[PDF] Top 20 1. Applications of data mining classification techniques on predicting breast cancer disease
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1. Applications of data mining classification techniques on predicting breast cancer disease
... Abstract: Breast cancer is a malignant growth in the breast ...tissue. Breast cancer is a second leading death among women today after the cervical ...the breast cancer is ... See full document
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Empirical Study on Data Mining Techniques For Breast Cancer Diagnosis
... Ch. Shravya et.al [1] proposed the logistic regression, support vector machine, K-nearest neighbour. The comparison was made on the basis of accuracy, precession, sensitivity, specificity, false positive rate the ... See full document
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IJCSMC, Vol. 8, Issue. 9, September 2019, pg.01 – 10 A Comparative Study between Data Mining Classification and Ensemble Techniques for Predicting Survivability of Breast Cancer Patients
... Breast Cancer Data was collected from Mizoram Cancer Institute from 2009 till ...collected data contain 25 attributes from the medical record which has been obtained in HBCR (Hospital ... See full document
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1. Educational data mining –applications and techniques
... variables. Classification is used to group individual items based upon quantitative characteristics inherent in the items or on training set of previously labeled ...popular applications of DM in education. ... See full document
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A Review on Breast Cancer Detection Using Data Mining Techniques
... different data mining algorithms to predicts all those cases of breast cancer that are recurrent using Wisconsin Prognostic Breast Cancer (WPBC) dataset from the UCI machine ... See full document
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Data Mining Techniques: To Predict and Resolve Breast Cancer Survivability
... Generally cancer research is based upon statistical models did not reach to spread in medical because the user of these tools are not belongs to a medical ...profession. Data classification process ... See full document
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The Elements of Statistical Learning in Colon Cancer Datasets: Data Mining, Inference and Prediction
... Abstract Data mining is used in various medical applications like tumor classification, protein structure prediction, gene classification, cancer classification based on ... See full document
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A Research on Breast Cancer Prediction using Data Mining Techniques
... suitable breast cancer diagnosis model assist scientific practitioners with accurate and dependable prediction ...of breast cancer makes it treatable which may lead to save ...implied ... See full document
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Role of Different Data Mining Techniques for Predicting Heart Disease
... [7] Author designed an upgraded system to predict the heart ailment with the help of classification schemes using data mining. Author deployed increased number of features as inputs and analyzed ... See full document
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Application of Data Mining Techniques to Model Breast Cancer Data
... various classification techniques random tree outperforms of all other algorithms with highest accuracy ...the disease which is highly essential in a clinical investigation of life threatening ... See full document
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Evaluation of Predictive Ability of Some Data Mining and Statistical Techniques Using Breast Cancer Dataset
... different techniques are studied and the experiments are conducted to find the best classifier for predicting the patient of breast ...with breast cancer under two different testing ... See full document
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PERFORMANCE COMPARISON OF DATA MINING TECHNIQUES FOR PREDICTION AND DIAGNOSIS OF BREAST CANCER DISEASE SURVIVABILITY
... routine classification tasks which should otherwise be referred to the specialist in a particular area of ...the data acquired from actual cases. The data can be preprocessed and expressed in a set ... See full document
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Performance Comparison of Data Mining Techniques for Predicting of Heart Disease Survivability
... heart disease is a significant and tedious task in ...of data available within the healthcare ...in data. Knowledge discovery and data mining have found numerous applications in ... See full document
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Classification Of Outliers For Predicting The Heart Disease Using Distributed Data Mining With Ai
... of data from the distributed and heterogeneous environment. The type of data it utilized was of any type or in any nature to smoothen the processing ...of data collection is the base essence of ... See full document
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1. Survey on data mining classification techniques for prediction of lung cancer
... Data mining (DM) is hidden predictive data extraction Relationships and unknown data, trends, and observations by analyzing large data sets using traditional, hard-to-find and detect ... See full document
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Predicting Diabetes By Cosequencing The Various Data Mining Classification Techniques
... of data mining tend to be prediction and ...the data set to predict unknown or future values of other variables of ...the data that can be interpreted by humans. The Disease Prediction ... See full document
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Supervised Deep Learning Approach To Identify the Lung Cancer
... various data mining techniques in predicting cancer and proposed a methodology of introducing a data mining (Data Integration, Data Selection, Data ... See full document
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Prototype analysis of different data mining Classification and Clustering approaches
... universal data evaluation. For transactional data maintenance in real time applications using co-occurrence with point by point feature ...categorical data to analyze web extraction, ... See full document
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An Efficient Approaches for Classifying and Predicting Heart Disease using Machine Learning Techniques
... the data, based on other entries in the ...the classification algorithm applied to the ...programming techniques to search for the right combination of imputation and classification ...of ... See full document
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ANALYSIS OF HEART ATTACK PREDICTION SYSTEM USING GENETIC ALGORITHM
... MATLAB: - MATLAB is a high language and interactive environment for numerical computation, visualization and programming. Using MATLAB we can analyze data, develop algorithms and create models and ... See full document
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