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[PDF] Top 20 An Efficient Prediction of Breast Cancer Data using Data Mining Techniques

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An Efficient Prediction of Breast Cancer Data using Data Mining Techniques

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 ...cancers. Breast cancer has become the most hazardous types of cancer ... See full document

6

SURVEY ON PREDICTION OF HEART MORBIDITY USING DATA MINING TECHNIQUES

SURVEY ON PREDICTION OF HEART MORBIDITY USING DATA MINING TECHNIQUES

... on using different algorithms for predicting combinations of several target ...attack prediction methods using data mining ...provided an efficient approach for the ... See full document

21

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 ...earthquake prediction. Loss of life and property can be minimized with earthquake ...earthquake ... See full document

6

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 ...offers an excellent way for the recognition of intelligent query processing in large databases, ... See full document

11

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 ...product. ... See full document

7

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

... Data mining or knowledge discovery in databases can be defined as the process for discovering the hidden patterns from amounts of ...data. Data mining can be applied in various ... See full document

13

Security threats management in android systems

Security threats management in android systems

... Esta dissertação teve como objetivo verificar se os padrões de comportamento malicioso são uma forma viável de enfrentar esse desafio. Para responder à pesquisa proposta foram construídos e testados dois modelos de ... See full document

86

Associated Sensor Patterns Mining of Data Stream from WSN Dataset

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 ...the mining problem into a set of smaller problems but one ... See full document

6

Adaptive learning redemption rate prediction model

Adaptive learning redemption rate prediction model

... collection of data (Gepperth & Hammer, ...goal of this dissertation is also to create an adaptive model framework, so time-dependent changes are considered, enabling the predictive model ... See full document

71

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

... that of the existing faces for finding the likelihood of the criminals[uttam et ...identity. Data mining techniques help to explore the enormous data and making it possible in ... See full document

5

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

... evolution of high-resolution weather and climate models, both of which divide the planet up into ever-decreasing grid-sizes, are the primary factors driving data ...Ensembles of archived cli- ... See full document

46

COSIMA data analysis using multivariate techniques

COSIMA data analysis using multivariate techniques

... Kissel, J., Altwegg, K., Clark, B. C., Colangeli, L., Cottin, H., Czempiel, S., Eibl, J., Engrand, C., Fehringer, H. M., Feuer- bacher, B., Fomenkova, M., Glasmachers, A., Greenberg, J. M., Grun, E., Haerendel, G., ... See full document

12

Feature Relevance Analysis and Classification of Road Traffic Accident Data through Data Mining Techniques

Feature Relevance Analysis and Classification of Road Traffic Accident Data through Data Mining Techniques

... Department of Information Science and Technology, Anna University, Chennai, ...years of teaching and research experience. Her areas of specialization include Data mining, Evolutionary ... See full document

6

3D Breast Cancer Models: Multimodal Data Registration

3D Breast Cancer Models: Multimodal Data Registration

... the breast may have a completely different aspect and shape, and that difference may cause the patient to feel less confident about their body, less attractive and more ...consequences of the surgery are ... See full document

114

Agile Data Mining: uma metodologia ágil para o desenvolvimento de projetos de data mining

Agile Data Mining: uma metodologia ágil para o desenvolvimento de projetos de data mining

... A segunda fase do SEMMA é a exploração. Nesta fase é realizada uma pesquisa por padrões, tendências e anomalias, de forma a obter uma melhor perceção do conjunto de dados. Depois da fase de amostragem, o passo seguinte é ... See full document

109

Data mining applied to neurorehabilitation data

Data mining applied to neurorehabilitation data

... least an initial treatment is ...degree of a TBI is a signal of short and long-term ...loss of functions. In case of partial loss of brain functions, a training induced ... See full document

81

A Data Mining approach towards effective Dengue outbreak prediction in Seremban, Malaysia

A Data Mining approach towards effective Dengue outbreak prediction in Seremban, Malaysia

... disclosure of project results, but the original dataset must not be disclosed to ...part of a surveillance ...event of a potential pandemic, by finding patterns that resemble to previous dengue ... See full document

117

DATA MINING IN CUSTOMER RELATIONSHIP MANAGEMENT

DATA MINING IN CUSTOMER RELATIONSHIP MANAGEMENT

... on data mining techniques for multinational firms to compete, applying them to principles of this approach ...database of customer information by which we can achieve a finer ... See full document

7

An Efficient Scheduling Algorithm for Irregular Data Redistribution

An Efficient Scheduling Algorithm for Irregular Data Redistribution

... Dynamic data redistribution is used to enhance the performance of an algorithm and to achieve data locality in parallel programs on distributed memory ...The data redistribution problem ... See full document

6

Survey of Data Security Challenges in the Cloud

Survey of Data Security Challenges in the Cloud

... pollution data, analyzing data to identify pollution levels and initiating corrective ...advent of new technologies, we can achieve effective pollution monitoring and control using use a ... See full document

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