The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
This paper discusses several data mining algorithms and techniques that we have developed at the University of Arizona Artificial Intelligence Lab. We have implemented these algori...
Andrea Houston, Hsinchun Chen, Susan Molloy Hubbar...
This paper analyzes the data integrity of one of the most widely used lossless data compression techniques, Lempel-Ziv (LZ) compression. In this algorithm, because the data recons...
A lack of power and extensibility in their query languages has seriously limited the generality of DBMSs and hampered their ability to support data mining applications. Thus, ther...
Modern integrated circuits (ICs) are becoming increasingly complex. The complexity makes it difficult to design, manufacture and integrate these high-performance ICs. The advent o...