Data Mining in Market Research
Decision tree
[email protected] weikum/ Gerhard Weikum DB & IR: Both Sides Now in collaboration with Georgiana Ifrim, Gjergji Kasneci,
Mining Hierarchical Decision Rules from Hybrid Data with Categorical and Continuous Valued Attributes Miao Duoqian, Qian Jin, Li Wen, Zhang Zehua.
TDIDT Learning. Decision Tree Internal nodes tests on some property Branches from internal nodes values of the associated property Leaf nodes classifications.
The Artificial Life of Plants Przemyslaw Prusinkiewicz, Mark Hammel, Radom´ır Mˇech Department of Computer Science University of Calgary Calgary, Alberta,
CSE11 Book
Neil Chue Hong Project Manager, EPCC [email protected] +44 131 650 5957 OGSA-DAI Requirements Gathering Exercise 2 nd DIALOGUE workshop eSI, 9-10.
CIS671-Knowledge Discovery and Data Mining Vasileios Megalooikonomou Dept. of Computer and Information Sciences Temple University AI reminders (based on.
John Porter Sheng Shan Lu M. Gastil Gastil-Buhl With special thanks to Chau-Chin Lin and Chi-Wen Hsaio.
CIS671-Knowledge Discovery and Data Mining
Temple University – CIS Dept. CIS664– Knowledge Discovery and Data Mining
