| 000 | 01292cam a2200265 a 4500 | ||
|---|---|---|---|
| 003 | EG-GiCUC | ||
| 005 | 20250223031021.0 | ||
| 008 | 140803s2012 ua f m 000 0 eng d | ||
| 040 |
_aEG-GiCUC _beng _cEG-GiCUC |
||
| 041 | 0 | _aeng | |
| 049 | _aGift | ||
| 097 | _aM.Sc | ||
| 099 | _aCai01.34.M.Sc.2012.Ay.T | ||
| 100 | 0 | _aAya M. Rizk | |
| 245 | 1 | 0 |
_aTrajectory data analysis in support of understanding movement patterns : _bA data mining approach / _cAya M. Rizk ; Supervised Ahmed Elragal |
| 260 |
_aCairo : _bAya M. Rizk , _c2012 |
||
| 300 |
_a92 Leaves ; _c30cm |
||
| 502 | _aThesis (M.Sc.) - German University - Faculty of Postgraduate Studies and Scientific Research - Department of Business Informatics | ||
| 520 | _aThe continuous advancement in wireless technology, mobile devices and networking infrastructures lead to unprecedented amounts of data being captured every second. Data captured from the digital traces of these moving objects and devices is called trajectory data. With its ever increasing volume, constructive and meaningful knowledge needs to be extracted for practical applications | ||
| 700 | 0 |
_aAhmed Elragal , _eSupervisor |
|
| 856 | _uhttp://172.23.153.220/th.pdf | ||
| 905 |
_aNazla _eRevisor |
||
| 905 |
_aSamia _eCataloger |
||
| 942 |
_2ddc _cTH |
||
| 999 |
_c46704 _d46704 |
||