Big data analysis : second International Conference, BDA 2013, Mysore, India, December 16-18, 2013, proceedings /

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Bibliographic Details
Meeting name:BDA (Conference) (2nd : 2013 : Mysore, India)
Imprint:Cham : Springer, 2013.
Description:1 online resource (200 pages) : illustrations.
Language:English
Series:Lecture Notes in Computer Science ; 8302
LNCS sublibrary. SL 3, Information systems and application incl. Internet/Web and HCI
Lecture notes in computer science ; 8302.
LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11082159
Hidden Bibliographic Details
Varying Form of Title:BDA 2013
Other authors / contributors:Bhatnagar, Vasudha, editor.
Srinivasa, Srinath, 1973- editor.
ISBN:9783319036892
3319036890
3319036882
9783319036885
9783319036885
Notes:International conference proceedings.
Includes author index.
Print version record.
Summary:This book constitutes the thoroughly refereed conference proceedings of the Second International Conference on Big Data Analysis, BDA 2013, held in Mysore, India, in December 2013. The 13 revised full papers were carefully reviewed and selected from 49 submissions and cover topics on mining social media data, perspectives on big data analysis, graph analysis, big data in practice.
Other form:Print version: Big Data Analysis: Second International Conference 3319036882
Standard no.:10.1007/978-3-319-03689-2

MARC

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505 0 0 |t Mining Social Media Data.  |t Tutorial : Social Media Analytics /  |r Sameep Mehta and L.V. Subramaniam --  |t Temporal Analysis of User Behavior and Topic Evolution on Twitter /  |r Mona Jain [and others] --  |t Stylometric Analysis for Authorship Attribution on Twitter /  |r Mudit Bhargava, Pulkit Mehndiratta and Krishna Asawa --  |t Copyright Infringement Detection of Music Videos on YouTube by Mining Video and Uploader Meta-data /  |r Swati Agrawal and Ashish Sureka --  |t Perspectives on Big Data Analytics.  |t High Dimensional Big Data and Pattern Analysis: A Tutorial /  |r Choudur K. Lakshminarayan --  |t The Role of Incentive-Based Crowd-Driven Data Collection in Big Data Analytics: A Perspective /  |r Anirban Mondal --  |t Discovering Quasi-Periodic-Frequent Patterns in Transactional Databases /  |r R. Uday Kiran and Masaru Kitsuregawa --  |t Graph Analytics.  |t Challenges and Approaches for Large Graph Analysis Using Map/Reduce Paradigm /  |r Soumyava Das and Sharma Chakravarthy --  |t Complex Network Characteristics and Team Performance in the Game of Cricket /  |r Rudra M. Tripathy, Amitabha Bagchi and Mona Jain --  |t Visualization of Small World Networks Using Similarity Matrices /  |r Saima Parveen and Jaya Sreevalsan-Nair --  |t Big Data in Practice.  |t Demonstrator of a Tourist Recommendation System /  |r Erol Elisabeth, Richard Nock and Fred Célimène --  |t Performance Comparison of Hadoop Based Tools with Commercial ETL Tools -- A Case Study /  |r Sumit Misra, Sanjoy Kumar Saha and Chandan Mazumdar --  |t Pattern Recognition in Large-Scale Data Sets: Application in Integrated Circuit Manufacturing /  |r Choudur K. Lakshminarayan and Michael I. Baron. 
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