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The analysis method of primary data for monitoring social processes using Big Data and fuzzy criteria
| Theme: | , Physical and mathematical sciences | |
| Author: | Bozhday Alexander , Бершадский Александр Моисеевич , Тимонин Алексей Юрьевич | |
| Annotation: | The presented work deals with mathematical models' development for determining the significance degree of the social information. It contained in unstructured raw data from public web-sources. The significance criteria of social environment descriptions based on fuzzy logic and probability theory methods. Also, the set theory apparatus used to represent the extracted social objects. Results implementation allows to improve the data relevance and reliability determining in the social profiling system based on Big Data. | |
| Type: | Article | |
| Kind: | Electronic copy | |
| Parts: | 1 | |
| The year of publishing: | 2020 | |
| Publishing house: | CEUR-WS | |
| Publishing place: | CEUR Workshop Proceedings | |
| The target audience: | Researcher | |
| Special purpose: | Scientific | |
| Copyright holder: | Тимонин А.Ю., Бождай А.С., Бершадский А.М. | |
| ISSN: | 1613-0073 | |
| Bibliographic reference: | Timonin A.Y., Bershadsky A.M., Bozhday A.S. THE ANALYSIS METHOD OF PRIMARY DATA FOR MONITORING SOCIAL PROCESSES USING BIG DATA AND FUZZY CRITERIA // CEUR Workshop Proceedings. APSSE 2019 - Proceedings of the 6th International Conference Actual Problems of System and Software Engineering. 2019. CEUR-WS, PP. 329-335. | |
| Pages: | 329-335 | |
| Url: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85076966183&origin=inward | |
| Language: | English | |
| Post date: | 23.11.2020 |