Open Access. Powered by Scholars. Published by Universities.®
Wayne State University Dissertations
Abnormal event detection, Big data analytics, clustering, evolutionary clustering, large-scale data analysis, low-rank matrix approximation
Articles 1 - 1 of 1
Full-Text Articles in Entire DC Network
Complex Data Analytics Via Sparse, Low-Rank Matrix Approximation, Lijun Wang
Complex Data Analytics Via Sparse, Low-Rank Matrix Approximation, Lijun Wang
Wayne State University Dissertations
Today, digital data is accumulated at a faster than ever speed in science, engineering, biomedicine, and real-world sensing. Data mining provides us an effective way for the exploration and analysis of hidden patterns from these data for a broad spectrum of applications. Usually, these datasets share one prominent characteristic: tremendous in size with tens of thousands of objects and features. In addition, data is not only collected over a period of time, but the relationship between data points can change over that period too. Besides, knowledge is very sparsely encoded because the patterns are usually active only in a local …