| 000 | 00898nam a2200193 4500 | ||
|---|---|---|---|
| 999 |
_c43004 _d43004 |
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| 040 | _cRiphah International University | ||
| 082 |
_a004 _bTAY |
||
| 100 | _aTayyab Naeem (S19A14G05036) | ||
| 245 | _aAn efficient and intelligent crime anomaly detection system for large urban area using hybrid machine learning techniques | ||
| 260 |
_aFaisalabad _b(unpublished) _c2021 |
||
| 300 |
_axiii, 50 p. _b: ill. _c; 30 cm. |
||
| 500 | _aSubmitted In fulfillment of the requirement for the degree of Master of Sciences in Computer Science to the Faculty of Computing. | ||
| 500 | _aIncludes bibliographical references and appendix. | ||
| 500 | _aThesis supervisor: Mr. Muhammad Kashif Nazir | ||
| 502 | _aThesis (MSCS)--Riphah International University, 2021 | ||
| 546 | _aEnglish | ||
| 650 |
_aComputer science _aIntelligent Crime _vCrime _vLearning techniques _vTechnology _vFC |
||
| 942 | _cBK | ||