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Handbook of research on big data clustering and machine learning
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| 자료유형 | 단행본 |
|---|---|
| 서명/저자사항 | Handbook of research on big data clustering and machine learning/ [edited by] Fausto Pedro Garcia Marquez. |
| 개인저자 | Garci?a Ma?rquez, Fausto Pedro,editor, |
| 단체저자명 | IGI Global,publisher. |
| 형태사항 | 1 online resource (xxi, 478 pages). |
| 총서사항 | Advances in data mining and database management (ADMDM) book series |
| 기타형태 저록 | Print version: 1799801063 9781799801061 |
| ISBN | 1799801071 9781799801078 |
| 기타표준부호 | 10.4018/978-1-7998-0106-1doi |
| 서지주기 | Includes bibliographical references and index. |
| 내용주기 | Chapter 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"-- |
| 해제 | Provided by publisher. |
| 일반주제명 | Big data --Research --Handbooks, manuals, etc. Cluster analysis --Research --Handbooks, manuals, etc. Machine learning --Research --Handbooks, manuals, etc. |
| 언어 | 영어 |
| 바로가기 |  |
