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Supporting data mining of large databases by visual feedback queries

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3 Author(s)
D. A. Keim ; Inst. for Comput. Sci., Munchen Univ., Germany ; H. Kriegel ; T. Seidl

Describes a query system that provides visual relevance feedback in querying large databases. The goal is to support the process of data mining by representing as many data items as possible on the display. By arranging and coloring the data items as pixels according to their relevance for the query, the user gets a visual impression of the resulting data set. Using an interactive query interface, the user may change the query dynamically and receives immediate feedback by the visual representation of the resulting data set. Furthermore, by using multiple windows for different parts of a complex query, the user gets visual feedback for each part of the query and, therefore, may easier understand the overall result. The system allows one to represent the largest amount of data that can be visualized on current display technology, provides valuable feedback in querying the database, and allows the user to find results which would otherwise remain hidden in the database

Published in:

Data Engineering, 1994. Proceedings.10th International Conference

Date of Conference:

14-18 Feb 1994