The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Mining sequential patterns: Generalizations and performance improvements
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Citations
Cites
Mining association rules between sets of items in large databases
Agrawal, R., Imieliński, T., & Swami, A. (1993) · Proceedings of the 1993 ACM SIGMOD international conference on Management of data · doi:10.1145/170035.170072 · Cited by 14,907
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Top 10 algorithms in data mining
Wu, X., Kumar, V., Ross Quinlan, J., Ghosh, J., Yang, Q., Motoda, H., McLachlan, G. J., Ng, A., Liu, B., Yu, P. S., et al. (2008) · Knowledge and Information Systems · doi:10.1007/s10115-007-0114-2 · Cited by 5,667
Data Preparation for Mining World Wide Web Browsing Patterns
Cooley, R., Mobasher, B., & Srivastava, J. (1999) · Knowledge and Information Systems · doi:10.1007/bf03325089 · Cited by 1,455
Frequent pattern mining: current status and future directions
Han, J., Cheng, H., Xin, D., & Yan, X. (2007) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-006-0059-1 · Cited by 1,380
Web mining: information and pattern discovery on the World Wide Web
Cooley, R., Mobasher, B., & Srivastava, J. (2002) · Proceedings Ninth IEEE International Conference on Tools with Artificial Intelligence · doi:10.1109/tai.1997.632303 · Cited by 1,162
Tsai, C.-W., Lai, C.-F., Chao, H.-C., & Vasilakos, A. V. (2015) · Journal of Big Data · doi:10.1186/s40537-015-0030-3 · Cited by 818
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An Approach for Anomaly Diagnosis Based on Hybrid Graph Model with Logs for Distributed Services
Jia, T., Chen, P., Yang, L., Li, Y., Meng, F., & Xu, J. (2017) · 2017 IEEE International Conference on Web Services (ICWS) · doi:10.1109/icws.2017.12 · Cited by 78
Investigating purchasing-sequence patterns for financial services using Markov, MTD and MTDg models
Prinzie, A., & Van den Poel, D. (2006) · European Journal of Operational Research · doi:10.1016/j.ejor.2004.05.004 · Cited by 75
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Improving software developers' fluency by recommending development environment commands
Murphy-Hill, E., Jiresal, R., & Murphy, G. C. (2012) · Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering · doi:10.1145/2393596.2393645 · Cited by 67
Mining multimodal sequential patterns: a case study on affect detection
Martínez, H. P., & Yannakakis, G. N. (2011) · Proceedings of the 13th international conference on multimodal interfaces · doi:10.1145/2070481.2070485 · Cited by 42
Mining a multimodal corpus of doctor's training for virtual patient's feedbacks,
Porhet, C., Ochs, M., Saubesty, J., de Montcheuil, G., & Bertrand, R. (2017) · Proceedings of the 19th ACM International Conference on Multimodal Interaction · doi:10.1145/3136755.3136816 · Cited by 10
BUILDING USER TASK SPACE BY MINING TEMPORALLY PROXIMATE DESKTOP ACTIONS
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Metadata
- Authors
- Srikant, R., & Agrawal, R.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 1996
- Pages
- 1-17
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1641039719
- Cited by
- 2,711
- References
- 1
- FWCI
- 18.72
- Type
- conference paper
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.