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Handbook of research on big data clustering and machine learning / [electronic resource]

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자료유형E-Book
개인저자Garci?a Ma?rquez, Fausto Pedro, editor.
단체저자명IGI Global,publisher.
서명/저자사항Handbook of research on big data clustering and machine learning /[edited by] Fausto Pedro Garcia Marquez.[electronic resource]
형태사항1 online resource (xxi, 478 pages)
총서사항Advances in data mining and database management (ADMDM) book series
소장본 주기Added to collection customer.56279.3
ISBN1799801071
9781799801078


기타표준부호10.4018/978-1-7998-0106-1doi
서지주기Includes bibliographical references and index.
내용주기Chapter 1. Big data and clustering techniques -- Chapter 2. Big data analytics and models -- Chapter 3. Technologies for handling big data -- Chapter 4. Clustering and bayesian networks -- Chapter 5. Analysis of gravitation-based optimization algorithms for clustering and classification -- Chapter 6. Analytics and technology for practical forecasting -- Chapter 7. Modern statistical modeling in machine learning and big data analytics: statistical models for continuous and categorical variables -- Chapter 8. Enhanced logistic regression (ELR) model for big data -- Chapter 9. On foundations of estimation for nonparametric regression with continuous optimization -- Chapter 10. An overview of methodologies and challenges in sentiment analysis on social networks -- Chapter 11. Evaluation of optimum and coherent economic-capital portfolios under complex market prospects -- Chapter 12. Data-driven stochastic optimization for transportation road network design under uncertainty -- Chapter 13. Examining visitors' characteristics and behaviors in tourist destinations through mobile phone users' location data -- Chapter 14. Machine learning for smart tourism and retail -- Chapter 15. Predictive analysis of robotic manipulators through inertial sensors and pattern recognition -- Chapter 16. Call masking: a worrisome trend in Nigeria's telecommunications industry -- Chapter 17. An optimized three-dimensional clustering for microarray data -- Chapter 18. Identifying patterns in fresh produce purchases: the application of machine learning techniques -- Chapter 19. Urban spatial data computing: integration of GIS and GPS towards location-based recommendations.
요약"This book examines the relationship between the analytic principles of clustering and machine learning to big data. It also explores the connection between engineering/technology and the organizational, administrative, and planning abilities of management"--
일반주제명Big data -- Research -- Handbooks, manuals, etc.
Cluster analysis -- Research -- Handbooks, manuals, etc.
Machine learning -- Research -- Handbooks, manuals, etc.
언어영어
기타형태 저록Print version:17998010639781799801061
대출바로가기https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2291122

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