ISVC
2005
Springer
13 years 10 months ago
2005
Springer
This note describes a web-based tool for storm analysis using multiple data sets developed for use in research of thunderstorms and forecasting applications. The tool was developed...
IDA
2005
Springer
13 years 10 months ago
2005
Springer
Clustering or bi-clustering techniques have been proved quite useful in many application domains. A weakness of these techniques remains the poor support for grouping characterizat...
EUROPAR
2005
Springer
13 years 10 months ago
2005
Springer
In this paper, we consider the problem of modeling machine availability in enterprise-area and wide-area distributed computing settings. Using availability data gathered from three...
DILS
2005
Springer
13 years 10 months ago
2005
Springer
This paper presents an extensible architecture that can be used to support the integration of heterogeneous biological data sets. In our architecture, a clustering approach has bee...
CIKM
2005
Springer
13 years 10 months ago
2005
Springer
Accurately and efficiently estimating the number of distinct values for some attribute(s) or sets of attributes in a data set is of critical importance to many database operation...
APPT
2005
Springer
13 years 10 months ago
2005
Springer
Identifying the patterns of large data sets is a key requirement in data mining. A powerful technique for this purpose is the principal component analysis (PCA). PCA-based clusteri...
AIME
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. The paper deals with the integrated use of Information Visualization techniques and clustering algorithms to analyze Magnetic Resonance Imaging (MRI) data sets. The paper...
AIIA
2005
Springer
13 years 10 months ago
2005
Springer
Given Boolean data sets which record properties of objects, Formal Concept Analysis is a well-known approach for knowledge discovery. Recent application domains, e.g., for very lar...
AI
2005
Springer
13 years 10 months ago
2005
Springer
In this research, a systematic study is conducted of four dimension reduction techniques for the text clustering problem, using five benchmark data sets. Of the four methods -- Ind...
SIGIR
2005
ACM
13 years 10 months ago
2005
ACM
Latent semantic indexing (LSI) is a well-known unsupervised approach for dimensionality reduction in information retrieval. However if the output information (i.e. category labels...