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We present a process for the exploration and analysis of large databases of events. A typical database is characterized by the sequential actions of a number of individual entities. These entities can be compared by their similarities in sequence and changes in sequence over time. The correlation of two sequences can provide important clues as to the possibility of a connection between the responsible ... read moreentities, but an analyst might not be able to specify the type of connection sought prior to examination. Our process incorporates extensive automated calculation and data mining but permits diversity of analysis by providing visualization of results at multiple levels, taking advantage of human intuition and visual processing to generate avenues of inquiry. © 2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.read less
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