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KDD
1994
ACM
118views Data Mining» more  KDD 1994»
15 years 8 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 6 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
ISI
2005
Springer
15 years 10 months 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
141
Voted
ICDM
2003
IEEE
184views Data Mining» more  ICDM 2003»
15 years 10 months 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...
118
Voted
SDM
2004
SIAM
123views Data Mining» more  SDM 2004»
15 years 6 months ago
Nonlinear Manifold Learning for Data Stream
There has been a renewed interest in understanding the structure of high dimensional data set based on manifold learning. Examples include ISOMAP [25], LLE [20] and Laplacian Eige...
Martin H. C. Law, Nan Zhang 0002, Anil K. Jain