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» Measuring Similarity between Sets of Overlapping Clusters
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EDBT
2012
ACM
291views Database» more  EDBT 2012»
13 years 11 days ago
Relevance search in heterogeneous networks
Conventional research on similarity search focuses on measuring the similarity between objects with the same type. However, in many real-world applications, we need to measure the...
Chuan Shi, Xiangnan Kong, Philip S. Yu, Sihong Xie...
CSMR
2010
IEEE
14 years 5 months ago
Does the Past Say It All? Using History to Predict Change Sets in a CMDB
To avoid unnecessary maintenance costs in large IT systems resulting from poorly planned changes, it is essential to manage and control changes to the system and to verify that all...
Sarah Nadi, Richard C. Holt, Serge Mankovski
IAJIT
2011
14 years 1 months ago
A hierarchical K-NN classifier for textual data
: This paper presents a classifier that is based on a modified version of the well known K-Nearest Neighbors classifier (K-NN). The original K-NN classifier was adjusted to work wi...
Rehab M. Duwairi, Rania Al-Zubaidi
KDD
2001
ACM
169views Data Mining» more  KDD 2001»
15 years 10 months ago
Hierarchical cluster analysis of SAGE data for cancer profiling
In this paper we present a method for clustering SAGE (Serial Analysis of Gene Expression) data to detect similarities and dissimilarities between different types of cancer on the...
Jörg Sander, Monica C. Sleumer, Raymond T. Ng
GRAPHICSINTERFACE
2007
14 years 11 months ago
Visualization and exploration of time-varying medical image data sets
In this work, we propose and compare several methods for the visualization and exploration of time-varying volumetric medical images based on the temporal characteristics of the d...
Zhe Fang, Torsten Möller, Ghassan Hamarneh, A...