An efficient and intelligent crime anomaly detection system for large urban area using hybrid machine learning techniques (Record no. 43004)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 00898nam a2200193 4500 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | Riphah International University |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 004 |
| Author Mark | TAY |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Authorship | Tayyab Naeem (S19A14G05036) |
| 245 ## - TITLE STATEMENT | |
| Title | An efficient and intelligent crime anomaly detection system for large urban area using hybrid machine learning techniques |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Faisalabad |
| Name of publisher | (unpublished) |
| Date of publication | 2021 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xiii, 50 p. |
| Illustrations | : ill. |
| Dimensions | ; 30 cm. |
| 500 ## - GENERAL NOTE | |
| General note | Submitted In fulfillment of the requirement for the degree of Master of Sciences in Computer Science to the Faculty of Computing.<br/> |
| 500 ## - GENERAL NOTE | |
| General note | Includes bibliographical references and appendix.<br/> |
| 500 ## - GENERAL NOTE | |
| General note | Thesis supervisor: Mr. Muhammad Kashif Nazir<br/> |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (MSCS)--Riphah International University, 2021<br/> |
| 546 ## - LANGUAGE NOTE | |
| Language note | English |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Subject | Computer science |
| -- | Intelligent Crime |
| Keywords | Crime |
| -- | Learning techniques |
| -- | Technology |
| -- | FC |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| item type | Books |
| Not for loan | Home library | Current library | Source of acquisition | Full call number | Barcode | Copy number | Koha item type |
|---|---|---|---|---|---|---|---|
| Faisalabad Campus | Faisalabad Campus | Riphah International University | 004 TAY | 82789 | 1 | Books |