Supervised learning on sequence data, also known as sequence classification, has been well recognized as an important data mining task with many significant applications. Since te...
Zhengzheng Xing, Jian Pei, Guozhu Dong, Philip S. ...
BAYDA is a software package for flexible data analysis in predictive data mining tasks. The mathematical model underlying the program is based on a simple Bayesian network, the Na...
While many clever techniques have been proposed for visual analysis, most of these are “one of” and it is not easy to see how to combine multiple techniques. We propose an alg...
Anna A. Shaverdian, Hao Zhou, George Michailidis, ...
This paper presents a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian mixture density e...
Mining operations have traditionally used specialised software packages to process and visualise valuable mining data. The downside to this approach is that the information can on...