Name
Abstract | ||
|---|---|---|
We demonstrate our SPIRE technology for supporting interactive mining of both positive and negative rules at the speed of thought. It is often misleading to learn only about positive rules, yet extremely revealing to find strongly supported negative rules. Key technical contributions of SPIRE including region-wise abstractions of rules, positive-negative rule relationship analysis, rule redundancy management and rule visualization supporting novel exploratory queries will be showcased. The audience can interactively explore complex rule relationships in a visual manner, such as comparing negative rules with their positive counterparts, that would otherwise take prohibitive time. Overall, our SPIRE system provides data analysts with rich insights into rules and rule relationships while significantly reducing manual effort and time investment required. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.14778/2733004.2733053 | PVLDB |
Field | DocType | Volume |
Relationship analysis,Data mining,Abstraction,Computer science,Visualization,Spire,Redundancy (engineering),Rule mining | Journal | 7 |
Issue | ISSN | Citations |
13 | 2150-8097 | 2 |
PageRank | References | Authors |
0.36 | 11 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xika Lin | 1 | 23 | 3.51 |
| Abhishek Mukherji | 2 | 79 | 6.27 |
| Elke A. Rundensteiner | 3 | 4076 | 700.65 |
| Matthew O. Ward | 4 | 1757 | 189.48 |