Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Breast Cancer Diagnosis Via Data Mining: Performance Analysis of Seven Different Algorithms
Predicting breast cancer survivability : a comparison of three data mining methods
A Novel Approach for Classification on Breast Cancer Data Set
Breast Cancer Diagnosis and prognosis via linear programming
Comparison of Different Classification Techniques Using WEKA for Breast Cancer
Neural Pattern Recognition Model for Breast Cancer Diagnosis
WCBA: Weighted classification based on association rules algorithm for breast cancer disease
Diagnosis of Lung Cancer Prediction System Using Data Mining Classification Techniques
A SURVEY OF MACHINE LEARNING TECHNIQUES APPLIED FOR BREAST CANCER PREDICTION
Breast Cancer Diagnosis by using k-Nearest Neighbor with Different Distances and Classification Rules
a study on prediction of breast cancer recurrence using data mining techniques .
Comparison of Feature Extraction Methods for Breast Cancer Detection
Diagnosis of Breast Tumor Using SVM-KNN Classifier
Performance analysis of various classifiers on deep learning network for breast cancer detection
The effect of mammogram databases on algorithm performance
Classifying breast cancer types based on fine needle aspiration biopsy data using random forest classifier
An expert system for detection of breast cancer based on association rules and neural network
ENSEMBLE DECISION TREE CLASSIFIER FOR BREAST CANCER DATA
Breast cancer diagnosis using Artificial Neural Network models
A genetic algorithm-based multi-objective optimization of an artificial neural network classifier for breast cancer diagnosis
decision tree analysis on j 48 and random forest algorithm for data mining using breast cancer microarray dataset .
Unilateral amnesic stroke. Six new cases and a review of the literature
Neural Networks A Comprehensive Foundation
Operational Space Control of Constrained and Underactuated Systems
How Hard is a Commercial Puzzle: the Eternity II Challenge
Advanced planning and scheduling (APS) and enterprise planning system (ERP) planning reference models for Personal Computer assembly industry: A process perspective