A machine learning-based tool to predict playability for games (Record no. 34361)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 00860nam a22001937a 4500 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | Riphah International University |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.312 |
| Author Mark | NOM |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Authorship | Noman Khan (20929) |
| 245 ## - TITLE STATEMENT | |
| Title | A machine learning-based tool to predict playability for games |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Islamabad |
| Name of publisher | (unpublished) |
| Date of publication | 2021 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | x, 36 p. |
| Illustrations | : ill., Col., |
| Dimensions | ; 30 cm. |
| Accompanying material | +CD |
| 500 ## - GENERAL NOTE | |
| General note | Submitted in fulfillment of the requirements for the degree of Master of Sciences in Software Engineering to the Faculty of Computing. |
| 500 ## - GENERAL NOTE | |
| General note | Includes bibliographical references |
| 500 ## - GENERAL NOTE | |
| General note | Thesis supervisor: Dr. Adeel Zafar |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (MS)--Riphah International University, 2021 |
| 546 ## - LANGUAGE NOTE | |
| Language note | English |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Subject | Machine learning |
| Keywords | Games methods |
| -- | Games description |
| -- | Games playability |
| -- | Video games |
| -- | Playability measures |
| -- | Software engineering |
| -- | FC |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| item type | Thesis |
| Not for loan | Home library | Current library | Source of acquisition | Full call number | Barcode | Copy number | Koha item type |
|---|---|---|---|---|---|---|---|
| NOT for LOAN | Main Campus | Main Campus | Riphah International university | 006.312 NOM | 68110 | 1 | Thesis |