This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
In this paper, we present a framework for mining diverging patterns, a new type of contrast patterns whose frequency changes significantly differently in two data sets, e.g., it c...
Numerous applications in ad hoc networks, peer-to-peer networks, and on-the-fly data sharing call for confidential broadcast without relying on a dealer. To cater for such applica...
Qianhong Wu, Bo Qin, Lei Zhang, Josep Domingo-Ferr...
: se the concept of visualizing general abstract data by intermediate projection into the hyperbolic space. Its favorable properties were reported earlier and led to the "hype...
Topic modeling techniques have widespread use in text data mining applications. Some applications use batch models, which perform clustering on the document collection in aggregat...