000			01592nam a22001577a 4500
008			230706b |||||||| |||| 00| 0 eng d
020			_a9783319318592
082			_a005.7 _bDAT
245			_aData Science and Big Data Computing: Frameworks and Methodologies
260			_bSpringer International Publishing _aSwitzerland _c2016
300			_a319p
500			_aContents Part 1: 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 2: 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 3: 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 Index
600			_aComputer _992676
700			_aMahmood, Zaigham _eEditor _992677
942			_2ddc _m005.7 _cLB _kDAT
999			_c145821 _d145821