Evaluation of other data sets
Projection error evaluation for large multidimensional data sets
... artificial data sets has shown that in order to decrease computation time, the projection error can be evaluated precisely using only representative data sample, but not full data ...the ...
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Evaluation Measures for Models Assessment over Imbalanced Data Sets
... imbalanced data sets; other than improve approaches or models to handle imbalanced data sets [8], Weiss [66] consider that found the proper evaluation measures for model ...
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History and evaluation of national-scale geochemical data sets for the United States
... geochemical data sets for soils or stream sediments exist for the United ...‘Shacklette’ data set, was generated by a ...Resource Evaluation Hydrogeochemical and Stream Sediment Reconnaissance ...
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The WACMOS ET project – Part 2: Evaluation of global terrestrial evaporation data sets
... evaporation data sets – LandFlux-EVAL in particular (Jiménez et ...forcing data has hampered the attribution of the observed skill of each evaporation data set to differences in the ...input ...
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An evaluation of the consistency of extremes in gridded precipitation data sets
... observational data sets, this paper compares the representation of extremes in a number of widely used daily gridded products, derived from rain gauge data, satellite retrieval and reanalysis for the ...
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Evaluation of precipitation data sets along the Himalayan front
... meteorological data thus limit our understanding of climatic influence on landscape ...precipitation data sets derived from remote sensing and inter- polation of rain gauge data with ...
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Analysis and Performance Evaluation of Large Data Sets Using Hadoop
... large data reliably, and to stream those data at very high bandwidth to user ...of data is loaded in HDFS for data processing, evaluating, indexing, and resource ...loaded data in ...
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The value of publicly available data sets for social science research and evaluation
... Figure 1 shows that being the victim of a property crime was the number 1 predictor of violent crime victimization in these African countries. This holds true for all of the papers that looked for the predictors of ...
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A Comparative Evaluation of Meta-Learning Strategies over Large and Distributed Data Sets
... “best” data partitioning scheme for a selected data set to compose “appropriately- sized” subsets and we evaluate and compare three different strategies, Voting, Stacking and Stacking with Correspondence ...
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Evaluation of two precipitation data sets for the Rhine River using streamflow simulations
... precipitation data set, in comparison with the original CHR on the extreme values of discharge and precipitation in the Rhine ...temperature data set derived from the Euro- pean Climate Assessment & ...
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Adaptive Utility-based Anonymization Model: Performance Evaluation on Big Data Sets
... of data, referred as big data is so crucial for carrying out various knowledge-based ...of data or data mining accuracy is always a challenge in ...Preserving Data Mining by ...
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A SMART SAMPLING SCHEDULING AND SKIPPING SIMULATOR AND ITS EVALUATION ON REAL DATA SETS
... ABSTRACT As modern manufacturing technology progresses, measurement tools become scarce resources since more and longer control operations are required. It thus becomes critical to decide whether a lot should be measured ...
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Global synthesis and critical evaluation of pharmaceutical data sets collected from river systems
... The data summaries presented here and elsewhere indicate potential overlap between chronic e ff ects levels and the concentrations detected within fresh- ...
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Performance Evaluation of Eigen faces and Fisher faces with different pre processed Data sets
... TIFF offers the option of using LZW compression, a lossless data-compression technique for reducing a file's size. III. T HE P ROPOSED E NHANCEMENT A PPROACH In this section, we will describe the proposed ...
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Data-driven optimization of seismicity models using diverse data sets: generation, evaluation and ranking using inlabru
... or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these ...
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Evaluation of association tests for rare variants using simulated data sets in the Genetic Analysis Workshop 17 data
... It is natural to ask why the average powers of these four methods are low for the analysis of the GAW17 data sets. There are three possible reasons. First, the phenotypes Q1 and Q2 do not completely depend ...
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evaluation). notonlythemanagementoflargedata-sets,butalsonewprocessingstrategiesforspatial
... largest data sets encountered in any application to ...spatial data[28, 19]. Other interest- ing developments include hierarchical algorithms for shortest path computation [14] and view ...
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Multi fuzzy sets and their correspondence to other sets
... multi-fuzzy sets with product order and dictionary order on their membership ...multi-fuzzy sets and other sets such as intuitionistic fuzzy sets, type-2 fuzzy sets, multisets ...
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Similarity Search: Algorithms for Sets and other High Dimensional Data
... Multi-probing. When we stick to the LSH framework, the best running time we could hope for is Θ (n ρ + t), giving the optimal output sensitive running time achiev- able by (data independent) LSH. In order to get ...
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Linearizing sets: each other
... Members of a cover can overlap. Partitions are covers in which there is no such over- lapping. The Part operator shares some similarities with the classical distributivity operator D (Bennet (1974) and Link (1983)). The ...
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