With the explosion of social media, scalability becomes a key challenge. There are two main aspects of the problems that arise: 1) data volume: how to manage and analyze huge data...
Ching-Yung Lin, Jimeng Sun, Nan Cao, Shixia Liu, S...
Abstract—Modeling parasitic parameters of Through-SiliconVia (TSV) structures is essential in exploring electrical characteristics such as delay and signal integrity (SI) of circ...
Roshan Weerasekera, Matt Grange, Dinesh Pamunuwa, ...
The goal of process mining is to discover process models from event logs. However, for processes that are not well structured and have a lot of diverse behavior, existing process m...
: Data mining is the process of posing queries and extracting patterns, often previously unknown from large quantities of data using pattern matching or other reasoning techniques....
—Real time moving target tracking and identification with hyperspectral imagery is still very challenging with conventional sensors and algorithms. The increased information cont...