Classification results for the SAVSNET-917-4L data set
Emergent: a novel data-set for stance classification
... classifier 73% 71%/89% 82%/70% 74%/54% Table 1: Test set accuracy and per stance precision and recall. is labeled against, otherwise observing. The comparison between the baseline and the L 1 - regularized ...
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Emergent: a novel data set for stance classification
... classifier 73% 71%/89% 82%/70% 74%/54% Table 1: Test set accuracy and per stance precision and recall. is labeled against, otherwise observing. The comparison between the baseline and the L 1 - regularized ...
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Enhancement and Classification of Less Data Oriented Data set Attributes
... of data sets. VI. Conclusion The field of data mining, and has remained an extensive research topic within several research ...The data collection technologies and large scale business enterprises, ...
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Classification of Disease Data Using Bijective Soft Set
... of data is also a big problem. When data are not systematic it is very problem to search and analyze the data from a group of ...in classification of ...the data. There are many ...
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COMPARISON OF CLASSIFICATION TECHNIQUES ON HEART DISEASE DATA SET
... of Classification Algorithms V. R ESULT AND D ISCUSSION The data set consist of 270 patient’s ...prediction results comparison of the three popular data mining algorithms in the help of ...
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On classification in the case of a medical data set with a complicated distribution
... complicated data distribution, since the results were not better than those original of the uppermost ...impair results because there is no guarantee that such extension would always ‘‘improve the ...
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A Comparative Study of Classification Techniques for Fire Data Set
... Keywords: Classification, Rapid Miner tool, Decision tree, Naïve Bayes , K-NN, Fire data set, Cross ...FIRE data set which represents a massive amount of information that is easily ...
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COMPARATIVE ANALYSIS OF CLASSIFICATION TECHNIQUES FOR ACCURACY ON A MULTIVARIATE DATA SET
... of data and information that are available for everyone either offline or ...offline, data can be stored in many different kinds of databases and information ...of data, there is a need for powerful ...
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CLASSIFICATION OF EEG DATA SET FOR UPPER LIMB MOTOR CONTROL
... EEG data is collected from 10 different subjects during three basic operations of left/right hand which are i)without any movement with open eye, ii) imagination of opening and closing of left/right hand fist, ...
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Using rough set through for classification of image segmentation data
... working/sample data at hand is complete or not based on the data ...the data is not sufficient enough, it should suggest that more information about the objects is ...the data is complete, it ...
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A Hybrid Data Mining Technique for Improving the Classification Accuracy of Microarray Data Set
... the classification of gene expression profiles into categories, such as cases and ...training set containing labeled samples from the two populations, and then using that classifier to predict the labels of ...
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Classification Experiments for Number Plate Recognition Data Set Using Weka
... input data like attribute values, attribute types, attribute names and data ...and classification methods of Weka for comparison purpose ...of Data Mining that’s why also Weka is ...
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Survey on Method of Drift Detection and Classification for time varying data set
... from data streams and drift detection, but most of methods failed to achieve speed and accuracy due to data ...for data stream mining to improve ...
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Parameter set selection and classification of sleep phases tracing biovital data
... promising results in several publications we want to analyse existing methods for sleep stage classification based on the parameters body move- ment, heartbeat and ...
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Text Classification Kernels for Quality Prediction over the C3 Data Set
... {daroczyb, sdavid, rpalovics, benczur}@ilab.sztaki.hu ABSTRACT We compare machine learning methods to predict quality aspects of the C3 dataset collected as a part of the Recon- cile project. We give methods for ...
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Acoustic Scene Classification in DCASE 2019 Challenge: Closed and Open Set Classification and Data Mismatch Setups
... method results in a high accuracy on the unknown class at the expense of low accuracy in the closed set ...external data, with only the four mentioned systems of one team using pretrained models ...
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CLASSIFICATION OF DATA BY USING ROUGHF SET THEORY AND FUZZY RULE BASE SYSTEM FOR DATA MINING.
... adequate set of ...dimensional data, which needs to be ...from data in 20–30 dimensions. If the dimensionality of the data is very high, for example, a few thousands, most clustering ...
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Photometric variability in the cstar field: results from the 2008 data set
... The Chinese Small Telescope Array (CSTAR) is the first telescope facility built at Dome A, Antarctica. During the 2008 observing season, the installation provided long-baseline and high-cadence photometric observations in ...
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Generalisation in environmental sound classification : the ‘making sense of sounds’ data set and challenge
... human classification share any underlying principles or even use sim- ilar acoustic ...top-down classification proce- ...relevant data in their training, forcing ...
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A COMPARISON OF VARIOUS MACHINE LEARNING ALGORITHMS FOR WHEAT SEED DATA SET CLASSIFICATION
... Abstract:Machine Learning is the fast emerging technology which is poised to dominate in almost all walks of life. Machine Learning not only analyses data, but also predicts future responses/actions aimed towards ...
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