Data classification
A Review of Data Classification and Data Security in Cloud Environment
... the data. Confidentiality of data integrity of data as well as availability of data are the key concerns for security in cloud ...of data is the biggest concern that curbs the quality ...
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Analysis and Data Classification Methodology for Data Mining Pattern
... Data and pattern classification is used to classify each item in a set of cluster of data into one of predefined set of ...groups. Classification is a function of data mining, ...
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An Association Rrule Data Classification with Optimization
... and Data Classification data mining plays a role of key ...of Data mining as a process filtering technique is used in this paper for calculating the support value of the ...based ...
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A Study of recent classification algorithms and a novel approach for biosignal data classification
... the data as crispy as ...the classification performance based on the crisp ...the classification performance based on the crisp ...local classification performance based on the crisp ...
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Diabetes data prediction using data classification algorithm
... the classification algorithms are compared by utilizing matrix and classification ...diabetes data for his effort and the decision tree using WEKA has been used to put up the prediction ...Diabetic ...
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Data classification algorithm for data intensive computing environments
... big data, mining useful infor- mation has become a subject of interest. Data-intensive environments have been considered only in the context of big data mining ...on data mining algorithms in ...
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Epileptic Seizure Data Classification Using RBAs and Linear SVM
... EEG data of normal and epileptic ...and classification is performed using Linear Support Vector Machine (Linear ...EEG data with reduced computational cost and high ...Our classification ...
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DATA CLASSIFICATION ALGORITHMS
... These classification algorithms can be implemented on different types of data sets like data of patients, financial data according to ...
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Supporter in High Dimensional Data Classification
... forest has a single component and forms a minimum spanning tree.The sample tree is as follows,In this tree, the vertices represent the relevance value and the edges represent the F-Correlation value. The complete graph G ...
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Booster in High Dimensional Data Classification
... : Data Mining is a technique used in various domains to give mean- ing to the available ...In classification tree modeling the data is classified to make predictions about new ...old data to ...
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Booster in High Dimensional Data Classification
... There are two concepts in Booster to reflect the two domains. The first is the shape, Booster’sequivalent of a traditional array[6] a finite set of elements of a certain data-type, accessible through indices. ...
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Performance of Classification in Medical Data Mining
... Medical Data Mining: Hanauer [2] reported the challenges and solutions in mining electronic data for research and patient ...exploratory data mining techniques to medical health and clinical ...in ...
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Comparative Study between Various Classification Algorithms for Classification of Cardiotocogram Data
... CTG data classification system using a supervised SVM, Decision Tree, MLP and Navie Bayes which can classify the CTG data based on its training ...CTG data with very good ...
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Study on Classification of Data in Power Industry
... the data security issues is very ...big data, but the cloud environment and huge amounts of data cause the problem of data security, including the illegal acquisition and leakage of ...
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Simple Classification Using Binary Data
... on data classification problems in which only a binary representation of the data is ...binary data representation can also be particularly appealing in hardware implementations because it is ...
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Classification of Cardiotocography Data with WEKA
... CTG data classification system using a supervised Artificial Neural Network (ANN) which can classify the CTG data based on its training ...based classification model has been compared with the ...
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CLASSIFICATION OF CONTINUOUS DATA- A SURVEY
... traditional classification algorithms have been focused on classifying discrete and static ...“Big Data” referring to huge volumes of data available in the world in various forms from different ...
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Analysis of Attribute Selection and Classification Algorithm Applied to Hepatitis Patients
... For this research, five classier are chosen to predict hepatitis data. The classifier is NaiveBayesUpdatable, SMO, KStar, RandomTree, and SimpleLogistic. The analysis is done by looking at the mean absolute error, ...
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Adaptive Learning for Data Mining Classification
... The classification of algorithm for dataset Recommendation should be appropriate as it is very important and beneficial task but it goes through some ...different classification problem there is no best ...
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Survey Of Classification Techniques In Data Mining
... various classification techniques used in data mining and a study on each of ...them. Data mining is a wide area that integrates techniques from various fields including machine learning, artificial ...
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