Scalable Learning Technologies for Big Data Mining
As data expands into big data, enhanced or entirely novel data mining algorithms often become necessary. The real value of big data is often only exposed when we can adequately mine and learn from it. We provide an overview of new scalable techniques for knowledge discovery. Our focus is on the areas of cloud data mining and machine learning, semi-supervised processing, and deep learning. We also give practical advice for choosing among different methods and discuss open research problems and concerns.
MSU Digital Commons Citation
De Melo, Gerard and Varde, Aparna, "Scalable Learning Technologies for Big Data Mining" (2015). Department of Computer Science Faculty Scholarship and Creative Works. 522.