U.S.-Germany Cooperative Research: Development of a General Purpose Data Mining Software Package Based on Multi-Valued, Multi-Level Logic Synthesis Methods

9910975 Perkowski该奖项支持Marek Perkowski和一名来自波特兰州立大学的研究生与德国弗赖贝格技术大学信息科学系的Bernd施泰因巴赫合作。 合作将侧重于分解，作为简化数据描述的一种方式。 机器学习是检查分类数据案例的过程，以便构建可以正确分类未来数据的分类器。 这里开发的新方法将利用德国集团在创建和实施分解程序方面的专业知识以及美国集团在创建机器学习程序方面的经验。 结合这两种方法将创建一个独特的多应用程序分解器，将能够解决尚未解决的问题。

9910975PerkowskiThis award supports Marek Perkowski and a graduate student from Portland State University in a collaboration with Bernd Steinbach of the Department of Information Sciences at the Technical University of Freiberg, Germany. The collaboration will focus on decomposition as a way of simplification of the description of data. Machine learning is the process of examining classified data cases in order to build a classifier that can correctly classify future data. The new method to be developed here will make use of the German group's expertise in creating and implementing decomposition programs and the U.S. group's experience in creating machine learning programs. Combining the two methodologies will create a unique multi-application decomposer that will be able to solve problems that are not yet solvable.