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» Using Anonymized Data for Classification
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KDD
2007
ACM
152views Data Mining» more  KDD 2007»
16 years 4 months ago
Privacy-Preserving Sharing of Horizontally-Distributed Private Data for Constructing Accurate Classifiers
Data mining tasks such as supervised classification can often benefit from a large training dataset. However, in many application domains, privacy concerns can hinder the construc...
Vincent Yan Fu Tan, See-Kiong Ng
ICDM
2010
IEEE
199views Data Mining» more  ICDM 2010»
15 years 1 months ago
Addressing Concept-Evolution in Concept-Drifting Data Streams
Abstract--The problem of data stream classification is challenging because of many practical aspects associated with efficient processing and temporal behavior of the stream. Two s...
Mohammad M. Masud, Qing Chen, Latifur Khan, Charu ...
ICML
2003
IEEE
16 years 4 months ago
Learning on the Test Data: Leveraging Unseen Features
This paper addresses the problem of classification in situations where the data distribution is not homogeneous: Data instances might come from different locations or times, and t...
Benjamin Taskar, Ming Fai Wong, Daphne Koller
AGIS
2008
319views more  AGIS 2008»
15 years 3 months ago
An Efficient Algorithm for Raster-to-Vector Data Conversion
Data conversion from raster to vector (R2V) is a key function in Geographic Information Systems (GIS) and remote sensing (RS) image processing for integrating GIS and RS data. The...
Junhua Teng, Fahui Wang, Yu Liu
PRL
2010
158views more  PRL 2010»
15 years 2 months ago
Data clustering: 50 years beyond K-means
: Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific classification puts organ...
Anil K. Jain