UCI machine learning repository
Speaker Independent Vowel Recognition using Backpropagation Neural Network on Master Slave Architecture
... from UCI Machine learning repository is used to test our recognition system based on Backpropagation Neural Network that was implemented parallel on Master-Slave ...
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A new semantic attribute deep learning with a linguistic attribute hierarchy for spam detection
... In this paper, we proposed another form of deep learn- ing, a linguistic attribute hierarchy, embedded with linguistic decision trees, for spam detection. A case study was carried out on the SMS message database from the ...
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Improved C4.5 Decision Tree Classifier Algorithm for Analysis of Data Mining Application
... In this Paper C4.5 algorithm was improved and we use approximate calculation of Gain-Ratio(S,A) the experiment proved that it has minimal impact on the classification accuracy ,but the efficiency increased a lot .We can ...
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Rough Set Approach to Multivariate Decision Trees Inducing
... Abstract—Aimed at the problem of huge computation, large tree size and over-fitting of the testing data for multivariate decision tree (MDT) algorithms, we proposed a novel rough- set-based multivariate decision trees ...
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Improving nearest neighbor classifier using tabu search and ensemble distance metrics
... The nearest-neighbor (NN) classifier has long been used in pattern recognition, exploratory data analysis, and data mining problems. A vital consideration in obtaining good results with this technique is the choice of ...
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A new semantic attribute deep learning with a linguistic attribute hierarchy for spam detection
... In this paper, we proposed another form of deep learn- ing, a linguistic attribute hierarchy, embedded with linguistic decision trees, for spam detection. A case study was carried out on the SMS message database from the ...
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#8 pdf
... In 2006, Reyzin and Schapire [20] reported an interesting finding. It is well-known that the bound of the generalization error is associated with margin, the number of rounds, and the complexity of base learners. When ...
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Data Driven Clinical Decision Support System for Medical Diagnosis and Treatment Recommendation
... Abstract: This paper presents a Data-Driven Clinical Decision Support System (CDSS) using machine learning. The proposed system predicts the possibility of diseases based on the patient’s symptoms. It ...
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Advanced Machine Learning Approach: Deep Learning
... The reports conferred on top of illustrated that Deep Learning encompasses a heap of potential, however must overcome a number of challenges before changing into additional versatile tool. The interest and ...
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Second Order Learning Algorithm for Back Propagation Neural Networks
... the learning process in feed forward neural networks (MLFNN) have been recently studied and several new adaptive learning algorithms have been ...popular learning algorithm is the batch ...
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Prediction of Chronic Kidney Disease Using Random Forest Machine Learning Algorithm
... useful in automating the treatment of kidney stones diseases. J.Van Eyck, J.Ramon, F.Guiza, G.Meyfroidt, M.Bruynooghe, G.Van den Berghe, K.U.Leuven et al [2] used data mining techniques for predicting acute kidney injury ...
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Classification of Complex UCI Datasets Using Machine Learning Algorithms Using Hadoop
... Classification is one of the most researched questions in machine learning and data mining. Classification is a gradual practice for allocating a given piece of input into any of the known category. The ...
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Predicting Instructors Performance in Higher Education Systems
... of learning mining framework is to make sense of the information designs, sort out data of concealed connections, structure affiliation rules, gauge obscure things' esteems to characterize objects make groups out ...
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Classification Of Complex UCI Datasets Using Machine Learning And Evolutionary Algorithms
... The full form of WEKA is Waikato Environment for Knowledge Learning. Weka is a computer program that was developed by the student of the University of Waikato in New Zealand for the purpose of identifying ...
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An Analysis of Urban Cooling Island (UCI) Effects by Water Spaces Applying UCI Indices
... With rapid urbanization and population growth, urban heat island (UHI) effects are occurring frequently due to increases of impervious areas and decreases of green spaces and water spaces. Because this phenomenon can ...
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IJCSMC, Vol. 8, Issue. 4, April 2019, pg.136 – 141 The Use of Data Mining Techniques in Heart Disease Prediction
... Abstract— One-third of deaths worldwide are the result of heart disease, the rate of death from heart disease is higher than the mortality rates due to cancer. The cause of these deaths is the lack of knowledge of the ...
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A Generic Feature Extraction Model using Learnable Evolution Models (LEM+ID3)
... AQ learning algorithm. The output of learning process is a set of rules which predict a class label ...more learning based on the current ...between learning and evolution, and we refer ...
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A Distributed Resource Repository for Cloud-Based Machine Translation
... the repository and although the amount of available parallel data for some of the languages is rather sparse, the number of resources for all the partner languages is still ...
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Classification Based on Invariants of the Data Matrix
... Granular computing is a paradigm of research in the field of artificial intelli- gence. It covers multiple process modeling concepts of information processing in various hierarchical systems, as well as new approaches to ...
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Characterising particulate random media from near-surface backscattering: A machine learning approach to predict particle size and concentration
... supervised machine learning to generate a model that best fits the radius and a separate model that best fits the ...supervised machine learning method of choice is kernel ridge regression ...
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