Big Data Analytics

1. Front Matter

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2. Perspectives on Big Data Analytics

   1. Scalable Analytics – Algorithms and Systems

      • Srinivasan H. Sengamedu

      Pages 1-7

   2. Big-Data – Theoretical, Engineering and Analytics Perspective

      • Vijay Srinivas Agneeswaran

      Pages 8-15

3. Data Analytics Applications

   1. A Comparison of Statistical Machine Learning Methods in Heartbeat Detection and Classification

      • Tony Basil, Bollepalli S. Chandra, Choudur Lakshminarayan

      Pages 16-25

   2. Enhanced Query-By-Object Approach for Information Requirement Elicitation in Large Databases

      • Ammar Yasir, Mittapally Kumara Swamy, Polepalli Krishna Reddy, Subhash Bhalla

      Pages 26-41

   3. Cloud Computing and Big Data Analytics: What Is New from Databases Perspective?

      • Rajeev Gupta, Himanshu Gupta, Mukesh Mohania

      Pages 42-61

   4. A Model of Virtual Crop Labs as a Cloud Computing Application for Enhancing Practical Agricultural Education

      • Polepalli Krishna Reddy, Basi Bhaskar Reddy, D. Rama Rao

      Pages 62-76

4. Knowledge Discovery through Information Extraction

   1. Exploiting Schema and Documentation for Summarizing Relational Databases

      • Ammar Yasir, Mittapally Kumara Swamy, Polepalli Krishna Reddy

      Pages 77-90

   2. Faceted Browsing over Social Media

      • Ullas Nambiar, Tanveer Faruquie, Shamanth Kumar, Fred Morstatter, Huan Liu

      Pages 91-100

   3. Analog Textual Entailment and Spectral Clustering (ATESC) Based Summarization

      • Anand Gupta, Manpreet Kathuria, Arjun Singh, Ashish Sachdeva, Shruti Bhati

      Pages 101-110

   4. Economics of Gold Price Movement-Forecasting Analysis Using Macro-economic, Investor Fear and Investor Behavior Features

      • Jatin Kumar, Tushar Rao, Saket Srivastava

      Pages 111-121

5. Data Models in Analytics

   1. An Efficient Method of Building an Ensemble of Classifiers in Streaming Data

      • Joung Woo Ryu, Mehmed M. Kantardzic, Myung-Won Kim, A. Ra Khil

      Pages 122-133

   2. I/O Efficient Algorithms for Block Hessenberg Reduction Using Panel Approach

      • Sraban Kumar Mohanty, Gopalan Sajith

      Pages 134-147

   3. Luring Conditions and Their Proof of Necessity through Mathematical Modelling

      • Anand Gupta, Prashant Khurana, Raveena Mathur

      Pages 148-157

   4. Efficient Recommendation for Smart TV Contents

      • Myung-Won Kim, Eun-Ju Kim, Won-Moon Song, Sung-Yeol Song, A. Ra Khil

      Pages 158-167

   5. Materialized View Selection Using Simulated Annealing

      • T. V. Vijay Kumar, Santosh Kumar

      Pages 168-179

6. Back Matter

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This book constitutes the refereed proceedings of the First International Conference on Big Data Analytics, BDA 2012, held in New Delhi, India, in December 2012. The 5 regular papers and 5 short papers presented were carefully reviewed and selected from 42 submissions. The volume also contains two tutorial papers in the section perspectives on big data analytics. The regular contributions are organized in topical sections on: data analytics applications; knowledge discovery through information extraction; and data models in analytics.

• active learning
• data warehouse
• large-scale data analysis
• probability
• social engineering
• algorithm analysis and problem complexity

• International Institute of Information Technology Bangalore (IIIIT Bangalore), Bangalore, India

  Srinath Srinivasa

• Faculty of Mathematical Sciences, Department of Computer Science, University of Delhi, Delhi, India

  Vasudha Bhatnagar

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