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Clustering and Ranking For PDF Files Using Spectral Clustering
| Content Provider | Semantic Scholar |
|---|---|
| Copyright Year | 2015 |
| Abstract | Data mining is the process of extracting the resource. The dynamic web has increased exponentially over the past five years with more than thousands of documents. The important resources on the web due to the constant requirements of people to use this online information in real life. To retrieve the top web documents and to reduce the search time clustering and ranking method is used. Here we cluster the scientific papers (pdf) and provide ranking for researchers. For clustering and ranking we proposed an approach called spectral clustering and cosine similarity. Keywords—Clustering, Ranking, Spectral Clustering, Cosine Similarity, Preprocessing. —————————— —————————— |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://ijtet.com/wp-content/plugins/ijtet/file/upload/docx/3715ICTTE266-pdf.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |