Name
Abstract | ||
|---|---|---|
We present the Temporal Investigation Method for Enregistered Record Sequences II (TIMERS II), which can be used to classify the relationship between a decision attribute and a number of condition attributes as instantaneous, causal, or acausal. In this paper we consider it possible to refer to both previous and next values of attributes in temporal rules, and thus enhance the definition of acausality. We also present a new algorithm for distinguishing between causality and acausality. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11430919_86 | PAKDD |
Keywords | Field | DocType |
temporal rule,decision attribute,next value,temporal investigation method,condition attribute,new algorithm,timers ii,enregistered record sequences ii,timers ii algorithm,indexation,decision rule,spatial data | Data mining,Causality,Computer science,Algorithm,Knowledge extraction,Artificial intelligence | Conference |
Volume | ISSN | ISBN |
3518 | 0302-9743 | 3-540-26076-5 |
Citations | PageRank | References |
13 | 0.86 | 3 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Howard J. Hamilton | 1 | 1501 | 145.55 |
| Kamran Karimi | 2 | 118 | 17.23 |