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In this study, we present a novel approach to recommend the personalized book lists for the university members. Our approach consists of clustering the university members into different clusters based on their recent circulation activities and discovering the interest patterns of members in the cluster. In the first step, we clustered members sharing the common interests to the same cluster by using...
Vandalism is a main problem of the Wikipedia and other content management systems that have open-edit policy. Due to its popularity, Wikipedia has been attacked very regularly. To detect and clean up these bad contents, it requires a lot of human time to inspect the changes between revisions which should not be much wasted for such task. There have been many attempts to alleviate vandalisms. Some...
Several data management applications rely on data clustering methods which are usually designed to handle a static object as a single point in space. In recent years, clustering static objects seems to reach a stable point. Clustering uncertain objects is more challenging than clustering static objects and currently, it is actively studied in data mining clustering researches. In this paper, we study...
The classification of semantic human images is an active problem in interpreting multimedia images. Many researchers have attempted to improve the semantic model by using semantic action concepts. Although previous techniques, such as keyword definition and using content features of human action, have been applied, most results indicate that human images cannot be mapped into actual image meaning...
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