Classification of a startup into product, service or solution company (Record no. 6122)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 01583nam a22001817a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220107122841.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 180605b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | IIITMK |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Sutirtha Bhattacharyya (91616014) |
| 9 (RLIN) | 14336 |
| 245 ## - TITLE STATEMENT | |
| Title | Classification of a startup into product, service or solution company |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | MSC MI 2016-2018 |
| 500 ## - GENERAL NOTE | |
| General note | The project aims to use machine learning approach to classify a startup into <br/>either product or service or solutions category based on its sectors of operation <br/>(e.g. AI, IoT, Cyber Security etc). Due to the massive number of existing <br/>startups, and new startups emerging everyday, an automated approach must be <br/>taken to categorise them quickly and efficiently. The sectors of operation are <br/>basically the fields in which a startup operates, hence what they provide as a <br/>company can be easily derived from these sectors. Hence the combination of the <br/>sectors of a company will define its category, and the aim of the project is to <br/>develop a machine learning algorithm that will utilise this principle to find the <br/>category of a company given its sectors. The future purpose this algorithm <br/>would be deployment as a service and integration into other systems or <br/>programs, and also to make other classifications based on similar data. <br/><br/><br/> |
| 502 ## - DISSERTATION NOTE | |
| Degree type | MSC MI |
| Name of granting institution | 2016-2018 |
| Year degree granted | INT |
| -- | Mr. Pradeep Kumar K |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | STARTUP |
| 9 (RLIN) | 14337 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | MACHINE LEARNING |
| 9 (RLIN) | 14338 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Non Fiction | IIITM-K | Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre | 05/06/2018 | R-1416 | 05/06/2018 | 05/06/2018 | Project Reports |