| 000 | 00329nam a2200121Ia 4500 | ||
|---|---|---|---|
| 999 |
_c199677 _d199677 |
||
| 020 | _a9780128146231 | ||
| 040 | _cDepartment of Computer Applications | ||
| 100 | _aSimske, Steven | ||
| 245 | 0 |
_aMeta-analytics/ _cSteven Simske |
|
| 260 |
_bElsevier, _c2019. |
||
| 300 | _a340 p. | ||
| 505 | _aChapter 1 - Introduction, overview, and applications Chapter 2 - Ground truthing Chapter 3 - Experimental design Chapter 4 - Meta-analytic design patterns Chapter 5 - Sensitivity analysis and big system engineering Chapter 6 - Multipatch predictive selection Chapter 7 - Modeling and model fitting Chapter 8 - Synonym-antonym and reinforce-void patterns Chapter 9 - Analytics around analytics Chapter 10 - System design optimization Chapter 11 - Aleatory and expert system techniques Chapter 12 - Application I: Topics and challenges in machine translation, robotics, and biological sciences Chapter 13 - Application II: Medical and health-care informatics, economics, business, and finance Chapter 14 - Discussion, conclusions, and the future of data | ||
| 650 | _aData mining | ||
| 856 | _uhttps://www.sciencedirect.com/science/book/9780128146231 | ||
| 942 | _cEBK | ||