AI SearchApplying data mining techniques on yelp challenge dataset (Record no. 7336)
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| System control number | .b12345507 |
| 099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Classification number | AIT RSPR no.CS-17-01 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Vyshnavi, Raja |
| 245 10 - TITLE STATEMENT | |
| Title | Applying data mining techniques on yelp challenge dataset |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Pathum Thani, Thailand : |
| Name of publisher, distributor, etc. | Asian Institute of Technology, |
| Date of publication, distribution, etc. | 2017 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (63 p.) : |
| Other physical details | ill. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Research studies project report ; |
| Volume/sequential designation | no. CS-17-01 |
| 500 ## - GENERAL NOTE | |
| General note | A research report submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Computer Science, School of Engineering and Technology |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 2017 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Mining techniques have proven to be effective in exploring data.In my research study I want to use Data mining Techniques on the Yelp Data set.Yelp is one of the best website for users to review the local business of different categories . Users write text reviews about the business and each business have different business categories. There is an Data set challenge given by Yelp to the students to use the data in a innovative way . The problem statement of my research study is to predict the business categories of the business based on the user review. The main idea here is to apply data mining algorithms like Nave Bayes, SVM, Logistic regression, ML-KNN on the yelp data set and predict the categories from the user reviews for these classifiers formed and calculate the accuracy of the classifiers. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data mining |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer algorithms |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Guha, Sumanta, |
| Relator term | Chairperson |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Phan, Minh Dung, |
| Relator term | Examination Committee |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Chutiporn Anutariya, |
| Relator term | Examination Committee |
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| Corporate name or jurisdiction name as entry element | Asian Institute of Technology Fellowship, |
| Relator term | Scholarship Donor |
| 810 2# - SERIES ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Asian Institute of Technology. |
| Title of a work | Research studies project report ; |
| Volume/sequential designation | no. CS-17-01 |
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| Materials specified | Full-Text |
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| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | Archives | 17/08/2026 | AIT RSPR no.CS-17-01 | 30050120891089 | 17/08/2026 | 1 | 17/08/2026 | 40-Archives | |||||
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | Archives | 17/08/2026 | AIT RSPR no.CS-17-01 | 17/08/2026 | 17/08/2026 | 61-CD-ROM | |||||||
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | AIT Publications | 17/08/2026 | AIT RSPR no.CS-17-01 | 30050120978977 | 17/08/2026 | 1 | 17/08/2026 | 20-AIT Publication | 50.00 | ||||
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | AIT Publications | 17/08/2026 | AIT RSPR no.CS-17-01 | 30050120978969 | 17/08/2026 | 2 | 17/08/2026 | 20-AIT Publication | 50.00 |