2014 IEEE International Conference on Big Data (Big Data)
Latest Publications

TOTAL DOCUMENTS

306

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H-INDEX

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Published By IEEE

9781479956661

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Rainbow: A distributed and hierarchical RDF triple store with dynamic scalability

2014 IEEE International Conference on Big Data (Big Data) ◽

10.1109/bigdata.2014.7004274 ◽

2014 ◽

Cited By ~ 7

Author(s):

Rong Gu ◽

Wei Hu ◽

Yihua Huang

Keyword(s):

Triple Store

A standard for benchmarking big data systems

2014 IEEE International Conference on Big Data (Big Data) ◽

10.1109/bigdata.2014.7004472 ◽

2014 ◽

Cited By ~ 7

Author(s):

Raghunath Nambiar

Keyword(s):

Big Data ◽

Data Systems ◽

Big Data Systems

Knowledge based dimensionality reduction for technical text mining

2014 IEEE International Conference on Big Data (Big Data) ◽

10.1109/bigdata.2014.7004466 ◽

2014 ◽

Cited By ~ 1

Author(s):

Walid Shalaby ◽

Wlodek Zadrozny ◽

Sean Gallagher

Keyword(s):

Text Mining ◽

Dimensionality Reduction ◽

Knowledge Based

MAGE: Matching approximate patterns in richly-attributed graphs

2014 IEEE International Conference on Big Data (Big Data) ◽

10.1109/bigdata.2014.7004278 ◽

2014 ◽

Cited By ~ 19

Author(s):

Robert Pienta ◽

Acar Tamersoy ◽

Hanghang Tong ◽

Duen Horng Chau

Keyword(s):

Attributed Graphs

Understanding the role of medical experts during a public health crisis digital tools and library resources for research on the 1918 Spanish influenza

2014 IEEE International Conference on Big Data (Big Data) ◽

10.1109/bigdata.2014.7004451 ◽

2014 ◽

Author(s):

E. Thomas Ewing ◽

Samah Gad ◽

Naren Ramakrishnan ◽

Jeffrey S. Reznick

Keyword(s):

Public Health ◽

Digital Tools ◽

Health Crisis ◽

Public Health Crisis ◽

Spanish Influenza ◽

Library Resources

An initial study of predictive machine learning analytics on large volumes of historical data for power system applications

2014 IEEE International Conference on Big Data (Big Data) ◽

10.1109/bigdata.2014.7004327 ◽

2014 ◽

Cited By ~ 27

Author(s):

Jiang Zheng ◽

Aldo Dagnino

Keyword(s):

Machine Learning ◽

Power System ◽

Learning Analytics ◽

Historical Data ◽

Initial Study

Towards integrating the detection of genetic variants into an in-memory database

2014 IEEE International Conference on Big Data (Big Data) ◽

10.1109/bigdata.2014.7004389 ◽

2014 ◽

Cited By ~ 1

Author(s):

Cindy Fahnrich ◽

Matthieu-P. Schapranow ◽

Hasso Plattner

Keyword(s):

Genetic Variants

Examination of data, rule generation and detection of phishing URLs using online logistic regression

2014 IEEE International Conference on Big Data (Big Data) ◽

10.1109/bigdata.2014.7004239 ◽

2014 ◽

Cited By ~ 13

Author(s):

Mohammed Nazim Feroz ◽

Susan Mengel

Keyword(s):

Logistic Regression ◽

Rule Generation

Fractional greedy and partial restreaming partitioning: New methods for massive graph partitioning

2014 IEEE International Conference on Big Data (Big Data) ◽

10.1109/bigdata.2014.7004368 ◽

2014 ◽

Cited By ~ 4

Author(s):

Ghizlane Echbarthi ◽

Hamamache Kheddouci

Keyword(s):

Graph Partitioning ◽

New Methods

Empowering users of social networks to assess their privacy risks

2014 IEEE International Conference on Big Data (Big Data) ◽

10.1109/bigdata.2014.7004287 ◽

2014 ◽

Cited By ~ 5

Author(s):

Vladimir Estivill-Castro ◽

Peter Hough ◽

Md Zahidul Islam

Keyword(s):

Social Networks ◽

Privacy Risks

2014 IEEE International Conference on Big Data (Big Data)Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

Rainbow: A distributed and hierarchical RDF triple store with dynamic scalability

A standard for benchmarking big data systems

Knowledge based dimensionality reduction for technical text mining

MAGE: Matching approximate patterns in richly-attributed graphs

Understanding the role of medical experts during a public health crisis digital tools and library resources for research on the 1918 Spanish influenza

An initial study of predictive machine learning analytics on large volumes of historical data for power system applications

Towards integrating the detection of genetic variants into an in-memory database

Examination of data, rule generation and detection of phishing URLs using online logistic regression

Fractional greedy and partial restreaming partitioning: New methods for massive graph partitioning

Empowering users of social networks to assess their privacy risks

2014 IEEE International Conference on Big Data (Big Data)
Latest Publications