Name
Abstract | ||
|---|---|---|
Data mining techniques have been developed in many applications. However it also causes a threat to privacy. We investigate to find an appropriate balance between a need for privacy and information discovery on association patterns. We propose an innovative technique for hiding sensitive patterns. In our approach, a sanitization matrix is defined. By multiplying the original transaction database and the sanitization matrix, a new database, which is sanitized for privacy concern, is described. Moreover a set of experiments is performed to show the effectiveness of our approach. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/CMPSAC.2004.1342874 | COMPSAC |
Keywords | Field | DocType |
database management systems,data privacy,sanitization matrix,association patterns,hiding sensitive patterns,information discovery,association rules mining,new database,innovative technique,privacy,original transaction database,appropriate balance,privacy concern,data mining,data mining technique,association pattern,transaction database,sensitive pattern,association rule mining | Data stream mining,Web mining,Computer science,Association rule learning,Information privacy,Database transaction,Database,Privacy software,Information discovery | Conference |
ISSN | ISBN | Citations |
0730-3157 | 0-7695-2209-2 | 18 |
PageRank | References | Authors |
0.80 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guanling Lee | 1 | 362 | 24.04 |
| Chien-Yu Chang | 2 | 21 | 1.20 |
| Arbee L. P. Chen | 3 | 94 | 13.58 |