TY - GEN
T1 - An FUSP-tree maintenance algorithm for record modification
AU - Lin, Chun Wei
AU - Hong, Tzung Pei
AU - Lu, Wen Hsiang
AU - Chen, Hsin Yi
PY - 2008/12/1
Y1 - 2008/12/1
N2 - There are several algorithms proposed for maintaining the sequential patterns as records are inserted. In addition to record insertion, the pattern maintenance for record modification is also very important in the real-applications. In the past, we have proposed the fast updated sequential pattern tree (called FUSP tree) structure for handling record insertion. In this paper, we attempt to handle the maintenance of sequential patterns for record modification. We do the task by maintaining the FUSP tree and then generate the patterns whenever necessary. An FUSP-tree maintenance algorithm for record modification is thus proposed for reducing the execution time in reconstructing the tree. The proposed approach is expected to achieve a good trade-off between execution time and tree complexity.
AB - There are several algorithms proposed for maintaining the sequential patterns as records are inserted. In addition to record insertion, the pattern maintenance for record modification is also very important in the real-applications. In the past, we have proposed the fast updated sequential pattern tree (called FUSP tree) structure for handling record insertion. In this paper, we attempt to handle the maintenance of sequential patterns for record modification. We do the task by maintaining the FUSP tree and then generate the patterns whenever necessary. An FUSP-tree maintenance algorithm for record modification is thus proposed for reducing the execution time in reconstructing the tree. The proposed approach is expected to achieve a good trade-off between execution time and tree complexity.
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U2 - 10.1109/ICDMW.2008.81
DO - 10.1109/ICDMW.2008.81
M3 - Conference contribution
AN - SCOPUS:62449312294
SN - 9780769535036
T3 - Proceedings - IEEE International Conference on Data Mining Workshops, ICDM Workshops 2008
SP - 649
EP - 653
BT - Proceedings - IEEE International Conference on Data Mining Workshops, ICDM Workshops 2008
T2 - IEEE International Conference on Data Mining Workshops, ICDM Workshops 2008
Y2 - 15 December 2008 through 19 December 2008
ER -