| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10322963 | Expert Systems with Applications | 2011 | 8 Pages |
Abstract
⺠In this paper, we propose an incremental mining algorithm for maintaining sequential patterns based on the concept of pre-large sequences to reduce the need for rescanning original databases. ⺠The proposed algorithm does not require rescanning original databases until the accumulative amount of newly added customer sequences exceeds a safety bound, which depends on database size. ⺠The proposed approach becomes increasingly efficient as databases grow.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Tzung-Pei Hong, Ching-Yao Wang, Shian-Shyong Tseng,
