{"product_id":"big-data-analytics-hardback-9780444634924","title":"Big Data Analytics (Hardback) 9780444634924","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eBig Data Analytics\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003e\u003cp\u003eTracking the evolution of Big Data, focusing on timely topics such as data mining and analytics\u003c\/p\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eVenu Govindaraju (Volume editor), Vijay Raghavan (Volume editor), C.R. Rao (Volume editor)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780444634924, Elsevier Science\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 7 July 2015\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e390 pages\u003cbr\u003e22.9 x 15.1 x 2.6 cm, 0.53 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\"...a handbook meant for researchers and practitioners that are familiar with the basic concepts and techniques of data mining and statistics...a consistent and smooth flowing writing style.\" --\u003cb\u003eKDnuggets\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\"A book that balances the numeric, text, and categorical data mining with a true big data perspective. \" --\u003cb\u003eKdnuggets\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\"Professors Venu Givindaraju, Vijay Raghavan \u0026amp; C. R. Rao, have done a brilliant job by tackling these complex issues in their edited book: Big Data Analytics (Handbook of Statistics, Volume 33), under Elsevier.\" --\u003cb\u003eThe Indian Economist\u003c\/b\u003e\u003c\/p\u003e\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eWhile the term Big Data is open to varying interpretation, it is quite clear that the Volume, Velocity, and Variety (3Vs) of data have impacted every aspect of computational science and its applications. The volume of data is increasing at a phenomenal rate and a majority of it is unstructured. With big data, the volume is so large that processing it using traditional database and software techniques is difficult, if not impossible. The drivers are the ubiquitous sensors, devices, social networks and the all-pervasive web. Scientists are increasingly looking to derive insights from the massive quantity of data to create new knowledge. In common usage, Big Data has come to refer simply to the use of predictive analytics or other certain advanced methods to extract value from data, without any required magnitude thereon. Challenges include analysis, capture, curation, search, sharing, storage, transfer, visualization, and information privacy. While there are challenges, there are huge opportunities emerging in the fields of Machine Learning, Data Mining, Statistics, Human-Computer Interfaces and Distributed Systems to address ways to analyze and reason with this data. The edited volume focuses on the challenges and opportunities posed by \"Big Data\" in a variety of domains and how statistical techniques and innovative algorithms can help glean insights and accelerate discovery. Big data has the potential to help companies improve operations and make faster, more intelligent decisions.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eA. Modeling and Analytics \u003c\/b\u003e1. Document Informatics for Scientific Learning and Accelerated Discovery, \u003ci\u003eVenu Govindaraju, Ifeoma Nwogu and Srirangaraj Setlur \u003c\/i\u003e2. An Introduction to Rare Event Simulation and Importance Sampling, \u003ci\u003eGino Biondini \u003c\/i\u003e3. A Large-scale Study of Language Usage as a Cognitive Biometric Trait, \u003ci\u003eNeeti Pokhriyal, Ifeoma Nwogu and Venu Govindaraju \u003c\/i\u003e4. Customer Selection Utilizing Big Data Analytics, \u003ci\u003eJung Suk Kwac and Ram Rajagopal \u003c\/i\u003e5. Continuous Model Selection for Large-scale Recommender Systems, \u003ci\u003eSimon Chan and Philip Treleaven \u003c\/i\u003e6. Zero-Knowledge Mechanisms for Private Release of Social Graph Summarization, \u003ci\u003eMaryam Shoaran, Alex Thomo and Jens H. Weber \u003c\/i\u003e7. Distributed Confidence-Weighted Classification on Big Data Platforms, \u003ci\u003eNemanja Djuric, Slobodan Vucetic and Mihalo Grbovic\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eB. Applications and Infrastructure \u003c\/b\u003e8. Big Data Applications in Health Sciences and Epidemiology, \u003ci\u003eSaumyadipta Pyne, Madhav Marathe and Anil Kumar S. Vullikanti \u003c\/i\u003e9. Big Data Driven Natural Language Processing Research and Applications, \u003ci\u003eVenkat N. Gudivada, Dhana Rao and Vijay V. Raghavan \u003c\/i\u003e10. Analyzing Big Spatial \u0026amp; Big Spatiotemporal Data: A Case Study of Methods and Applications, \u003ci\u003eVarun Chandola, Ranga Raju Vatsavai, Devashish Kumar and Auroop Ganguly \u003c\/i\u003e11. Experimental Computational Simulation Environments for Socio-Economic-Financial Analytics, \u003ci\u003eMichal Galas \u003c\/i\u003e12. Terabyte-Scale Image Similarity Search, \u003ci\u003eDiana Moise and Denis Shestakov \u003c\/i\u003e13. Measuring Inter-Site Engagement in a Network of Sites, \u003ci\u003eJanette Lehmann, Mounia Lalmas and Ricardo Baeza-Yates \u003c\/i\u003e14. Scaling RDF Triple Stores in Size and Performance: Modeling SPARQL Queries as Graph Homomorphism Routines, \u003ci\u003eVito Giovanni Castellana, Jesse Weaver, Alessandro Morari, Antonino Tumeo, David Haglin, John Thomas Feo and Oreste Villa\u003c\/i\u003e\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Applied mathematics [\u003ca title=\"See our other books on Applied mathematics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Applied%20mathematics%20%5BPBW%5D%22\"\u003ePBW\u003c\/a\u003e], Probability \u0026amp; statistics [\u003ca title=\"See our other books on Probability \u0026amp; statistics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Probability%20\u0026amp;%20statistics%20%5BPBT%5D%22\"\u003ePBT\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"North Holland","offers":[{"title":"Default Title","offer_id":46651508523288,"sku":"9780444634924","price":121.48,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780444634924_9e094dd5-202d-4191-8e81-50f5774075a7.jpg?v=1694987309","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/big-data-analytics-hardback-9780444634924","provider":"Freshly Printed Books","version":"1.0","type":"link"}