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[PDF] Top 20 SURVEY ON PREDICTION OF HEART MORBIDITY USING DATA MINING TECHNIQUES

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SURVEY ON PREDICTION OF HEART MORBIDITY USING DATA MINING TECHNIQUES

SURVEY ON PREDICTION OF HEART MORBIDITY USING DATA MINING TECHNIQUES

... use of data mining techniques in health care, we must transform the data according to the ...requirement. Heart attack related data records with 15 medical attributes ... See full document

21

Data Mining and Neural Network Techniques in Stock Market Prediction : A Methodological Review

Data Mining and Neural Network Techniques in Stock Market Prediction : A Methodological Review

... for Data Mining: In traditional DBMS, Data is stored as a shape of structured ...recognition of intelligent query processing in large databases, especially for data retrieval and ... See full document

11

Seismic Hazard Prediction Using Seismic Bumps: A Data Mining Approach

Seismic Hazard Prediction Using Seismic Bumps: A Data Mining Approach

... number of influencing factors, it is difficult to predict the earthquake which is a natural ...intensively on earthquake prediction. Loss of life and property can be minimized with earthquake ... See full document

6

Geographic Spatiotemporal Dynamic Model using Cellular Automata and Data Mining Techniques

Geographic Spatiotemporal Dynamic Model using Cellular Automata and Data Mining Techniques

... Dynamics of geospatial objects is presented in the form of spatiotemporal trend of geographic data, which requires modeling of spatiotemporal ...presented on mn cells or pixels, ... See full document

9

MULTI MODEL DATA MINING APPROACH FOR HEART FAILURE PREDICTION

MULTI MODEL DATA MINING APPROACH FOR HEART FAILURE PREDICTION

... Most of the heart failure predictive systems [10, 11] follow best model approach, they either tune the model or transform the available data for the better performance of the predictive ... See full document

7

Delays prediction using data mining techniques for supply chain risk management company

Delays prediction using data mining techniques for supply chain risk management company

... Pressure on improving the efficiency, guarantee that goods arrive on time and reduce the cost of shipment became ...flow of materials or the planned ...use of supply chain risk ... See full document

34

A comparative analysis of classifiers in cancer prediction using multiple data mining techniques

A comparative analysis of classifiers in cancer prediction using multiple data mining techniques

... relevance of the problem at hands, we chose to include six modelling algorithms which have proven effectively in past studies, with the most recent performing better for our case, namely the neural network and the ... See full document

13

A Survey of Classification Techniques in Data Mining

A Survey of Classification Techniques in Data Mining

... Data mining involves the use of sophisticated data analysis tools to discover previously unknown, valid patterns and relationships in large data ...Consequently, data ... See full document

7

An Efficient Prediction of Breast Cancer Data using Data Mining Techniques

An Efficient Prediction of Breast Cancer Data using Data Mining Techniques

... based on their similarity. An object is classified by a majority of its ...set of objects for which the correct classification is ...all of the training samples are stored in an n- dimensional ... See full document

6

A Survey Paper on Crime Prediction Technique Using Data  Mining

A Survey Paper on Crime Prediction Technique Using Data Mining

... crime data to predict future crime locations and time [1]. Crime prediction for future crime is a process that find out crime rate change from one year to the next and project those changes into the ... See full document

5

Feature Specific Criminal Mapping using Data Mining Techniques and Generalized Gaussian Mixture Model

Feature Specific Criminal Mapping using Data Mining Techniques and Generalized Gaussian Mixture Model

... in prediction of the occurrence of the future ...based on the location, which helps for to analyze the locations chosen by the ...the data of crime, finding the frequent ... See full document

5

Educational Data Mining & Students’ Performance Prediction

Educational Data Mining & Students’ Performance Prediction

... significant data mining research using the Naïve Bayes classification method, on a group of BCA students (Bachelor of Computer Applications) in ...objectives of this study ... See full document

9

The influence of active region information on the prediction of solar flares: an empirical model using data mining

The influence of active region information on the prediction of solar flares: an empirical model using data mining

... in data mining or data assimilation codes for predicting solar events because of the large complexity of the problem (Hochedez, ...probability of the occurrence of a solar ... See full document

10

A New Approach to Find Predictor of Software Fault Using Association Rule Mining

A New Approach to Find Predictor of Software Fault Using Association Rule Mining

... predictors using association ...part of the relation and other metrics comes in consequent ...both of the metrics in the relation for developing fault prediction ...type of information ... See full document

14

Toward enhanced understanding and projections of climate extremes using physics-guided data mining techniques

Toward enhanced understanding and projections of climate extremes using physics-guided data mining techniques

... theorem of statistics that gives a statistically naive way to avoid these false positive responses to a search through the data, has been used widely in the past with large ... See full document

46

MINERAÇÃO DE DADOS E ESTIMATIVA DA MORTALIDADE ALTA DE FRANGOS QUANDO EXPOSTOS A ONDA DE CALOR

MINERAÇÃO DE DADOS E ESTIMATIVA DA MORTALIDADE ALTA DE FRANGOS QUANDO EXPOSTOS A ONDA DE CALOR

... impact on ani- mal ...impact on Brazilian broiler ...losses of 15- 30% in poultry production for the heat wave that hit European producer countries in ...based on the temperature and humidity ... See full document

7

A Survey on Fault Localization Techniques

A Survey on Fault Localization Techniques

... some of the ...use of the terms “bug”, “debug” and “debugging” in the field of computer ...process of detecting, locating and fixing faulty statements in computer ...amount of resources ... See full document

10

Security threats management in android systems

Security threats management in android systems

... this data an expected activity switch path is created and then used in the dynamic analysis stage, together with the UI interaction simulator, to determine which UI elements can trigger this behavior on the ... See full document

86

Using Data Mining with Time Series Data in Short-Term Stocks Prediction: A Literature Review

Using Data Mining with Time Series Data in Short-Term Stocks Prediction: A Literature Review

... series data is popular and many applica- tions can be found in the literature, for instance, for earthquake forecasting [12], characterization of ozone behavior [13], or flood prediction ...that ... See full document

5

Luis Miguel Sintra Salvo Paiva

Luis Miguel Sintra Salvo Paiva

... growth of data used in the Ontology Learning process, can be identified in three areas: (i) speed to process large sets of data as it can be really ...advantage of multi-core processor ... See full document

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