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[PDF] Top 20 Comparison of methods of data mining techniques for the predictive accuracy

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Comparison of methods of data mining techniques for the predictive accuracy

Comparison of methods of data mining techniques for the predictive accuracy

... the data set with predefined classes, and according to the value of K, the algorithm showed what class is mostly distributed around the ...training data set is large, in multi-class cases, and when there ... See full document

18

Evaluating the High Risk Groups for Suicide: A Comparison of Logistic Regression, Support Vector Machine, Decision Tree and Artificial Neural Network

Evaluating the High Risk Groups for Suicide: A Comparison of Logistic Regression, Support Vector Machine, Decision Tree and Artificial Neural Network

... in comparison to LR when fewer variables are included ...different methods LR, SVM and linear discriminant analy- sis were ...the methods while the results for SVM had to be ...better ... See full document

9

Comparison of Data Mining Techniques used for Financial Data Analysis

Comparison of Data Mining Techniques used for Financial Data Analysis

... Bootstrap aggregating (bagging) is a machine learning ensemble meta-algorithm designed to improve the stability and accuracy of machine learning algorithms used in statistical classification and regression. It ... See full document

5

Evaluation of Predictive Ability of Some Data Mining and Statistical Techniques Using Breast Cancer Dataset

Evaluation of Predictive Ability of Some Data Mining and Statistical Techniques Using Breast Cancer Dataset

... Prediction techniques performance comparison issues is an interesting topic for many ...and data mining techniques on Motor Vehicle Traffic Crash dataset, resulted that the data ... See full document

10

AN OVERVIEW OF DATA MINING TECHNIQUES AND THEIR APPLICATION IN INDUSTRIAL ENGINEERING

AN OVERVIEW OF DATA MINING TECHNIQUES AND THEIR APPLICATION IN INDUSTRIAL ENGINEERING

... Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database ...of data mining ... See full document

7

Agricultural Data Modeling and Yield Forecasting using Data Mining Techniques

Agricultural Data Modeling and Yield Forecasting using Data Mining Techniques

... A predictive model that provides a cultivation plan for farmers to get high yield of paddy crops using data mining techniques is proposed by Anitha ...Arumugam[2]. Data is collected ... See full document

5

Predictive Analysis on Hematology using Data Mining Techniques

Predictive Analysis on Hematology using Data Mining Techniques

... These data are useful for retrospective study exploring a relationship between laboratory results and ...a data mining technique to predict abnormality in peripheral blood smear from 1,362 students ... See full document

5

A review on stock data prediction using predictive data mining techniques

A review on stock data prediction using predictive data mining techniques

... Stock market is the bone of fast emerging economies such as India. Major of capital infusion for companies across the country was made possible only through shares sold to people. So our country growth is tightly bounded ... See full document

5

Data Mining Techniques for Predicting Immunize-able Diseases: Nigeria as a Case Study

Data Mining Techniques for Predicting Immunize-able Diseases: Nigeria as a Case Study

... the predictive model is the ...for data mining ...used data mining methodology for knowledge discovery, and it consists of six phases: The business understanding, data ... See full document

11

Comparative Study of Existing Techniques for Diagnosing Various Thyroid Ailments

Comparative Study of Existing Techniques for Diagnosing Various Thyroid Ailments

... [7]Various data mining techniques like Bayes net, MLP, RBF Network, ...a data set with3772 instances from which 3481 belongs to category negative,194 belongs to compensated hypothyroid ... See full document

6

ACCURACY ENHANCEMENT OF CLASSIFICATION ON PREDICTIVE DATA MINING MODEL

ACCURACY ENHANCEMENT OF CLASSIFICATION ON PREDICTIVE DATA MINING MODEL

... Thus we proposed that integration of clinical decision support with computer-based patient records could reduce medical errors, enhance patient safety, decrease unwanted practice variation, and improve patient outcome. ... See full document

9

A SURVEY ON USE OF DATA MINING METHODS TECHNIQUES AND APPLICATION

A SURVEY ON USE OF DATA MINING METHODS TECHNIQUES AND APPLICATION

... imprecise data and can be used to extract patterns and detect trends that are too complex to be noticed by either humans or other computer ...in data and well suited for prediction or forecasting ...etc. ... See full document

8

Predictive Human Resource Analytics Using Data Mining Classification Techniques

Predictive Human Resource Analytics Using Data Mining Classification Techniques

... but Data mining can play role to predict those employees who are expected to quit/leave an organization such that the HR department can device intervention strategy or look for ...use data ... See full document

12

Stock data prediction using predictive data mining techniques

Stock data prediction using predictive data mining techniques

... of Data mining for Stock price predictions: Several works are done to predict stock price movements based on charting historical ...The data mining techniques can address such ... See full document

7

Diagnosis of Breast Cancer by Combining the
Techniques of Data Mining and Artificial Immune
System

Diagnosis of Breast Cancer by Combining the Techniques of Data Mining and Artificial Immune System

... the data mining process through the synthetic immune ...educated data transforms to the antibody environment and the remained data are transformed to the antigen ...following: accuracy, ... See full document

8

A Maintenance Prediction System using Data Mining Techniques

A Maintenance Prediction System using Data Mining Techniques

... Applying data mining techniques on the available industrial maintenance data may help to discover useful rules that allow locating some critical issues that will have substantial impact on ... See full document

6

E Auction Frauds   A survey

E Auction Frauds A survey

... Table 3 Comparison of Fraud Detection Techniques Comparison of Fraud Detection Techniques Reputation system Data mining Based system No No Historical Data needed Historical Data needed E[r] ... See full document

5

A Comparative Study of Classification Techniques in Data Mining Algorithms

A Comparative Study of Classification Techniques in Data Mining Algorithms

... classifier that must have the capacity to accurately arrange both training and test cases. A test example is an input object and the algorithm must predict an output value. Consider the sample training data set ... See full document

7

A Study on Customer Rentention using Predictive Data mining Techniques

A Study on Customer Rentention using Predictive Data mining Techniques

... using data mining technology for predicting the customer ...unprocessed data can be converted into useful information and then into knowledge for which they had used predictive data ... See full document

5

Comparison of different oxidation techniques for biofunctionalization of pyrolyzed carbon

Comparison of different oxidation techniques for biofunctionalization of pyrolyzed carbon

... oxidation techniques produce different effect on the surface ...pretreatment techniques are more applicable for applications which require smooth oxidized electrode ... See full document

8

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