ABSTRACT
Rapid growth of data acquisition systems, such as motion trackers, eye trackers, and brain imaging tools, has enabled the collection of large volumes of data on human behavior, performance, and psychophysical measures. In fact, the sheer volume of data has far exceeded humans’ abilities to capture and analyze it without using powerful tools. Th erefore, unless advanced knowledge discovery techniques are developed, researchers risk losing much valuable information from the data they have collected and stored. Data mining (DM) has become an active area of research and development in recent years. Th e emergence of DM as a new technology is due to the fast development and wide applications of database technologies. Many organizations already have the capability of collecting and managing massive quantities of data. DM techniques can take this evolutionary process beyond retrospective data access and management to prospective and proactive information delivery.
