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ADBIS
2006
Springer
166views Database» more  ADBIS 2006»
16 years 1 months ago
Clustering-Based Materialized View Selection in Data Warehouses
materialized view selection is a non-trivial task. Hence, its complexity must be reduced. A judicious choice of views must be costdriven and influenced by the workload experienced...
Kamel Aouiche, Pierre-Emmanuel Jouve, Jér&o...
PAKDD
2005
ACM
112views Data Mining» more  PAKDD 2005»
16 years 16 days ago
Approximated Clustering of Distributed High-Dimensional Data
In many modern application ranges high-dimensional feature vectors are used to model complex real-world objects. Often these objects reside on different local sites. In this paper,...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...
ICDM
2002
IEEE
191views Data Mining» more  ICDM 2002»
15 years 12 months ago
Iterative Clustering of High Dimensional Text Data Augmented by Local Search
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
Inderjit S. Dhillon, Yuqiang Guan, J. Kogan
PAKDD
2009
ACM
149views Data Mining» more  PAKDD 2009»
15 years 11 months ago
A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data
Detecting outliers which are grossly different from or inconsistent with the remaining dataset is a major challenge in real-world KDD applications. Existing outlier detection met...
Ke Zhang, Marcus Hutter, Huidong Jin
RSFDGRC
1999
Springer
194views Data Mining» more  RSFDGRC 1999»
15 years 11 months ago
A Closest Fit Approach to Missing Attribute VAlues in Preterm Birth Data
: In real-life data, in general, many attribute values are missing. Therefore, rule induction requires preprocessing, where missing attribute values are replaced by appropriate val...
Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse,...