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» Phenomenal Data Mining: From Data to Phenomena
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PAKDD
2000
ACM
140views Data Mining» more  PAKDD 2000»
15 years 10 months ago
Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases
The objective of data reduction is to obtain a compact representation of a large data set to facilitate repeated use of non-redundant information with complex and slow learning alg...
Slobodan Vucetic, Zoran Obradovic
KDD
2008
ACM
202views Data Mining» more  KDD 2008»
16 years 7 months ago
Data and Structural k-Anonymity in Social Networks
The advent of social network sites in the last years seems to be a trend that will likely continue. What naive technology users may not realize is that the information they provide...
Alina Campan, Traian Marius Truta
ICDM
2007
IEEE
95views Data Mining» more  ICDM 2007»
16 years 27 days ago
Incremental Quantization for Aging Data Streams
A growing number of applications have become reliant or can benefit from monitoring data streams. Data streams are potentially unbounded in size, hence, Data Stream Management Sy...
Fatih Altiparmak, David Chiu, Hakan Ferhatosmanogl...
SDM
2003
SIAM
183views Data Mining» more  SDM 2003»
15 years 8 months ago
ApproxMAP: Approximate Mining of Consensus Sequential Patterns
Conventional sequential pattern mining methods may meet inherent difficulties in mining databases with long sequences and noise. They may generate a huge number of short and trivi...
Hye-Chung Kum, Jian Pei, Wei Wang 0010, Dean Dunca...
KDD
2010
ACM
222views Data Mining» more  KDD 2010»
15 years 8 months ago
Large linear classification when data cannot fit in memory
Recent advances in linear classification have shown that for applications such as document classification, the training can be extremely efficient. However, most of the existing t...
Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-J...