Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Data Mining Techniques: To Predict and Resolve Breast Cancer Survivability
Predicting breast cancer survivability : a comparison of three data mining methods
Comparison of the C4.5 and a Naive Bayes Classifier for the Prediction of Lung Cancer Survivability
A semi-supervised method for predicting cancer survival using incomplete clinical data
Predicting breast cancer recurrence using effective classification and feature selection technique
performance analysis of data mining algorithms for breast cancer cell detection using naive bayes , logistic regression and decision tree .
CANCER PREDICTION SYSTEM USING DATA MINING TECHNIQUES
COMPARATIVE STUDY ON DIFFERENT CLASSIFICATION TECHNIQUES FOR BREAST CANCER DATASET
Cancer survivability with logistic regression
A Comparative Study of Breast Cancer Diagnosis Using Supervised Machine Learning Techniques
Breast Cancer Diagnosis Using Machine Learning Algorithms - A Survey
Classifying breast cancer by using decision tree algorithms
Breast cancer relapse prognosis by classic and modern structures of machine learning algorithms
Using Machine Learning algorithms for breast cancer risk prediction and diagnosis
Analysis of SEER Dataset for Breast Cancer Diagnosis using C4.5 Classification Algorithm
Big Data Analytics to Predict Breast Cancer Recurrence on SEER Dataset using MapReduce Approach
Colon cancer survival prediction using ensemble data mining on SEER data
Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks
Machine Learning and Deep Learning Techniques to Predict Overall Survival of Brain Tumor Patients using MRI Images
A cross-platform evaluation of various decision tree algorithms for prognostic analysis of breast cancer data
Comparison of Different Classification Techniques Using WEKA for Breast Cancer
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
arabic dialect identification .
SMOTE-GPU: Big Data preprocessing on commodity hardware for imbalanced classification
Combining flat and structured representations for fingerprint classification with recursive neural networks and support vector machines
Hardware and Software Support for Virtualization