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It is a significant problem to efficiently identify
the frequently-occurring patterns in a given da..
In traditional networking schemes, if a network entity wants to access some information content, it ..
With the popularity of social media (e.g., Facebook and Flicker), users can easily share their check..
K nearest neighbor (in) method is a popular classification method in data mining and statistics beca..
With the exponential increase of the mobile devices
and the fast development of cloud computing, a ..
Many data owners are required to release the data in a variety of real world application, since it i..
In many applications, top-k dominating query is an important operation to return k tuples with the h..
High-utility itemset mining (HUIM) has become a popular data mining task, as it can reveal patterns ..
Conventional automatic document classification methods are currently faced with challenges in terms ..
solution is an audio-haptic tool that combines web technologies with aud..
Early detection of patients with elevated risk of developing diabetes mellitus is critical to the im..
Range-aggregate queries are popular in many applications in data warehouse environments with large b..
We study the problem of finding related forum posts to a post at hand. In contrast to traditional ap..
Thus our paper proposed a new class of fingerprint matching algorithm to find out the difference bet..
Privacy preservation is one of the greatest concerns in big data. As one of extensive applications i..