Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Reference38 articles.
1. Aggarwal, C., & Han, J. (2014). Frequent pattern mining. Springer International Publishing.
2. Agrawal, R., & Srikant, R. (1994). Fast algorithms for mining association rules in large databases. In Proceedings of the 20th international conference on very large data bases VLDB ’94 (pp. 487–499). San Francisco.
3. Babcock, B., Babu, S., Datar, M., Motwani, R., & Widom, J. (2002). Models and issues in Data Stream systems. In Proceedings of the 21th ACM SIGMOD-SIGACT-SIGART symposium on principles of database systems, PODS ’02 (pp. 1–16). New York: ACM.
4. Bai-En, S., Philip, S., & Vincent, S. (2012). Efficient algorithms for mining maximal high utility itemsets from Data Streams with different models. Expert Systems with Applications, 39(17), 12,947–12,960.
5. Baker, Z., & Prasanna, V. (2005). Efficient hardware Data Mining with the Apriori algorithm on FPGAs. In Proceedings of the 13th annual IEEE symposium on field-programmable custom computing machines, FCCM ’05 (pp. 3–12). Washington: IEEE Computer Society.
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