Results 251 to 260 of about 247,414 (295)
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Interactive data mining from clinical inspection data
IEEE International Conference on Systems, Man and Cybernetics, 2003In this paper, we use Interactive Evolutionary Computation in order to select relevant features in inductive learning for Data Mining tasks. The method we have proposed is used to discover efficient decision knowledge from noisy inspection data in a medical domain.
M. Inada, T. Terano
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Interactive data mining informs designed experiments
Quality and Reliability Engineering International, 2008AbstractWe illustrate how a Six Sigma project team can apply recursive partitioning to a historical data set to narrow down a list of potential experimental factors and then construct an experimental design using information from the partition analysis.
Marie Gaudard +2 more
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User-Centered Interactive Data Mining
2010While many data mining models concentrate on automation and efficiency, interactive data mining models focus on adaptive and effective communications between human users and computer systems. User requirements and preferences play an important role in human-machine interactions, and guide the selection of knowledge representations, knowledge discovery ...
Yan Zhao, Yiyu Yao
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Data mining for potential adverse drug–drug interactions
Expert Opinion on Drug Metabolism & Toxicology, 2014Patients, in particular elderly ones, frequently receive more than one drug at a time. With each drug added to a regime, the number of potential drug-drug interactions (DDIs) increases by a power law. Early prediction of relevant interactions by computerized tools greatly aids clinicians and can guide their prescribing choices.In this article, we ...
Felix, Hammann, Juergen, Drewe
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2009
Exploring and extracting knowledge from data is one of the fundamental problems in science. Data mining consists of important tasks, such as description, prediction and explanation of data, and applies computer technologies to nontrivial calculations. Computer systems can maintain precise operations under a heavy information load, and also can maintain
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Exploring and extracting knowledge from data is one of the fundamental problems in science. Data mining consists of important tasks, such as description, prediction and explanation of data, and applies computer technologies to nontrivial calculations. Computer systems can maintain precise operations under a heavy information load, and also can maintain
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Shared State for Distributed Interactive Data Mining Applications
Distributed and Parallel Databases, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Parthasarathy, Srinivasan +1 more
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Interactive Mining of Functional MRI Data
2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System, 2007Discovery of the image voxels of the brain that represent real activity is, in general, very difficult because of a weak signal-to-noise ratio and the presence of artifacts. The first tests of the classical data mining algorithms in this field showed low performances and weak quality of recognition.
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Data Mining Methods for Protein-Protein Interactions
2006 Canadian Conference on Electrical and Computer Engineering, 2006In this paper, recent bioinformatics methods using data mining techniques are presented to analyze protein-protein interaction data gathered from recent large-scale biological studies. Novel approaches are suggested to tackle some of the challenges in this area.
Zahra Nafar, Ashkan Golshani
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Temporal mining for interactive workflow data analysis
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, 2009In the past few years there has been an increasing interest in the analysis of process logs. Several proposed techniques, such as workflow mining, are aimed at automatically deriving the underlying workflow models. However, current approaches only pay little attention on an important piece of information contained in process logs: the timestamps, which
Berlingerio M +3 more
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Visual transformation for interactive spatiotemporal data mining
Knowledge and Information Systems, 2007Analytical models intend to reveal inner structure, dynamics, or relationship of things. However, they are not necessarily intuitive to humans. Conventional scientific visualization methods are intuitive, but limited by depth, dimension, and resolution.
Yang Cai +8 more
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