000 04369nam a22004935i 4500
001 978-3-319-31861-5
003 DE-He213
005 20200421112227.0
007 cr nn 008mamaa
008 160705s2016 gw | s |||| 0|eng d
020 _a9783319318615
_9978-3-319-31861-5
024 7 _a10.1007/978-3-319-31861-5
_2doi
050 4 _aQA76.9.M3
072 7 _aUYZM
_2bicssc
072 7 _aUKR
_2bicssc
072 7 _aBUS083000
_2bisacsh
072 7 _aCOM032000
_2bisacsh
082 0 4 _a005.74
_223
245 1 0 _aData Science and Big Data Computing
_h[electronic resource] :
_bFrameworks and Methodologies /
_cedited by Zaigham Mahmood.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXXI, 319 p. 68 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aPart I: Data Science Applications and Scenarios -- An Interoperability Framework and Distributed Platform for Fast Data Applications -- Complex Event Processing Framework for Big Data Applications -- Agglomerative Approaches for Partitioning of Networks in Big Data Scenarios -- Identifying Minimum-Sized Influential Vertices on Large-Scale Weighted Graphs: A Big Data Perspective -- Part II: Big Data Modelling and Frameworks -- A Unified Approach to Data Modelling and Management in Big Data Era -- Interfacing Physical and Cyber Worlds: A Big Data Perspective -- Distributed Platforms and Cloud Services: Enabling Machine Learning for Big Data -- An Analytics Driven Approach to Identify Duplicate Bug Records in Large Data Repositories -- Part III: Big Data Tools and Analytics -- Large Scale Data Analytics Tools: Apache Hive, Pig and HBase -- Big Data Analytics: Enabling Technologies and Tools -- A Framework for Data Mining and Knowledge Discovery in Cloud Computing -- Feature Selection for Adaptive Decision Making in Big Data Analytics -- Social Impact and Social Media Analysis Relating to Big Data.
520 _aThis illuminating text/reference surveys the state of the art in data science, and provides practical guidance on big data analytics. Expert perspectives are provided by an authoritative collection of thirty-six researchers and practitioners from around the world, discussing research developments and emerging trends, presenting case studies on helpful frameworks and innovative methodologies, and suggesting best practices for efficient and effective data analytics. Topics and features: Reviews a framework for fast data applications, a technique for complex event processing, and a selection of agglomerative approaches for partitioning of networks Discusses a big data approach to identifying minimum-sized influential vertices from large-scale weighted graphs Introduces a unified approach to data modeling and management, and offers a distributed computing perspective on interfacing physical and cyber worlds Presents techniques for machine learning in the context of big data, and describes an analytics-driven approach to identifying duplicate records in large data repositories Examines various enabling technologies and tools for data mining, including Apache Hadoop Proposes a novel framework for data extraction and knowledge discovery, and provides case studies on adaptive decision making and social media analysis This comprehensive volume is a valuable reference for researchers, lecturers and students interested in data science and big data, in addition to professionals seeking to adopt the latest approaches in data analytics to gain business intelligence for strategic decision-making.
650 0 _aComputer science.
650 0 _aComputer communication systems.
650 0 _aData mining.
650 0 _aManagement information systems.
650 1 4 _aComputer Science.
650 2 4 _aManagement of Computing and Information Systems.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aComputer Communication Networks.
700 1 _aMahmood, Zaigham.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319318592
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-31861-5
912 _aZDB-2-SCS
942 _cEBK
999 _c57719
_d57719