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\iteman{io-port 05490012}
\itemau{Li, Haifeng; Chen, Hong}
\itemti{Moment+: Mining closed frequent itemsets over data stream.}
\itemso{Tang, Changjie (ed.) et al., Advanced data mining and applications. 4th international conference, ADMA 2008, Chengdu, China, October 8--10, 2008. Proceedings. Berlin: Springer (ISBN 978-3-540-88191-9/pbk). Lecture Notes in Computer Science 5139. Lecture Notes in Artificial Intelligence, 612-619 (2008).}
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Summary: Closed frequent itemsets (CFI) mining uses less memory to store the entire information of frequent itemsets thus is much suitable for mining stream. In this paper, we discuss recent CFI mining methods over stream and presents an improved algorithm Moment+ based on the existent one Moment. Moment+ focuses on the problem of mining CFI over data stream sliding window and proposes a new structure Extended Closed Enumeration Tree (ECET) to store the CFIs and nodes' BPN which is introduced to reduce the search space, with which new mining method is designed to mine more rapidly with little memory cost sacrifice. The experimental results show that this method is effective and efficient.
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\itemli{doi:10.1007/978-3-540-88192-6\_63}
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