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Big Data Analytics : First International Conference, BDA 2012, New Delhi, India, December 24-26, 2012, Proceedings / edited by Srinath Srinivasa, Vasudha Bhatnagar.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Srinivasa, Srinath., Editor.
Bhatnagar, Vasudha, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 7678
Information Systems and Applications, incl. Internet/Web, and HCI ; 7678
Language:
English
Subjects (All):
Application software.
Artificial intelligence.
Database management.
Information storage and retrieval systems.
Data mining.
Algorithms.
Computer and Information Systems Applications.
Artificial Intelligence.
Database Management.
Information Storage and Retrieval.
Data Mining and Knowledge Discovery.
Local Subjects:
Computer and Information Systems Applications.
Artificial Intelligence.
Database Management.
Information Storage and Retrieval.
Data Mining and Knowledge Discovery.
Algorithms.
Physical Description:
1 online resource (XIV, 181 pages) : 83 illustrations
Edition:
1st ed. 2012.
Contained In:
Springer Nature eBook
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
System Details:
text file PDF
Summary:
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.
Contents:
Perspectives on Big Data Analytics
Scalable Analytics - Algorithms and Systems
Big-Data - Theoretical, Engineering and Analytics Perspective
Data Analytics Applications
A Comparison of Statistical Machine Learning Methods in Heartbeat Detection and Classification
Enhanced Query-By-Object Approach for Information Requirement Elicitation in Large Databases
Cloud Computing and Big Data Analytics: What Is New from Databases Perspective?
A Model of Virtual Crop Labs as a Cloud Computing Application for Enhancing Practical Agricultural Education
Knowledge Discovery through Information Extraction
Exploiting Schema and Documentation for Summarizing Relational Databases
Faceted Browsing over Social Media
Analog Textual Entailment and Spectral Clustering (ATESC) Based Summarization
Economics of Gold Price Movement-Forecasting Analysis Using Macro-economic, Investor Fear and Investor Behavior Features
Data Models in Analytics
An Efficient Method of Building an Ensemble of Classifiers in Streaming Data
I/O Efficient Algorithms for Block Hessenberg Reduction Using Panel Approach
Luring Conditions and Their Proof of Necessity through Mathematical Modelling
Efficient Recommendation for Smart TV Contents
Materialized View Selection Using Simulated Annealing.
Other Format:
Printed edition:
ISBN:
978-3-642-35542-4
9783642355424
Access Restriction:
Restricted for use by site license.

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