[PDF] Top 20 Title: Analysis of Breast Cancer Recurrence using Combination of Data Mining Techniques
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Title: Analysis of Breast Cancer Recurrence using Combination of Data Mining Techniques
... are using combination of two data mining techniques ...are using Kmeans clustering method and apriori algorithm for finding frequent ...database using Weka tool ...rule ... See full document
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Gastric Cancer Analysis In Data Mining Techniques
... junction) cancer is the third leading cause of cancer-related death in the ...gastric cancer, in terms of cancer recurrence and patient ... See full document
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Analysis of classifier to improve Medical diagnosis for Breast Cancer Detection using Data Mining Techniques
... the data that most effectively splits the set of samples into subsets enriched in one class or the ...popular data mining approaches is to find frequent itemsets from a transaction dataset and derive ... See full document
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Application of Data Mining Techniques to Model Breast Cancer Data
... classify breast cancer Wisconsin data set with high accuracy and efficiency, supervised learning algorithms ...used. Data pre-processing is performed using SPSS tool and the missing ... 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
... and data mining in the medical ...important data can be determined by using the evaluator in WEKA (Waikato Environment for Knowledge Analysis), which is an open-source free machine ... See full document
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A Study on Genes Identification with Expression Levels Related to Breast Cancer Prognosis Using Data Mining Techniques
... of cancer cells is a difficult and currently very important issue in ...for cancer patients by analyzing their genetic make-up is a central goal of many research ...extraction techniques that are ... See full document
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Diagnosis of Breast Cancer by Combining the Techniques of Data Mining and Artificial Immune System
... reast cancer is one of the most common causes of death among ...of breast cancer increases the chance of ...medical data stored electronically is increasing day by ...raw data itself ... See full document
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Data Mining Techniques: To Predict and Resolve Breast Cancer Survivability
... 202,932 breast cancer patients records, which then pre-classified into two groups of “survived” (93,273) and “not survived” ...array data, and compared the prediction performance of these ...on ... See full document
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Empirical Study on Data Mining Techniques For Breast Cancer Diagnosis
... of data is increasing dramatically. Analyzing these huge amount of data to extract the novel and usable information or knowledge is very complicated and time consuming ...task. Data mining ... See full document
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1. Applications of data mining classification techniques on predicting breast cancer disease
... of breast cancer. Since breast cancer is complex disease it is likely to be caused by a combination risk ...therapy. Data Mining is the process of extracting hidden and ... See full document
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Utilization of Data Mining Techniques for Analysis of Breast Cancer Dataset Using R
... Data mining (DM) comprises the core algorithms that enable to gain fundamental insights and knowledge from massive ...data. Data mining is all about the larger knowledge discovery ... 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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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 ... See full document
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<p>Outcomes of Sentinel Lymph Node Biopsy Using Blue Dye Method for Early Breast Cancer – A Single-Institution Experience in the Philippines</p>
... between using blue dye only and the combination of radioactive tracer and blue dye ...10% using standard protocols. 32 However, in low resource settings, using blue dye for SLNB remains a ... See full document
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Website Personalization Using Data Mining Techniques Collaborative Filtering
... use techniques from collaborative filtering, in which proximity measures between users are formulated to generate recommendations, or content-based filtering, in which users are compared directly to ... See full document
5
Stock data prediction using predictive data mining techniques
... prediction techniques plays a very crucial role in bringing more people into market as well as to retain the existing ...prediction techniques must be treated like astrology or ...applied techniques ... See full document
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Heart Disease Prediction System Using Data Mining Techniques
... noisy data, inconsistencies, and outliers presented a challenge in the data mining ...of data mining ...disease using intelligent image recognition ... See full document
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Sequence and Structure Analysis of CRP of Lung and Breast Cancer using Bioinformatics Tools and Techniques
... and breast cancer were recorded by present study caused different effects on the structure of protein when it compared with CRP retrieved from NCBI as show in the result of structure analysis such as ... See full document
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Title: Study of Clustering Techniques in the Data Mining Domain
... noisy data when it ...when using vast data and its performance grows when the number of clusters ...characteristic using K- means clustering can be used. Here categorical data is ... See full document
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Deceit Exposure of Monetary Withdrawal Transactions using Data Mining
... database using the account number of the customer as a retrieval ...clusters using the Epsilon and minimum point ...transaction using the rule defined in previously for ... See full document
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