Searching for "Data Dredging." – sorted by Relevance.
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How Should Meta-Regression Analyses be . . .
- in the regression. Data dredging is the main pitfall in reaching reliable conclusions from meta-regression. It can
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Genome-map: Real-world test data and queries for logic databases
- , and { all marker BLAST entries with a non-empty GenBank name, ifany. 2.3 Data-Dredging Queries Any
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PLAN FOR NATIONAL IMPLEMENTATION OF SILENT INSPECTOR
- of their dredge. These systems comprise the SI DSS. The DSS collects various dredge sensor data, and formats
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An Overview of Database Mining Techniques
- of 1 The literature also refers to Database mining as "Data Dredging," "Knowledge Mining
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TITLE: Modern Approaches to Predictive Modeling and to Covariable Adjustment in Randomized Clinical Trials
- is enormous, the approach to modeling must avoid data dredging (mining), which results in overfitting and a
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TITLE: Developing and Validating Clinical Prediction Models
- to modeling must avoid data dredging (mining), which results in overfitting and a failure of the predictive
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Exploiting Visualization in Knowledge Discovery
- to discover knowledge is advocated by one school of thought (e.g., data dredging), while at the other extreme
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A Comparison Between Deductive And Object-Oriented Database Systems
- multimedia data, and "data dredging" applications, for example. These and their requirements are summarized
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Bayesian Multiple Comparisons Using Dirichlet Process Priors
- of experimental units), (8) multiple tests (statistical procedures), (9) data dredging (idiosyncrasies of data
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Data Mining: Foundation, Techniques and Applications
- (KDD), knowledge extraction, data/pattern analysis, data archeology, data dredging, information
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