An Effective Visual Data Mining Environment
Summary: A user-centered visual environment unifies the end-to-end KDD workflow through layered, composable data-mining components. Visual planning, query construction, and interactive result exploration span metaqueries, association rules, and clustering, with XML mappings to engine operators. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Stephen Kimani (Sapienza University)
BibTeX Citation
@article{kimani_vldb02,
title = {{An Effective Visual Data Mining Environment}},
author = {Kimani, Stephen},
journal = {PVLDB},
series = {{VLDB} '02},
year = {2002}
}
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