Sliding-window filtering: an efficient algorithm for incremental mining
Proceedings of the tenth international conference on Information and knowledge management
Scalable Algorithms for Association Mining
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering
Considering Main Memory in Mining Association Rules
DaWaK '99 Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery
Enhancing the Apriori Algorithm for Frequent Set Counting
DaWaK '01 Proceedings of the Third International Conference on Data Warehousing and Knowledge Discovery
On the Efficiency of Association-Rule Mining Algorithms
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Association Rule Mining in Peer-to-Peer Systems
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Fast vertical mining using diffsets
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Advances in frequent itemset mining implementations: report on FIMI'03
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
MAFIA: A Maximal Frequent Itemset Algorithm
IEEE Transactions on Knowledge and Data Engineering
ACM Computing Surveys (CSUR)
A further study in the data partitioning approach for frequent itemsets mining
ADC '06 Proceedings of the 17th Australasian Database Conference - Volume 49
Horn axiomatizations for sequential data
Theoretical Computer Science
Learning quantifiable associations via principal sparse non-negative matrix factorization
Intelligent Data Analysis
Twain: Two-end association miner with precise frequent exhibition periods
ACM Transactions on Knowledge Discovery from Data (TKDD)
An efficient algorithm for mining temporal high utility itemsets from data streams
Journal of Systems and Software
Efficient algorithms for incremental Web log mining with dynamic thresholds
The VLDB Journal — The International Journal on Very Large Data Bases
A data mining proxy approach for efficient frequent itemset mining
The VLDB Journal — The International Journal on Very Large Data Bases
RETRACTED: Efficient mining of temporal emerging itemsets from data streams
Expert Systems with Applications: An International Journal
Enhancing SWF for incremental association mining by itemset maintenance
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
Progressive weighted miner: an efficient method for time-constraint mining
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
Mining quantitative associations in large database
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
Improvements in the data partitioning approach for frequent itemsets mining
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Estimation of execution time of data-intensive out-of-core processes
ACACOS'12 Proceedings of the 11th WSEAS international conference on Applied Computer and Applied Computational Science
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