| LDR | | 04098cam a2200517Ii 4500 |
| 001 | | 000000479630 |
| 005 | | 20230210093917 |
| 006 | | m e d |
| 007 | | cr bn||||m|||a |
| 008 | | 191112s2020 pau fobf 001 0 eng d |
| 020 | |
▼a 1799801071
▼q (electronic book) |
| 020 | |
▼a 9781799801078
▼q (electronic bk.) |
| 020 | |
▼z 9781799801061
▼q (hardcover) |
| 020 | |
▼z 1799801063
▼q (hardcover) |
| 024 | 7 |
▼a 10.4018/978-1-7998-0106-1
▼2 doi |
| 035 | |
▼a 2291122
▼b (N$T) |
| 035 | |
▼a (OCoLC)1127443232 |
| 040 | |
▼a IGIGL
▼b eng
▼e rda
▼c IGIGL
▼d OCLCO
▼d YDXIT
▼d OCL
▼d CDN
▼d N$T
▼d 247004 |
| 050 | 4 |
▼a QA76.9.B45
▼b H366 2020 |
| 082 | 04 |
▼a 005.7
▼2 23 |
| 245 | 00 |
▼a Handbook of research on big data clustering and machine learning/
▼c [edited by] Fausto Pedro Garcia Marquez. |
| 264 | 1 |
▼a Hershey, PA :
▼b Engineering Science Reference (an imprint of IGI Global),
▼c [2020] |
| 300 | |
▼a 1 online resource (xxi, 478 pages). |
| 336 | |
▼a text
▼b txt
▼2 rdacontent |
| 337 | |
▼a electronic
▼b c
▼2 isbdmedia |
| 338 | |
▼a online resource
▼b cr
▼2 rdacarrier |
| 490 | 1 |
▼a Advances in data mining and database management (ADMDM) book series |
| 504 | |
▼a Includes bibliographical references and index. |
| 505 | 0 |
▼a 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. |
| 520 | |
▼a "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"--
▼c Provided by publisher. |
| 588 | |
▼a Description based on online resource; title from digital title page (viewed on November 27, 2019). |
| 590 | |
▼a Added to collection customer.56279.3 |
| 650 | 0 |
▼a Big data
▼x Research
▼v Handbooks, manuals, etc. |
| 650 | 0 |
▼a Cluster analysis
▼x Research
▼v Handbooks, manuals, etc. |
| 650 | 0 |
▼a Machine learning
▼x Research
▼v Handbooks, manuals, etc. |
| 655 | 7 |
▼a Handbooks and manuals.
▼2 fast
▼0 (OCoLC)fst01423877 |
| 655 | 4 |
▼a Electronic books. |
| 700 | 1 |
▼a Garci?a Ma?rquez, Fausto Pedro,
▼e editor, |
| 710 | 2 |
▼a IGI Global,
▼e publisher. |
| 776 | 08 |
▼i Print version:
▼z 1799801063
▼z 9781799801061
▼w (DLC) 2019016785 |
| 830 | 0 |
▼a Advances in data mining and database management (ADMDM) book series. |
| 856 | 40 |
▼3 EBSCOhost
▼u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2291122 |
| 938 | |
▼a EBSCOhost
▼b EBSC
▼n 2291122 |
| 990 | |
▼a ***1818828 |
| 991 | |
▼a E-BOOK |
| 994 | |
▼a 92
▼b N$T |