| Type of Material: | Thesis |
| Title: | Framework for Analysing Diverse Patterns on Web and Social Media Through Data Analytics |
| Researcher: | Gnanasambandan, P |
| Guide: | Kumaravel, A |
| Department: | Department of Information Technology |
| Publisher: | Bharath University, Chennai |
| Place: | Chennai |
| Year: | 2022 |
| Language: | English |
| Subject: | Computer Science | Computer Science Interdisciplinary Applications | Engineering and Technology | Computer Science and Information Technology | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Information Technology, Bharath University, Chennai, Chennai; 2022; D14CS513 |
| Fulltext: | Shodhganga |
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| 008 | __ | 240923t2022||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_455095 |
| 040 | __ | |aBHAU_600073|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aGnanasambandan, P|eResearcher |
| 110 | __ | |aDepartment of Information Technology|bBharath University, Chennai|dChennai|ein|0U-0446 |
| 245 | __ | |aFramework for Analysing Diverse Patterns on Web and Social Media Through Data Analytics |
| 260 | __ | |aChennai|bBharath University, Chennai|c2022 |
| 300 | __ | |dDVD |
| 502 | __ | |bPhD|cDepartment of Information Technology, Bharath University, Chennai, Chennai|d2022|oD14CS513 |
| 520 | __ | |aThe advancement of internet technology and the dynamic nature of World Wide Web attract large number of users for publishing and retrieving information. But due to the heterogeneous and huge quantity of data, most of the information on the web is uninteresting to the users. Thus developing effective algorithm for retrieving the relevant information without accessing the complete data; at the outset, it has become an important concern among the Web mining research communities. Though most researchers focused their research work in this area, still their focus is only on retrieving similar patterns by leaving dissimilar patterns which are likely to contain the outlying data. This work concentrates on mining web content outliers which extracts the dissimilar web document taken from a group of documents of the same domain. Moreover, mining web content outliers helps in promoting business activities and improving the quality of the search results. In this work, a novel mathematical approach based on proportionat |
| 650 | __ | |aComputer Science and Information Technology|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aComputer Science |
| 653 | __ | |aComputer Science Interdisciplinary Applications |
| 653 | __ | |aEngineering and Technology |
| 700 | __ | |aKumaravel, A|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/393258|yShodhganga |
| 905 | __ | |afromsg |
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