Datasets used in the study
Multi-Dimensional Datasets used for Keyword Search
... multi-dimensional datasets facilitates many novel applications and ...these datasets, we study queries that ask forthe tightest groups of points satisfying a given set of ...synthetic datasets ...
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Datasets Used in Fifteen Years of Automated Requirements Traceability Research
... the study selection and bias in the extraction of data. Study selection can be dependent on the individuals reviewing the papers and therefore, the researchers knowledge in the domain could affect the ...
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Experience: Quality benchmarking of datasets used in software effort estimation
... This study used Release 2016 R1, which was released in March ...measures used for most of the projects are based on IFPUG function points, but other size measures include NESMA FPs, COSMIC-FP, Mark ...
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Metabarcoding of marine nematodes – evaluation of reference datasets used in tree-based taxonomy assignment approach
... were used to evaluate the quality of the results of each individual analysis (cladogram) produced in this study: ...be used to describe clades that are equivalent to family-level categories in ...
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A Study on Clustering Algorithms for Large Datasets
... is used in many areas, including artificial intelligence, biology, customer relationship management, data compression, data mining, information retrieval, image processing, machine learning, marketing, medicine, ...
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Very Simple Classification Rules Perform Well on Most Commonly Used Datasets
... available datasets, then it will be impossible to experimentally detect improvements to the selection ...large-scale study of various pruning methods, such as (Mingers,1989), it would have been useful to ...
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Discovery and Reuse of Open Datasets: An Exploratory Study
... published datasets are being discovered and ...published datasets must be discoverable and ...of datasets is a complex ...cited/downloaded datasets and their ...be used to provide ...
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Large datasets: a mixed method to adapt and improve their learning by neural networks used in regression contexts
... 3 LORIA, UMR CNRS 7503, University Henri Poincar´ e Nancy-1, France Abstract. The purpose of this work is to further study the relevance of accelerating the Monte-Carlo calculations for the gamma rays external ...
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A Comprehensive Study of Clustering Algorithms to Analyze Medical Datasets
... are used in the diagnosis of heart disease such as naive bayes, decision tree, and neural network, kernel density, bagging algorithm, kmean clustering, support vector machine and agglomerative hierarchical ...
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Empirical Study to Evaluate the Performance of Classification Algorithms on Healthcare Datasets
... 2 Information Technology, Institute of Engineering & Management, India Copyright©2017 by authors, all rights reserved. Authors agree that this article remains permanently open access under the terms of the Creative ...
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Study on Ensemble Algorithm for Multi-class Gene Microarray Datasets
... be used to solve binary classification problems and produces accurate classification rules through evolutionary ...microarray datasets in theory and studied it in ...
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A study of mRNA translation with computational analysis of ribosome profiling datasets
... 114 adjacent to them. Predictions made based only on the A-site RUST values correlate with the real profiles (Pearson’s r=0.451, Spearman’s r=0.503 for Andreev et al dataset 27 ). The incorporation of RUST ratios for all ...
184
Assessing spatiotemporal predictability of LBSN : a case study of three Foursquare datasets
... Copies of full items can be used for personal research or study, educational, or not-for-profit purposes without prior permission or charge. Provided that the authors, title and full bibliographic details ...
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Validation Methodology for Expert-Annotated Datasets: Event Annotation Case Study
... expert-annotated datasets and we propose an ambiguity-aware crowdsourcing approach to validate, correct and improve ...annotated datasets of events and time expressions, namely TempEval-3 Gold (Gold) and ...
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Comparative study of medical datasets IETD and UCITD using statistical methods
... thyroid datasets UCI and IETD for better classification. ANOVA is used to test the significant difference in a single dependent variable among two or more groups formed by a single independent or ...
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Scalable Queries For Large Datasets Using Cloud Computing: A Case Study
... been used in production at major industry leaders such as Google, Amazon, and ...being used not just for voice calls but for all sorts of data ...often used the same as a ...
9
Abstract Increasingly, the size, variety, and update rate of spatial datasets exceed the capacity of commonly used spatial computing and spatial
... accumulated datasets. Engine measurement datasets may be used to study the impacts of the environment ...These datasets may include a time-series of attributes such as vehicle location, ...
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On the Classification of Imbalanced Datasets
... the study is to evaluate the performance of the different ...we used SMOTE, Locally linear embedding, and four versions of SMOTE + Complementary Neural Network ...
7
A study of geovisual analytics for exploring event anomalies over multiple geospatial datasets
... agents, diseases, risk factors, and other health events in different geographical loca- tions. This system uses two sets of geographical point data: human emergency room data and veterinary hospital data. Various ...
155
Publishing Social Sciences Datasets as Linked Data: a Political Violence Case Study
... Hub / CKAN by the Open Knowledge foundation and the Sindice semantic web index by DERI [discovery]. At the vocabulary level it is possible to reuse common vocabularies such as Dublin Core that are often used in ...
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