An Algorithm to Retrieve Unclear Information with Link Analysis Mining Methods |
Author(s): |
| Avruti Patel , Swaminarayan College of Engineering And Technology, Kalol, GTU, India; Naimish Patel, Swaminarayan College of Engineering And Technology, Kalol, GTU, India |
Keywords: |
| Web Mining, Link Analysis, Markov Chain, Hyper- Link Induced Topic Search (HITS) Algorithm |
Abstract |
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Data Mining is increasingly important technology for extracting useful pattern from large amount of data. Link Analysis as an extension of relational database to effectively discover relationships between relational databases or graph. Markov Chain is based on in this work. This work can be useful on single and multiple relation databases. markov chain consist of two steps, first is markov chains are defined, it analyzes too many states. In second step Diffusion map can be calculated. Also applying this technique for fuzzy information retrievals can improve overall performance in relational database. As base paper conclusion, the HITS algorithm sometimes does not relevant results to the user query because of the equivalent weights and it’s not efficient in real time. We will implement HITS with modification and provide better results by solving these problems. |
Other Details |
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Paper ID: IJSRDV4I30952 Published in: Volume : 4, Issue : 3 Publication Date: 01/06/2016 Page(s): 880-882 |
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