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» A Data Mining Address Book
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CORR
2008
Springer
113views Education» more  CORR 2008»
13 years 11 months ago
Document stream clustering: experimenting an incremental algorithm and AR-based tools for highlighting dynamic trends
We address here two major challenges presented by dynamic data mining: 1) the stability challenge: we have implemented a rigorous incremental density-based clustering algorithm, i...
Alain Lelu, Martine Cadot, Pascal Cuxac
SDM
2010
SIAM
115views Data Mining» more  SDM 2010»
14 years 11 days ago
Reconstructing Randomized Social Networks
In social networks, nodes correspond to entities and edges to links between them. In most of the cases, nodes are also associated with a set of features. Noise, missing values or ...
Niko Vuokko, Evimaria Terzi
SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
14 years 11 days ago
Semi-Supervised Learning Based on Semiparametric Regularization
Semi-supervised learning plays an important role in the recent literature on machine learning and data mining and the developed semisupervised learning techniques have led to many...
Zhen Guo, Zhongfei (Mark) Zhang, Eric P. Xing, Chr...
LCPC
2005
Springer
14 years 4 months ago
Code Transformations for One-Pass Analysis
With the growing popularity of streaming data model, processing queries over streaming data has become an important topic. Streaming data has received attention in a number of comm...
Xiaogang Li, Gagan Agrawal
DOLAP
2004
ACM
14 years 4 months ago
Cardinality-based inference control in OLAP systems: an information theoretic approach
We address the inference control problem in data cubes with some data known to users through external knowledge. The goal of inference controls is to prevent exact values of sensi...
Nan Zhang 0004, Wei Zhao, Jianer Chen