Historical data sets for the Meuse
Prevalence of antibiotic resistant bacteria in the rivers Meuse, Rhine, and New Meuse
... prevalence data on multiresistance are also available (MARAN 2009). In 2009, the prevalence of E. coli resistant to at least one antibiotic was 26% for dairy cattle, 68% for veal calves, 81% for slaughter pigs and ...
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A historical account of types of fuzzy sets and their relationships
... Francisco Herrera received his M.Sc. in Mathe- matics in 1988 and Ph.D. in Mathematics in 1991, both from the University of Granada, Spain. He is currently a Professor in the Department of Computer Science and Artificial ...
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Rainfall generator for the Meuse basin
... their historical year and calendar ...same historical day on two consecutive days occurs in all four ...same historical day are the result of the standardisation of historical amounts and the ...
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Appendix A: Data Framework Data Sets
... years. Data linked at any time during the 15-year retention period (generally 3 years active, 12 years archived), to active law enforcement lookout records, will be matched by CBP to enforcement activities, and/or ...
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MEUSE: RECOMMENDING INTERNET RADIO STATIONS
... called MeUse. We use the Shout- cast API to collect historical data about the artists that are played on a large set of Internet radio ...This data is used to populate an artist-station index ...
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A Comparison of the Quality of Rule Induction from Inconsistent Data Sets and Incomplete Data Sets
... rule sets and measure the classification error ...tent data sets and eight incomplete data sets. The data sets were obtained by making modifications on a data set ...
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Phenomena and Patterns in Data Sets
... a data set are those that we might regard as corresponding to ...that data sets exhibit with zero noise or to all patterns that data sets exhibit are overwhelming: as we have seen, the ...
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Computing with large data sets
... What system memory do we need to cluster 500,000 genetic changes mesured for 20,000 individuals? Assuming there are many fewer classes / clusters / model-components than observations we can use a block aproach , where a ...
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Tableau Sample Data Sets
... processing data analytics platform and create this process impact to sample data window when you foresee ...extract data sets can tableau sample data types of true or false, there are ...
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Utilities for Partitioned Data Sets
... Created PDSs should be compact to save on storage costs and conserve disk space, yet flexible enough to permit growth in the data set. For example, if you don't allocate enough directory blocks when you create a ...
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The idea of merging data sets to
... are 18F-FDG negative, the availability of diagnostic CT data from combined PET-CT imaging can improve lesion detection and characterization. Lesion detec- tion is enhanced with increased attenuation differences ...
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Closed Sets for Labeled Data
... Subgroup discovery is a learning task directed at finding subgroup descriptions that are char- acteristic for examples with a certain property (class) of interest. Special rule learning algorithms for subgroup discovery ...
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MULTIDIMENSIONAL DATA MODELLING: DATA SETS AND TOOLS
... 3.3 Data Mining with SSAS This section discusses some initial work on using SSAS to support the teaching of data mining concepts and describes the way in which it is planned to use SSAS in the next academic ...
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Data Mining in Clinical Data Sets: A Review
... Clinical data mining, an active interdisciplinary area of research that is considered the consequent of applying artificial intelligence and data mining concepts to the field of medicine and health ...
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Data Sets and Data Quality in Software Engineering
... Some data sets, most notably the ISBSG project effort and productivity benchmark data set, contain meta data that describe the perceived quality of each case or ...project data to a ...
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DATA CLEANING TECHNIQUES FOR SOFTWARE ENGINEERING DATA SETS
... project data data sets and 48 simulated project data data ...project data exists, but in this thesis a more practical approach was taken, where the the noise detection ...
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Prepare and Optimize Data Sets for Data Mining Analysis
... a data set for examination is usually the tedious errand in a data mining task, needing numerous complex SQL queries, joining tables and conglomerating ...ready data sets since they give back ...
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Data Driven Computing with Noisy Material Data Sets
... the data driven solution relative to the reference solution as a function of λ and data set ...increasing data set ...the data driven solution relative to the reference solution as a function ...
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Test Data Sets for Evaluating Data Visualization Techniques
... situations, sets of test patterns (images of real cases) are assembled, and standardized tests are conducted to measure exactly how well the sys- tem performs (see [SP ...her data. We need a standard set of ...
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Efficient Algorithms and Data Structures for Massive Data Sets
... The W-Stream model handles two streams at a time, one for input and the other for output. The rate of access need not be the same on the two streams. It is as if there are two read-write heads, one for each stream, that ...
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