Abstract
Contents of the internet is rapidly growing day by day. To reach the information we search on the internet, we're using internet search engines, which can return millions of search results depends on the query. Finding the information needed on the search results can be a massive problem. Search result clustering is a useful operation to solve this problem. One of the most popular search result clustering algorithm is Suffix Tree Clustering can achieve successful results. In this work, we try to improve Suffix Tree Clustering to get more successful results on clustering Turkish web search results.
Keywords
Cluster analysis
Computer science
The Internet
Data mining
Search engine
Suffix
Information retrieval
Turkish
Machine learning
World Wide Web
Subject Areas
Web Data Mining and Analysis
·Information Systems ·Physical Sciences
Algorithms and Data Compression
·Artificial Intelligence ·Physical Sciences
Advanced Image and Video Retrieval Techniques
·Computer Vision and Pattern Recognition ·Physical Sciences
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