Bai-En Shie

According to our database1, Bai-En Shie
  • authored at least 13 papers between 2010 and 2015.
  • has a "Dijkstra number"2 of four.

Timeline

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Bibliography

2015
Mining Sequential Patterns with Pattern Constraint.
Proceedings of the Intelligent Information and Database Systems - 7th Asian Conference, 2015

2013
Efficient Algorithms for Mining High Utility Itemsets from Transactional Databases.
IEEE Trans. Knowl. Data Eng., 2013

Efficient algorithms for discovering high utility user behavior patterns in mobile commerce environments.
Knowl. Inf. Syst., 2013

Mining interesting user behavior patterns in mobile commerce environments.
Appl. Intell., 2013

2012
Efficient algorithms for mining maximal high utility itemsets from data streams with different models.
Expert Syst. Appl., 2012

Mining top-K high utility itemsets.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

A One-Phase Method for Mining High Utility Mobile Sequential Patterns in Mobile Commerce Environments.
Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012

2011
An Intelligent and Effective Mechanism for Mental Disorder Treatment by Using Biofeedback Analysis and Web Technologies.
International Journal of Software Engineering and Knowledge Engineering, 2011

Discovering Valuable User Behavior Patterns in Mobile Commerce Environments.
Proceedings of the New Frontiers in Applied Data Mining, 2011

Mining High Utility Mobile Sequential Patterns in Mobile Commerce Environments.
Proceedings of the Database Systems for Advanced Applications, 2011

2010
Intelligent panic disorder treatment by using biofeedback analysis and web technologies.
IJBIDM, 2010

Online mining of temporal maximal utility itemsets from data streams.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

UP-Growth: an efficient algorithm for high utility itemset mining.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010


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