On efficient and effective association rule mining from XML data
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Saved in:
Main Authors: | Zhang, J., Ling, T.W., Bruckner, R.M., Tjoa, A.M., Liu, H. |
---|---|
Other Authors: | COMPUTER SCIENCE |
Format: | Article |
Published: |
2013
|
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/39358 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
A framework for efficient association rule mining in XML data
by: Zhang, J., et al.
Published: (2013) -
Building XML data warehouse based on frequent patterns in user queries
by: Zhang, J., et al.
Published: (2013) -
Efficient processing of updates in dynamic XML data
by: Li, C., et al.
Published: (2013) -
Opportunities for XML data mining in modern applications, or XML data mining: Where is the ore?
by: Bressan, S., et al.
Published: (2013) -
Efficient updates in dynamic XML data: From binary string to quaternary string
by: Li, C., et al.
Published: (2013)