[PDF] Top 20 A comparative analysis of classifiers in cancer prediction using multiple data mining techniques
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A comparative analysis of classifiers in cancer prediction using multiple data mining techniques
... world, cancer is recognized as a common disease and it is still the main cause of death in the ...world. In the United States, cancer is the second cause of death and maintenance ... See full document
13
COMPARISON ANALYSIS OF WEB USAGE MINING USING PATTERN RECOGNITION TECHNIQUES
... log data collected from NASA web server to find out useful browsing ...role in improving the web server performance. There are a number of web usage mining tools available in the market ... See full document
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Constructed response or multiple-choice for evaluating Excel questions?: that is the question
... object in all this process, it is important to mention that apart from the objectives included in the same, the format of the test also is part of the assessment method, where from the various ... See full document
100
Educational Data Mining & Students’ Performance Prediction
... section, multiple decision tree techniques and algorithms were reviewed, and their performances and accuracies were tested and ...final analysis, it was obviously noticed that some algorithms worked ... See full document
9
ANALYSE THE PERFORMANCE OF ENSEMBLE CLASSIFIERS USING SAMPLING TECHNIQUES
... Ensemble classifiers, the Combination of multiple prediction models of classifiers is important for making progress in a variety of difficult prediction ... See full document
4
Feature Relevance Analysis and Classification of Road Traffic Accident Data through Data Mining Techniques
... dataset using classification algorithms ...Ranking), classifiers using Arc-X4 Meta classifier to find road accident patterns using injury severity based ...classifier using Arc-X4 Meta ... See full document
6
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 ...visualized in two ... See full document
9
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, ... See full document
7
Data Mining and Neural Network Techniques in Stock Market Prediction : A Methodological Review
... component analysis (ICA)-based de-noising scheme with neural network proposed for stock price prediction model outperforms the integrated wavelet de-noising technique with BPN model, the BPN model with ... See full document
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Comparative analysis of model behaviour for flood prediction purposes using Self-Organizing Maps
... representation of the natural system ...consequence of this simplification, mod- els are often not capable of covering the entire behavioural domain of the natural system with only one set ... See full document
20
An Efficient Prediction of Breast Cancer Data using Data Mining Techniques
... Breast cancer is one of the major causes of death in women when compared to all other ...Breast cancer has become the most hazardous types of cancer among women in ... See full document
6
Associated Sensor Patterns Mining of Data Stream from WSN Dataset
... In data mining field, FP Growth algorithm is well-known algorithm for frequent pattern which remove the drawback of Apriori ...[8]. In FP Growth algorithm, first scan the database and ... See full document
6
MINERAÇÃO DE DADOS E ESTIMATIVA DA MORTALIDADE ALTA DE FRANGOS QUANDO EXPOSTOS A ONDA DE CALOR
... result in losses of animal production since they are exposed to thermal stress inducing an increase in mortality and consequent economical ...enough data in the poultry production ... See full document
7
A New Approach to Find Predictor of Software Fault Using Association Rule Mining
... rule mining and statistical analysis to see whether we could classify the Software module into Multinomial ...categorization. In Multinomial categorization, we investigate whether metrics selected ... See full document
14
EFFECTIVENESS PREDICTION OF MEMORY BASED CLASSIFIERS FOR THE CLASSIFICATION OF MULTIVARIATE DATA SET
... piece of input into any of the given ...occurs in different application areas and need to be ...performance of different memory based classifiers for classification of ... See full document
12
Analysis of influencing factors of severity in acute pancreatitis using big data mining
... characteristics of AP patients in class I could be described as follows: most of the AP patients were male ...range of onset age was 55~65 years; as far as marital status was con- cerned, the ... See full document
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Rev. adm. empres. vol.39 número3
... Data mining techniques aborda mais especi- ficamente as aplicações mercadológicas. Os seis capítulos iniciais do livro introduzem concei- tos básicos e colocam a mineração no contexto de negócios, ... See full document
3
Credit analysis using data mining: application in the case of a credit union.
... fellow in Modeling and Simulation, Department of Industrial and Systems Engineering, Texas A&M University, IE-TAMU, USA (2002), ...University of Rio de Janeiro (UFRJ); Associate Professor, ... See full document
18
Luis Miguel Sintra Salvo Paiva
... installed in society ...search in his mind through all data and information available in it, and try to discover a pattern such as “she likes butterflies” or “she likes red” to make sense ... See full document
143
An Electronic Market Space Architecture Based On Intelligent Agents And Data Mining Technologies
... ture of IP includes an Authentication Header (AH) witch provides authenticity and integ- rity using the message-digest algorithm (MD5) [3] and Encapsulating Security Pay- load (ESP) [1] witch provides ... See full document
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