Data Science and Big Data Computing

Part I. Data Science Applications and Scenarios

1. An Interoperability Framework and Distributed Platform for Fast Data Applications
José Carlos Martins Delgado

2. Complex Event Processing Framework for Big Data Applications
Rentachintala Bhargavi

3. Agglomerative Approaches for Partitioning of Networks in Big Data Scenarios
Anupam Biswas, Gourav Arora, Gaurav Tiwari, Srijan Khare, Vyankatesh Agrawal, Bhaskar Biswas

4. Identifying Minimum-Sized Influential Vertices on Large-Scale Weighted Graphs: A Big Data Perspective
Ying Xie, Jing (Selena) He, Vijay V. Raghavan

Part II. Big Data Modelling and Frameworks

5. A Unified Approach to Data Modeling and Management in Big Data Era
Catalin Negru, Florin Pop, Mariana Mocanu, Valentin Cristea

6. Interfacing Physical and Cyber Worlds: A Big Data Perspective
Zartasha Baloch, Faisal Karim Shaikh, Mukhtiar A. Unar

7. Distributed Platforms and Cloud Services: Enabling Machine Learning for Big Data
Daniel Pop, Gabriel Iuhasz, Dana Petcu

8. An Analytics-Driven Approach to Identify Duplicate Bug Records in Large Data Repositories
Anjaneyulu Pasala, Sarbendu Guha, Gopichand Agnihotram, Satya Prateek B, Srinivas Padmanabhuni

Part III. Big Data Tools and Analytics

9. Large-Scale Data Analytics Tools: Apache Hive, Pig, and HBase
N. Maheswari, M. Sivagami

10. Big Data Analytics: Enabling Technologies and Tools
Mohanavadivu Periasamy, Pethuru Raj

11. A Framework for Data Mining and Knowledge Discovery in Cloud Computing
Derya Birant, Pelin Yıldırım

12. Feature Selection for Adaptive Decision Making in Big Data Analytics
Jaya Sil, Asit Kumar Das

13. Social Impact and Social Media Analysis Relating to Big Data
Nirmala Dorasamy, Nataša Pomazalová

Avainsanat: Computer Science, Management of Computing and Information Systems, Data Mining and Knowledge Discovery, Computer Communication Networks