Publications

Abstract not provided.

An underserved niche exists for data mining tools in complex analytical environments. We propose three attributes of analytical tool development that facilitates rapid operationalization of new tools into complex, dynamic environments: accessibility, adaptability, and extendibility. Accessibility we define as the ability to load data into an analytical system quickly and seamlessly. Adaptability we define as the ability to apply a tool rapidly to new, unanticipated use cases. Extendibility we define as the ability to create new functionality “in the field” where it is being used and, if needed, harden that new functionality into a new, more permanent user interface. Distributed “big data” systems generally do not optimize for these attributes, creating an underserved niche for new analytical tools. In this paper we will define the problem, examine the three attributes, and describe the architecture of an example system called Citrus that we have built and use that is especially focused on these three attributes.

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