George H. John

9 papers and 6.4k indexed citations i.

George H. John has authored 9 papers that have received a total of 6.4k indexed citations. This includes 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Management Science and Operations Research. The topics of these papers are Data Mining Algorithms and Applications (3 papers), Imbalanced Data Classification Techniques (2 papers) and Machine Learning and Data Classification (2 papers). George H. John is often cited by papers focused on Data Mining Algorithms and Applications (3 papers), Imbalanced Data Classification Techniques (2 papers) and Machine Learning and Data Classification (2 papers) and collaborates with scholars based in United States. George H. John's co-authors include Pat Langley, Randy Kerber, Xiao Feng, Ron Kohavi and Kevin Johnson and has published in prestigious journals such as Artificial Intelligence