Finding the hottest item in data streams-Reference-Cited by-同舟云学术

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Finding the hottest item in data streams

Published:2018-03 Issue: Volume:430-431 Page:314-330
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Lin Huaizhong,Wu Shanshan,Hou U Leong,Kou Ngai Meng,Gao Yunjun,Lu Dongming

Funder

NSFC

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference27 articles.

1. Frequent Itemset Mining Dataset Repository, University of Helsinki, 2008. http://fimi.cs.helsinki.fi/data/.

2. On historical diagnosis of sensor streams;Aggarwal,2015

3. A new geometric algorithm for the maximum density segment problem;Alam,2010

4. Using association rules for product assortment decisions: a case study;Brijs,1999

5. Mining frequent itemsets in a stream;Calders,2007

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Speeding up pattern matching in streaming time-series via block vector and multilevel lower bound;Neural Computing and Applications;2023-12-02

2. Real-Time Topic Detection with Dynamic Windows;The Computer Journal;2019-06-04

3. Narrow big data in a stream: Computational limitations and regression;Information Sciences;2019-06

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