NIPS
2001
13 years 6 months ago
2001
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
CARS
2003
13 years 6 months ago
2003
The efficiency of data analysis of 3-d measurement data such as medical images can be enhanced if the expert user is enabled to incorporate his knowledge into the analysis process ...
PRIS
2007
13 years 6 months ago
2007
Interval data is attracting attention from the data analysis community due to its ability to describe complex concepts. Since clustering is an important data analysis tool, extendi...
INTERACT
2007
13 years 6 months ago
2007
Abstract. Exploring any new data set always starts with gathering overview information. When this process is done non-visually, interactive sonification techniques have proved to b...
MIE
2008
13 years 6 months ago
2008
Lifelong electronic health records can supply valuable information for research, quality management and health politics in addition to supporting treatment of patients. Based on ex...
EDM
2010
13 years 6 months ago
2010
Learning software is not designed for data analysis and mining. Because usage data is not stored in a systematic way, its thorough analysis requires long and tedious preprocessing....
VISSYM
2007
13 years 7 months ago
2007
Visual data analysis has received a lot of research interest in recent years, and a wide variety of new visualization techniques and applications have been developed to improve in...
SAIG
2000
Springer
13 years 8 months ago
2000
Springer
Extracting information from data, often also called data analysis, is an important scienti c task. Statistical approaches, which use methods from probability theory and numerical a...
ICCS
2000
Springer
13 years 8 months ago
2000
Springer
In this paper, we discuss Conceptual Knowledge Discovery in Databases (CKDD) in its connection with Data Analysis. Our approach is based on Formal Concept Analysis, a mathematical ...
IDA
2010
Springer
13 years 8 months ago
2010
Springer
This paper delivers an example of applying intelligent data analysis to biological data where the success of the project was only possible due to joint efforts of the experts from ...