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» Biomedical Case Studies in Data Intensive Computing
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DCAI
2008
13 years 9 months ago
A Survey of Distributed and Data Intensive CBR Systems
Case-Based Reasoning is a methodology that uses information that has been considered as valid in previous situations to solve new problems. That use of the information allows CBR s...
Aitor Mata
CBMS
2005
IEEE
14 years 1 months ago
A Spreadsheet Framework for Visual Exploration of Biomedical Datasets
In this paper, we present our spreadsheet framework, which uses a spreadsheet-like interface for exploring biomedical datasets. The principles and advantages of this class of visu...
Sofiane Sarni, Anderson Maciel, Ronan Boulic, Dani...
GRID
2006
Springer
13 years 7 months ago
Multi-Replication with Intelligent Staging in Data-Intensive Grid Applications
Existing data grid scheduling systems handle huge data I/O via replica location services coupled with simple staging, decoupled from scheduling of computing tasks. However, when th...
Yuya Machida, Shin'ichiro Takizawa, Hidemoto Nakad...
PAKDD
2011
ACM
419views Data Mining» more  PAKDD 2011»
12 years 10 months ago
DISC: Data-Intensive Similarity Measure for Categorical Data
Abstract. The concept of similarity is fundamentally important in almost every scientific field. Clustering, distance-based outlier detection, classification, regression and sea...
Aditya Desai, Himanshu Singh, Vikram Pudi
DAWAK
2000
Springer
13 years 12 months ago
Enhancing Preprocessing in Data-Intensive Domains using Online-Analytical Processing
Abstract The application of data mining algorithms needs a goal-oriented preprocessing of the data. In practical applications the preprocessing task is very time consuming and has ...
Alexander Maedche, Andreas Hotho, Markus Wiese