[PDF] Top 20 Svm Classifier Algorithm for Data Stream Mining Using Hive and R
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Svm Classifier Algorithm for Data Stream Mining Using Hive and R
... Big Data though it is hype up-springing many technical challenges that confront both academic research communities and commercial IT deployment, the root sources of Big Data are founded on data ... See full document
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MASSIVE DATA MINING (MDM) ON DATA STREAMS USING CLASSIFICATION ALGORITHMS
... sea data stream the number of instances are ...by using two evaluation methods ...massive data MDM technique is best suited and it has lot of scope for future ... See full document
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Title: ONLINE SENSOR BASED C4.5 ALGORITHM FOR STRUCTURAL HEALTH MONITORING
... a data classification ...large data stream. In this paper, the convex–concave hull and SVM are modified into online versions, such that the novel data classifiers for the SHM can be ... See full document
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Accelerated PSO Swarm Search Feature Selection with SVM for Data Stream Mining Big Data
... training data to estimate the means and variances of the features for computing the probabilities of all the possible outcomes for performing ...algorithms using HB in node splitting test are called ... See full document
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MAXIMIZED RESULT RATE JOIN ALGORITHM
... predictive data mining has become an essential instrument for hospital management and medical ...Bayesian classifier, have been discussed which is used to investigated and evaluated for predicting ... See full document
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Diabetes data prediction using data classification algorithm
... for SVM is 22%, Simple Logistics is ...diabetes data for his effort and the decision tree using WEKA has been used to put up the prediction ...tree classifier was used. Using Diabetic ... See full document
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Fast Feature Selection for Naive Bayes Classification in Data Stream Mining
... Bayes algorithm is to due to the inclusion of irrelevant ...Bayesian classifier, the Naïve Bayes classifier should perform better when irrelevant features are ...training data, the frequency ... See full document
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Classification of brain MRI images by comparing SVM classifier and PNN classifier using Confusion Matrix
... uses algorithm and techniques which perform different tasks and activities to provide efficient ...original data into higher ...two data sets can always be divided by ...the data but only one ... See full document
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Study and Analysis of Multilingual Handwritten Characters Recognition using SVM Classifier
... theSVM Classifier. This study can further be implemented using the HOG features with SVM for handwritten script recognition of different languages combined in a single document ... See full document
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A Fast and Efficient Algorithm for Finding Frequent Items over Data Stream
... a data stream. Lossy Counting is a one-pass algorithm that provides an accuracy guarantee on the set of frequent data items and their frequencies ...of data items ...an algorithm ... See full document
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IMPLEMENTATION OF ALGORITHM OUTPUT GRANULARITY APPROACH IN CLUSTERING ALGORITHM FOR MOBILE DATA STREAM MINING
... Now if this threshold exceeds the time required to fill the remaining memory then swapping of Memory content begins to secondary memory. Because threshold is dependent on algorithm output rate, higher ... See full document
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Tree stream mining algorithm with Chernoff-bound and standard deviation approach for big data stream
... Based on the experiment with three real-world datasets, the result has shown that our approach has an improved accuracy performance compared to the standard method. Those three datasets have the same characteristic; each ... See full document
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A Review on Insider Attack Detection Algorithm Using Data Mining Techniques
... Proposed highlights speak to weak indicators of insider action which in blend with bi-grouping and on-class SVM prompt better execution of the general detection framework. Approach is unsupervised and, along these ... See full document
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Bucketization based Flow Classification Algorithm for Data Stream Privacy Mining
... privacy-preserving data mining , an extensively utilized technique for attaining data mining objectives as protecting privacy is supported with on ...well-known data mining ... See full document
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Data Stream Mining – A Survey
... offline data streams. Clustering text data streams is one in all the topics that have evolved as necessary challenge for data processing ...to data processing ...fixed data streams for ... See full document
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Automated attendance system using Face recognition
... high-dimensional data, this method is designed to model linear ...the data and for which the coefficients are pairwise decorrelated ...vectors using the Euclidean ... See full document
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Data Mining for Banking and Finance
... difficult. Data mining techniques are used to discover hidden knowledge, unknown patterns and new rules from large data sets, which maybe useful for a variety of decision making ... See full document
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A Fast And Energy Efficient Path Planning Algorithm For Offline Navigation Using Svm Classifier
... Non-linear SVM Decision Tree based Classification ...hybrid classifier of SVM algorithm and decision tree algorithm into one multi-class classifier to solve multi-class ... See full document
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Survey on Detection and Rectification of Distorted Fingerprint Using SVM Classifier by PCA Algorithm
... In this methodology, a minutia in the fingerprint implies the ridge characteristics such as ridge ending or ridge bifurcation. Almost all the fingerprint recognition systems usage minutiae for matching. The abnormality ... See full document
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Human Activity Recognition Using HOG Features
... Abstract— Human activity recognition is delivered information about the identity of a person, psychological state, and their personality. The human ability to recognize human activities is one of the leading subjects of ... See full document
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