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172
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ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
16 years 1 months ago
Error-Aware Density-Based Clustering of Imprecise Measurement Values
Manufacturing process development is under constant pressure to achieve a good yield for stable processes. The development of new technologies, especially in the field of photoma...
Dirk Habich, Peter Benjamin Volk, Wolfgang Lehner,...
195
Voted
GI
2009
Springer
15 years 4 months ago
Fusion of IR/CCD Video Streams and Digital Terrain Models for Multi Target Tracking
: Video Streams of optical camera system are analysed by a video processing software which detects moving objects in the video. They are presented in image pixel coordinates. With ...
Kaeye Dästner, Bastian Köhler, Felix Opi...
KDD
2004
ACM
624views Data Mining» more  KDD 2004»
16 years 7 days ago
Programming the K-means clustering algorithm in SQL
Using SQL has not been considered an efficient and feasible way to implement data mining algorithms. Although this is true for many data mining, machine learning and statistical a...
Carlos Ordonez
170
Voted
ITSL
2008
15 years 8 months ago
An Empirical Comparison of NML Clustering Algorithms
Clustering can be defined as a data assignment problem where the goal is to partition the data into nonhierarchical groups of items. In our previous work, we suggested an informati...
Petri Kontkanen, Petri Myllymäki
ESA
2005
Springer
107views Algorithms» more  ESA 2005»
16 years 12 days ago
Workload-Optimal Histograms on Streams
Histograms are used in many ways in conventional databases and in data stream processing for summarizing massive data distributions. Previous work on constructing histograms on da...
S. Muthukrishnan, Martin Strauss, X. Zheng