Name
Abstract | ||
|---|---|---|
A rule in a Deterministic Information System (DIS) is often defined by an implication tau such that both support(tau) >= alpha and accuracy(tau) >= beta hold for the threshold values alpha and beta. In the previous work, we focused on the information incompleteness in DISs, and investigated rule generation in Non-deterministic Information Systems (NISs). We also proposed NIS-Apriori algorithm for this rule generation. In this paper, we consider DISs with missing values, which may be known as Incomplete Information Systems (I ISs). A rule in a DIS is extended to either a rule in the lower system or a rule in the upper system in each DIS with missing values. NIS-Apriori algorithm is applied to generating such rules. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-17622-7_14 | Communications in Computer and Information Science |
Keywords | Field | DocType |
Rough sets,Incomplete information,Missing values,Rule generation,Apriori algorithm | Incomplete information system,Information system,Data mining,Apriori algorithm,Algorithm,Rough set,Missing data,Complete information,Mathematics | Conference |
Volume | ISSN | Citations |
118 | 1865-0929 | 1 |
PageRank | References | Authors |
0.35 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hiroshi Sakai | 1 | 171 | 13.84 |
| Michinori Nakata | 2 | 292 | 37.49 |
| Dominik Ślęzak | 3 | 553 | 50.04 |