Mining Changes in Temporal Patterns in Latest Time Window for Knowledge Discovery
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[1] Guojun Mao,et al. Mining Temporal Association Rules in Network Traffic Data , 2014 .
[2] Won Suk Lee,et al. A Sliding Window Method for Finding Recently Frequent Itemsets over Online Data Streams , 2004, J. Inf. Sci. Eng..
[3] Gustavo Rossi,et al. An approach to discovering temporal association rules , 2000, SAC '00.
[4] Lajos Rónyai,et al. Trie: An alternative data structure for data mining algorithms , 2003 .
[5] Ming-Syan Chen,et al. Mining general temporal association rules for items with different exhibition periods , 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..
[6] Tzung-Pei Hong,et al. The Pre-FUFP algorithm for incremental mining , 2009, Expert Syst. Appl..
[7] Tzung-Pei Hong,et al. A new incremental data mining algorithm using pre-large itemsets , 2001, Intell. Data Anal..
[8] Keun Ho Ryu,et al. IMTAR: Incremental Mining of General Temporal Association Rules , 2010, J. Inf. Process. Syst..
[9] Hui Ning,et al. Temporal Association Rules in Mining Method , 2006, First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06).
[10] Yao Li,et al. TDUP: an approach to incremental mining of frequent itemsets with three-way-decision pattern updating , 2015, International Journal of Machine Learning and Cybernetics.
[11] Ming-Syan Chen,et al. Sliding-window filtering: an efficient algorithm for incremental mining , 2001, CIKM '01.
[12] Don-Lin Yang,et al. Association Rule Mining Considering Local Frequent Patterns with Temporal Intervals , 2014 .
[13] Don-Lin Yang,et al. ADMiner: An Incremental Data Mining Approach Using a Compressed FP-tree , 2013, J. Softw..
[14] Jiawei Han,et al. Maintenance of discovered association rules in large databases: an incremental updating technique , 1996, Proceedings of the Twelfth International Conference on Data Engineering.
[15] Kaixiang Peng,et al. Mining temporal association rules with frequent itemsets tree , 2018, Appl. Soft Comput..
[16] Chin-Chen Chang,et al. An efficient algorithm for incremental mining of association rules , 2005, 15th International Workshop on Research Issues in Data Engineering: Stream Data Mining and Applications (RIDE-SDMA'05).
[17] Ming-Syan Chen,et al. Progressive Partition Miner: An Efficient Algorithm for Mining General Temporal Association Rules , 2003, IEEE Trans. Knowl. Data Eng..
[18] Stefan Conrad,et al. Mining Several Kinds of Temporal Association Rules Enhanced by Tree Structures , 2010, 2010 Second International Conference on Information, Process, and Knowledge Management.
[19] Yan Hai,et al. A General Temporal Association Rule Frequent Itemsets Mining Algorithm , 2011 .
[20] Pingping Yu,et al. ARTAR: Temporal association rule mining algorithm based on attribute reduction , 2016, 2016 First IEEE International Conference on Computer Communication and the Internet (ICCCI).
[21] Ajith Abraham,et al. An efficient algorithm for incremental mining of temporal association rules , 2010, Data Knowl. Eng..
[22] Sushil Jajodia,et al. Discovering calendar-based temporal association rules , 2003 .
[23] Jie Chen,et al. Mining Unexpected Temporal Associations: Applications in Detecting Adverse Drug Reactions , 2008, IEEE Transactions on Information Technology in Biomedicine.
[24] Tzung-Pei Hong,et al. Improving Efficiency of Incremental Mining by Trie Structure and Pre-Large Itemsets , 2015, Comput. Informatics.