Lung Cancer Detection via Image Processing

different classifier by using WEKA data mining tool. DasuVaman et al. [4] - In this paper, image quality and accuracy are the core factors of this research, image quality assessment as well as improvement are dependent on the enhancement stage where low pre-processing techniques is used, based on Gabor filter within Gaussian rules.

  Data, Mining, Wake, Weka data mining

Prediction of Heart Disease using Multiple Linear ...

research work uses 11 attributes simulated on WEKA tool. Data mining algorithms used to develop model for heart disease diagnosis are J48, Naïve Bayes, REPTREE, CART, and Bayes Net and shows accuracy 99.0741%, 97.222%, 99.0741%, 99.0741% and98.148% respectively .

  Data, Mining, Wake, Data mining

TÉCNICAS DE ANÁLISIS DE DATOS - UC3M

5.10. vfi en weka 223 5.11. knn en weka (ibk) 224 5.12. k* en weka 226 5.13. redes de neuronas en weka 227 5.14. regresiÓn lineal en weka 228 5.15. regresiÓn lineal ponderada localmente en weka 230 5.16. m5 en weka 231 5.17. kernel density en weka 232 5.18. k-means en weka 234 5.19. cobweb en weka 234 5.20. em en weka 235 5.21. asociaciÓn a ...

  Sili, Otda, Wake, Cnica, 193 lisis de datos, 201 cnicas de an

C4.5 Decision Tree Algorithm - University of Houston

Simplified Algorithm Let T be the set of training instances Choose an attribute that best differentiates the instances contained in T (C4.5 uses the Gain Ratio to determine) C d h l hh bCreate a tree node whose value is the chosen attribute Create child links from this node where each link represents a unique value for the chosen attribute