Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...
t techniques to create such a network associated with an abstract cell environment is discussed in order to gain insights into the functional as well as spatial interrelationships....
1 The aim of data mining is to find novel and actionable insights. However, most algorithms typically just find a single explanation of the data even though alternatives could e...
This report summarizes the events of the 2nd International Workshop on Privacy, Security, and Trust in KDD, at the 14th ACM SIGKDD International Conference on Knowledge Discovery ...
Francesco Bonchi, Elena Ferrari, Wei Jiang, Bradle...
Discovering interesting patterns from high-speed data streams is a challenging problem in data mining. Recently, the support metric-based frequent pattern mining from data stream h...