Knowledge Discovery in Databases (KDD) focuses on the computerized exploration of large amounts of data and on the discovery of interesting patterns within them. While most work on...
The research community plays a very important role in holding valuable scientific knowledge. The authors propose a community mining system which helps to find communities of res...
Huge time-series stream data are collected every day from many areas, and their trends may be impacted by outside events, hence biased from its normal behavior. This phenomenon is ...
Yue Wang, Jie Zuo, Ning Yang, Lei Duan, Hong-Jun L...
Abstract. In this paper, we present and detail a multifunctional itemset mining algorithm called Zart, which is based on the Pascal algorithm. Zart shows a number of additional fea...
Laszlo Szathmary, Amedeo Napoli, Sergei O. Kuznets...
Sampling has been recognized as an important technique to improve the efficiency of clustering. However, with sampling applied, those points which are not sampled will not have t...