Big Data Analytics

First International Conference, BDA 2012, New Delhi, India, December 24-26, 2012, Proceedings

AvSrinath Srinivasa,Vasudha Bhatnagar

Häftad, Engelska, 2012

Del i serien Lecture Notes in Computer Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2012-11-10
Mått:155 x 235 x 11 mm
Vikt:306 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:181
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783642355417

Utforska kategorier

Databaser inom Data och IT
Artificiell intelligens inom Data och IT
Tillämpad datateknik inom Data och IT

Innehållsförteckning

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 fromDatabases 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 PanelApproach.- Luring Conditions and Their Proof of Necessity through Mathematical Modelling.- Efficient Recommendation for Smart TV Contents.- Materialized View Selection Using Simulated Annealing.