A. Modeling and Analytics 1. Document Informatics for Scientific Learning and Accelerated Discovery, Venu Govindaraju, Ifeoma Nwogu and Srirangaraj Setlur 2. An Introduction to Rare Event Simulation and Importance Sampling, Gino Biondini 3. A Large-scale Study of Language Usage as a Cognitive Biometric Trait, Neeti Pokhriyal, Ifeoma Nwogu and Venu Govindaraju 4. Customer Selection Utilizing Big Data Analytics, Jung Suk Kwac and Ram Rajagopal 5. Continuous Model Selection for Large-scale Recommender Systems, Simon Chan and Philip Treleaven 6. Zero-Knowledge Mechanisms for Private Release of Social Graph Summarization, Maryam Shoaran, Alex Thomo and Jens H. Weber 7. Distributed Confidence-Weighted Classification on Big Data Platforms, Nemanja Djuric, Slobodan Vucetic and Mihalo Grbovic B. Applications and Infrastructure 8. Big Data Applications in Health Sciences and Epidemiology, Saumyadipta Pyne, Madhav Marathe and Anil Kumar S. Vullikanti 9. Big Data Driven Natural Language Processing Research and Applications, Venkat N. Gudivada, Dhana Rao and Vijay V. Raghavan 10. Analyzing Big Spatial & Big Spatiotemporal Data: A Case Study of Methods and Applications, Varun Chandola, Ranga Raju Vatsavai, Devashish Kumar and Auroop Ganguly 11. Experimental Computational Simulation Environments for Socio-Economic-Financial Analytics, Michal Galas 12. Terabyte-Scale Image Similarity Search, Diana Moise and Denis Shestakov 13. Measuring Inter-Site Engagement in a Network of Sites, Janette Lehmann, Mounia Lalmas and Ricardo Baeza-Yates 14. Scaling RDF Triple Stores in Size and Performance: Modeling SPARQL Queries as Graph Homomorphism Routines, Vito Giovanni Castellana, Jesse Weaver, Alessandro Morari, Antonino Tumeo, David Haglin, John Thomas Feo and Oreste Villa
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Big data analytics. ISBN 9780444634979. Published by Elsevier in 2015. Publication and catalogue information, links to buy online and reader comments.
