Data Science and Big Data Computing

Part I: Data Science Applications and Scenarios An Interoperability Framework and Distributed Platform for Fast Data Applications Jose Carlos Martins Delgado Complex Event Processing Framework for Big Data Applications Renta Chintala Bhargavi Agglomerative Approaches for Partitioning of Networks in Big Data Scenarios Anupam Biswas, Gourav Arora, Gaurav Tiwari, Srijan Khare, Vyankatesh Agrawal and Bhaskar Biswas Identifying Minimum-Sized Influential Vertices on Large-Scale Weighted Graphs: A Big Data Perspective Ying Xie, Jing (Selena) He and Vijay V. Raghavan Part II: Big Data Modelling and Frameworks A Unified Approach to Data Modelling and Management in Big Data Era Catalin Negru, Florin Pop, Mariana Mocanu and Valentin Cristea Interfacing Physical and Cyber Worlds: A Big Data Perspective Zartasha Baloch, Faisal Karim Shaikh and Mukhtiar A. Unar Distributed Platforms and Cloud Services: Enabling Machine Learning for Big Data Daniel Pop, Gabriel Iuhasz and Dana Petcu An Analytics Driven Approach to Identify Duplicate Bug Records in Large Data Repositories Anjaneyulu Pasala, Sarbendu Guha, Gopichand Agnihotram, Satya Prateek B and Srinivas Padmanabhuni Part III: Big Data Tools and Analytics Large Scale Data Analytics Tools: Apache Hive, Pig and HBase N. Maheswari and M. Sivagami Big Data Analytics: Enabling Technologies and Tools Mohanavadivu Periasamy and Pethuru Raj A Framework for Data Mining and Knowledge Discovery in Cloud Computing Derya Birant and Pelin Yildirim Feature Selection for Adaptive Decision Making in Big Data Analytics Jaya Sil and Asit Kumar Das Social Impact and Social Media Analysis Relating to Big DataNirmala Dorasamy and Natasa Pomazalova