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ICDM
2006
IEEE
139views Data Mining» more  ICDM 2006»
16 years 28 days ago
Unsupervised Clustering In Streaming Data
Tools for automatically clustering streaming data are becoming increasingly important as data acquisition technology continues to advance. In this paper we present an extension of...
Dimitris K. Tasoulis, Niall M. Adams, David J. Han...
KDD
1994
ACM
118views Data Mining» more  KDD 1994»
15 years 11 months ago
Discovering Informative Patterns and Data Cleaning
Wepresent a methodfor discovering informative patterns from data. With this method,large databases can be reducedto only a few representative data entries. Ourframeworkencompasses...
Isabelle Guyon, Nada Matic, Vladimir Vapnik
PARMA
2004
106views Database» more  PARMA 2004»
15 years 8 months ago
The Notion of Similarity in Data and Pattern Spaces
In the recent years, our ability of collecting information rapidly increases and huge databases that change over time in a high frequency have been developed. On the other hand, th...
Irene Ntoutsi
151
Voted
ISI
2005
Springer
16 years 11 days ago
Data Distortion for Privacy Protection in a Terrorist Analysis System
Data distortion is a critical component to preserve privacy in security-related data mining applications, such as in data miningbased terrorist analysis systems. We propose a spars...
Shuting Xu, Jun Zhang, Dianwei Han, Jie Wang
ICDM
2003
IEEE
184views Data Mining» more  ICDM 2003»
16 years 4 days ago
Analyzing High-Dimensional Data by Subspace Validity
We are proposing a novel method that makes it possible to analyze high dimensional data with arbitrary shaped projected clusters and high noise levels. At the core of our method l...
Amihood Amir, Reuven Kashi, Nathan S. Netanyahu, D...