Big Data Analytics

1. Front Matter

   Pages i-xviii

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2. Need for Developing Intelligent Interfaces for Big Data Analytics in the Microfinance Industry

   • Purav Parikh, Pragya Singh

   Pages 1-5

3. Unified Resource Descriptor over KAAS Framework

   • Subhajit Bhattacharya

   Pages 7-18

4. An Adaptable and Secure Intelligent Smart Card Framework for Internet of Things and Cloud Computing

   • T. Daisy Premila Bai, A. Vimal Jerald, S. Albert Rabara

   Pages 19-28

5. A Framework for Ontology Learning from Taxonomic Data

   • Chandan Kumar Deb, Sudeep Marwaha, Alka Arora, Madhurima Das

   Pages 29-37

6. Leveraging MapReduce with Column-Oriented Stores: Study of Solutions and Benefits

   • Narinder K. Seera, S. Taruna

   Pages 39-46

7. Hadoop: Solution to Unstructured Data Handling

   • Aman Madaan, Vishal Sharma, Prince Pahwa, Prasenjit Das, Chetan Sharma

   Pages 47-54

8. Task-Based Load Balancing Algorithm by Efficient Utilization of VMs in Cloud Computing

   • Ramandeep Kaur, Navtej Singh Ghumman

   Pages 55-61

9. A Load Balancing Algorithm Based on Processing Capacities of VMs in Cloud Computing

   • Ramandeep Kaur, Navtej Singh Ghumman

   Pages 63-69

10. Package-Based Approach for Load Balancing in Cloud Computing

    • Amanpreet Chawla, Navtej Singh Ghumman

    Pages 71-77

11. Workload Prediction of E-business Websites on Cloud Using Different Methods of ANN

    • Supreet Kaur Sahi, V. S. Dhaka

    Pages 79-87

12. Data Security in Cloud-Based Analytics

    • Charru Hasti, Ashema Hasti

    Pages 89-96

13. Ontology-Based Ranking in Search Engine

    • Rahul Bansal, Jyoti, Komal Kumar Bhatia

    Pages 97-109

14. Hidden Data Extraction Using URL Templates Processing

    • Babita Ahuja, Anuradha, Dimple Juneja

    Pages 111-126

15. Automatic Generation of Ontology for Extracting Hidden Web Pages

    • Manvi, Komal Kumar Bhatia, Ashutosh Dixit

    Pages 127-139

16. Importance of SLA in Cloud Computing

    • Angira Ghosh Chowdhury, Ajanta Das

    Pages 141-147

17. A Survey on Cloud Computing

    • Mohammad Ubaidullah Bokhari, Qahtan Makki, Yahya Kord Tamandani

    Pages 149-164

18. Adapting and Reducing Cost in Cloud Paradigm (ARCCP)

    • Khushboo Tripathi, Dharmender Singh Kushwaha

    Pages 165-174

19. Power Aware-Based Workflow Model of Grid Computing Using Ant-Based Heuristic Approach

    • T. Sunil Kumar Reddy, Dasari Naga Raju, P. Ravi Kumar, S. R. Raj Kumar

    Pages 175-184

20. Image Categorization Using Improved Data Mining Technique

    • Pinki Solanki, Girdhar Gopal

    Pages 185-193

This volume comprises the select proceedings of the annual convention of the Computer Society of India. Divided into 10 topical volumes, the proceedings present papers on state-of-the-art research, surveys, and succinct reviews. The volumes cover diverse topics ranging from communications networks to big data analytics, and from system architecture to cyber security. This volume focuses on Big Data Analytics. The contents of this book will be useful to researchers and students alike.

• Analytics Algorithms
• Analytics
• Data Processing
• Knowledge Management
• CSI 2015
• Digital Life

• Jagan Institute of Management Studies, New Delhi, India

  V. B. Aggarwal

• Department of Computer Science, University of Delhi, New Delhi, India

  Vasudha Bhatnagar

• Microsoft Innovation Centre, Sri Aurobindo Institute of Technology, Indore, India

  Durgesh Kumar Mishra

From 1981 to 88, Dr. Vijay B. Aggarwal was the Founder Head, Department of Computer Science, University of Delhi, India, where he introduced the 3-Year postgraduate (PG) Programme, Master of Computer Applications (MCA), from 1982 to 1985. In 1973, he was awarded his Ph.D. by the University of Illinois, Urbana, USA. He continued his research work in the areas of Super Computers and Array Processors. In the USA, he taught for seven years as a faculty member at three universities. As a life member of the Computer Society of India (CSI), he has held various offices at the Delhi Chapter, including chapter vice-chairman and chairman, since 1979. In February 2014, he received the prestigious “Chapter Patron Award 2013” for Delhi Chapter by the CSI awards committee. Dr. Aggarwal has authored more than 18 Computer Publications, which are very popular among school students.

Prof. Vasudha Bhatnagar is a Professor at the Department of Computer Science, University of Delhi
, India. She is actively involved in research in the field of Knowledge Discovery and Data Mining (KDD). Her broad area of interest is Intelligent Data Analysis. She is particularly interested in developing process models for Knowledge Discovery in Databases and data mining algorithms. Her further interests include problems pertaining to modelling of changes in discovered knowledge in evolving (streaming) data sets, handling user subjectivity in KDD, projected clustering, outlier detection, classification and cluster ensembles. She is currently studying graphs as tool for modelling biology problems and texts.Dr. Durgesh Kumar Mishra is a Professor (CSE) and Director of the Microsoft Innovation Centre at Shri Aurobindo Institute of Technology, Indore, India. He has 24 years of teaching and research experience and has published over 100 research papers. He is a Senior Member of IEEE and Chairman, Computer Society of India (CSI) Division IV. He has held positions including Chairman, IEEE MP-Subsection and Chairman, IEEE Computer Society, Bombay Chapter. He has delivered invited talks at IEEE International conferences and serves on the Editorial Board of many national and international refereed journals. He is also a Member of the Bureau of Indian Standards (BIS), Government of India.

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