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SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
14 years 9 months ago
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
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...
Michael Hahsler, Margaret H. Dunham
CIKM
2009
Springer
15 years 4 months ago
Diverging patterns: discovering significant frequency change dissimilarities in large databases
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...
Aijun An, Qian Wan, Jiashu Zhao, Xiangji Huang
CCS
2010
ACM
15 years 4 months ago
Ad hoc broadcast encryption
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...
KDD
2002
ACM
170views Data Mining» more  KDD 2002»
16 years 7 months ago
On interactive visualization of high-dimensional data using the hyperbolic plane
: 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...
Helge Ritter, Jörg A. Walter
SDM
2007
SIAM
187views Data Mining» more  SDM 2007»
15 years 8 months ago
Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning
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...
Arindam Banerjee, Sugato Basu