Information Retrieval System Based on Similarity-Based Clustering Method
碩士 === 中原大學 === 應用數學研究所 === 100 === Because of the rapid spread of Internet, it has become an important tool for human life. Since the range of information on Internet is wide, the amount of information for searching academic papers becomes very large. To create an information system for quickly sea...
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ndltd-TW-100CYCU55070292015-10-13T21:32:34Z http://ndltd.ncl.edu.tw/handle/31220053147495116512 Information Retrieval System Based on Similarity-Based Clustering Method 可能性聚類演算法應用於資訊檢索之研究 JUN-JIE ZHANG 張濬杰 碩士 中原大學 應用數學研究所 100 Because of the rapid spread of Internet, it has become an important tool for human life. Since the range of information on Internet is wide, the amount of information for searching academic papers becomes very large. To create an information system for quickly searching relative knowledge is essential. Most clustering algorithms used for association rules between words are hierarchical clustering. Therefore, in this thesis, we use a robust possibilistic clustering method for achieving better association rules between words. In this study, there are 60 papers retrieved from a website as samples for experimental comparisons. We find that the inferred association rules using our method are indeed with better results. Miin-Shen Yang 楊敏生 2012 學位論文 ; thesis 24 zh-TW |
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碩士 === 中原大學 === 應用數學研究所 === 100 === Because of the rapid spread of Internet, it has become an important tool for human life. Since the range of information on Internet is wide, the amount of information for searching academic papers becomes very large. To create an information system for quickly searching relative knowledge is essential. Most clustering algorithms used for association rules between words are hierarchical clustering. Therefore, in this thesis, we use a robust possibilistic clustering method for achieving better association rules between words. In this study, there are 60 papers retrieved from a website as samples for experimental comparisons. We find that the inferred association rules using our method are indeed with better results.
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Miin-Shen Yang |
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Miin-Shen Yang JUN-JIE ZHANG 張濬杰 |
author |
JUN-JIE ZHANG 張濬杰 |
spellingShingle |
JUN-JIE ZHANG 張濬杰 Information Retrieval System Based on Similarity-Based Clustering Method |
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JUN-JIE ZHANG |
title |
Information Retrieval System Based on Similarity-Based Clustering Method |
title_short |
Information Retrieval System Based on Similarity-Based Clustering Method |
title_full |
Information Retrieval System Based on Similarity-Based Clustering Method |
title_fullStr |
Information Retrieval System Based on Similarity-Based Clustering Method |
title_full_unstemmed |
Information Retrieval System Based on Similarity-Based Clustering Method |
title_sort |
information retrieval system based on similarity-based clustering method |
publishDate |
2012 |
url |
http://ndltd.ncl.edu.tw/handle/31220053147495116512 |
work_keys_str_mv |
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1718065514488528896 |