Online feedback-based rating systems are gaining popularity. Dealing with collaborative unfair ratings in such systems has been recognized as an important but difficult problem. T...
Yafei Yang, Yan Lindsay Sun, Steven Kay, Qing Yang
Data visualization, commonly used to make large sets of numerical data more legible, also has enormous potential as a storytelling tool to elicit insights on long-standing social ...
Abstract— We examine the problem of parallelizing the inferencing process for OWL knowledge-bases. A key challenge in this problem is partitioning the computational workload of t...
Abstract--Conducting valid comparative evaluations of techniques in the field of Music Information Retrieval (MIR) presents particular challenges to MIR researchers due to issues o...
Kris West, Amit Kumar, Andrew Shirk, Guojun Zhu, J...
Large, high dimensional data spaces, are still a challenge for current data clustering methods. Frequent Termset (FTS) clustering is a technique developed to cope with these chall...