[PDF] Top 20 Predictive Analysis on Hematology using Data Mining Techniques
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Predictive Analysis on Hematology using Data Mining Techniques
... The data set included sex, hematological param-eters, and RBC ...Collected data are assigned to two groups: normal RBC morphology and abnormal RBC ...about data set are shown in Table ... See full document
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Predictive Analysis On Student Competency In Database Management System: A Data Mining Approach
... numerous data are being process and stored in ...a data mining techniques. The data was collected through the use of a survey questionnaire, created using the google ... See full document
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Big data for development: applications and techniques
... big data related developments in education: learning analytics and educational data ...combines data analytics and learning, thus bringing researchers together from various fields such as computer ... See full document
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Intrusion Detection System Based on Data Mining Techniques
... transition analysis approach, (2) Anomaly based system that uses payload modeling and (3) Hybrid model that combines the best practices of Misuse and Anomaly based intrusion ... See full document
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Validated Agent-Based Model using Predictive Data Mining and Intervention Policy Testing Framework: A Case Study in Child Vehicle Safety
... other data pre-processing is performed on the database before the start of regression ...of data should be reasonable among different ...that data distribution within these variables was not ... See full document
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Predictive Risk Categorization of Retail Bank Loans Using Data Mining Techniques
... step data mining classification algorithm, SVM,CART and mainly j48 algorithm is used to classify prospective loan customer to fall into one of the three risk categories ... See full document
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Predictive Analysis of Big Data in Data Mining
... Big Data. The volume of data is too large for comprehensive ...disparate data sources, from back end customer databases through to live web based click streams, are too great for any analyst to test ... See full document
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Comparison of methods of data mining techniques for the predictive accuracy
... available data set, (2) we used cross-validation in order to compute the error rate (researcher did not specify in the paper which method they used or did they use one at ... See full document
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Evaluation of Predictive Ability of Some Data Mining and Statistical Techniques Using Breast Cancer Dataset
... This algorithm is a successor to ID3 developed by Quinlan Ross in 1993.It is also known as J48 algorithm. It is also based on Hunt’s algorithm. It is serially implemented like ID3.Using this algorithm; pruning can ... See full document
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Analysis of Data Mining Techniques
... information mining has developed as an extremely dynamic research region in information ...information mining comes about as a rule don't disregard security of people, it can't be guaranteed that an ... See full document
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Application of data mining techniques for outlier mining in medical databases
... of data analysis and the complex relationships that appear with regard to patient symptoms, diagnoses and behavior are the most promising areas of outlier ...by using statistical ...in data ... See full document
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Data Mining Techniques for Predicting Immunize-able Diseases: Nigeria as a Case Study
... tree using the rate of DO for the six (6) classes of diseases analyzed in this ...the predictive ability of the models were minimized using the correlation coefficient ... See full document
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Data Mining Techniques with a Case Analysis Using Clementine
... Distribution Node The Distribution node shows the occurrence of symbolic values, such as mortgage type or gender. Histogram Node The Histogram node shows the occurrence of v[r] ... See full document
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Cardiovascular Disease Prediction Using Data Mining Techniques: A Review
... different techniques to predict the prevalence of cardiovascular diseases in general and heart disease in particular from time to time by implementing variety of ...by using computer based predictive ... See full document
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IJCSMC, Vol. 6, Issue. 11, November 2017, pg.38 – 42 An Analysis on Removal of Duplicate Records using Different Types of Data Mining Techniques: A Survey
... the data in order to offer high quality services, such as digital libraries and ecommerce brokers, may be affected by the existence of duplicates, quasi-replicas, or near-duplicates entries in their ...concise ... See full document
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Data Analysis and Visualization of Sales Data Using Data Mining Techniques
... of data becomes important not for its quantity but for the quality of information extracted from ...large data space, all knowledge generating and data mining tools would become obviously ... See full document
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A Solution for Preventing Fraudulent Financial Reporting using Descriptive Data Mining Techniques
... descriptive data mining techniques such as Association rules and clustering as opposed to predictive data mining techniques used in the ...these techniques is ... See full document
7
Heart Disease Prediction System Using Data Mining Techniques
... for predictive model for the Ischemic Heart Disease (IHD); they applied Back-propagation neural network (BPNN), the Bayesian neural network (BNN), the probabilistic neural network (PNN) and the support vector ... See full document
10
Agricultural Data Modeling and Yield Forecasting using Data Mining Techniques
... a predictive model that provides a cultivation plan for the farmers to high yield of paddy crop using data mining ...techniques. Data mining techniques extract ... See full document
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A Study on Customer Rentention using Predictive Data mining Techniques
... the data mining techniques is very important for the customer relationship ...various data mining techniques can be grouped for the enhancement of CRM .... Data ... See full document
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