biometrics Processing : A Case Study of an Iris Matching Algorithm on Intel Xeon PhiChapter 21: Storing, Managing, and Analyzing Big Satellite Data : Experiences and Lessons Learned from a Real-World Application; Chapter 22: Barriers to the Adoption of Big Data Applications in the Social Sector; Back Cover 330 $aData are generated at an exponential rate all over the world. Through advanced algorithms and analytics techniques, organizations can harness this data, discover hidden patterns, and use the findings to make meaningful decisions. Containing contributions from leading experts in their respective fields, this book bridges the gap between the vastness of big data and the appropriate computational methods for scientific and social discovery. It also explores related applications in diverse sectors, covering technologies for media/data communication, elastic media/data storage, cross-network media/data fusion, SaaS, and more--$cProvided by publisher. 410 0$aChapman & Hall/CRC Big Data Series 606 $aBig data 606 $aDatabase management 606 $aData mining 606 $aMachine theory 615 0$aBig data. 615 0$aDatabase management. 615 0$aData mining. 615 0$aMachine theory. 676 $a005.7 686 $aCOM021030$aCOM037000$aMAT000000$2bisacsh 702 $aLi$b Kuan-Ching 801 0$bFlBoTFG 801 1$bFlBoTFG 906 $aBOOK 912 $a9910679263203321 996 $aBig Data$91412830 997 $aUNINA