A general temporal association rule frequent itemsets mining algorithm

International Journal of Advancements in Computing Technology

Volumn 3, Issue 11, 2011, Pages 63-71

  Hai, Yan ^a,b   Li, Xiu li ^a  

^a NORTH CHINA UNIVERSITY OF WATER RESOURCES AND ELECTRIC POWER   (China)

^b HOHAI UNIVERSITY   (China)

Author keywords

Association rule mining; Frequent itemsets; Temporal confidence; Temporal support

Indexed keywords

APPLICATION EXAMPLES; ITEM SETS; LIFE SPAN; MINING ALGORITHMS; NEGATIVE ASSOCIATION RULES; TEMPORAL ASSOCIATION RULE; TEMPORAL CONFIDENCE; TEMPORAL CONSTRAINTS; TEMPORAL INFORMATION; TEMPORAL MODES; TEMPORAL RULES; TEMPORAL SUPPORT; TIME RANGE;

ALGORITHMS; ASSOCIATION RULES;

DATA MINING;

EID: 84555206537     PISSN: 20058039     EISSN: None     Source Type: Journal    
DOI: 10.4156/ijact.vol3.issue11.9     Document Type: Article

References (14)

1. Fuchs Erich, Gruber Thiemo, Pree Helmuth, Sick Bernhard, "Temporal data mining using shape space representations of time series", Neurocomputing, vol. 74, no. 1-3, pp. 379-393, 2010.
2. Bogorny Vania, Shekhar Shashi, "Spatial and spatio-temporal data mining", In Proceedings of 2010 IEEE 10th International Conference on Data Mining (ICDM), pp. 1217, 2010.
3. Patnaik Debprakash, Ponce Sean P, Cao Yong, Ramakrishnan Naren, "Accelerator-oriented algorithm transformation for temporal data mining", In Proceedings of NPC 2009-6th International Conference on Network and Parallel Computing, pp. 93-100, 2009.
4. Yong Chen, Rongfang Bie, Chuan Xu, "A new approach for maximal frequent sequential patterns mining over data streams", JDCTA: International Journal of Digital Content Technology and its Applications, vol. 5, no. 6, pp. 104-112, 2010.
5. Kitamoto Asanobu, "Spatio-temporal data mining for typhoon image collection", Journal of Intelligent Information Systems, vol. 19, no. 7, pp. 25-41, 2002.
6. Loglisci Corrado, Malerba Donato, "A temporal data mining approach for discovering knowledge on the changes of the patient's physiology", Lecture Notes in Computer Science, pp. 26-35, 2009.
7. Hyman Ransford, Bhattacharya Koustav, Ranganathan Nagarajan, "Redundancy Mining for Soft Error Detection in Multicore Processors", IEEE Transactions on Computers, vol. 60, no.8, pp. 1114-1125, 2010.
8. Emonet Remi, Varadarajan Jagannadan, Odobez Jean-Marc, "Extracting and locating temporal motifs in video scenes using a hierarchical non parametric Bayesian model", In Proceedings 2011 IEEE Conference on of Computer Vision and Pattern Recognition (CVPR), pp. 3233-3240, 2011.
9. Lilin Fan, Chunhong Liu, Qian Liu, "The application research of high-dimensional mixed-attribute data clustering algorithm", JDCTA: International Journal of Digital Content Technology and its Applications, vol. 4, no. 2, pp. 131-134, 2010.
10. Yun Yang, Ke Chen, "Temporal Data Clustering via Weighted Clustering Ensemble with Different Representations", IEEE Transactions on Knowledge and Data Engineering, vol. 23, no. 2, pp. 307-320, 2010.
11. Ghidouche Kahina, Kechadi Tahar, Tari A. Kamel, "Study and analysis of temporal data using Hidden Markov models", In Proceedings of 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, pp. 16-20, 2011.
12. Juan M. Ale, Gustavo H. Rossi, "An approach to discovering temporal association rules", In Proceedings of 2000 ACM Symposium on Applied Computing, pp. 294-300, 2000.
13. Schluter Tim, Conrad Stefan, "About the analysis of time series with temporal association rule mining", In Proceedings of 2011 IEEE Symposium on Computational Intelligence and Data Mining, pp. 325-332, 2011.
14. Matthews Stephen G., Gongora Mario A., Hopgood Adrian A., "Evolving temporal fuzzy itemsets from quantitative data with a multi-objective evolutionary algorithm", In Proceedings of 2011 IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS), pp. 9-16, 2011.