Frequent Itemset Mining over Data Streams-Reference-Cited by-同舟云学术

Frequent Itemset Mining over Data Streams

Published:2016 Issue: Volume: Page:209-219
ISSN:2197-9723
Container-title:Data-Centric Systems and Applications
language:
Short-container-title:

Author:

Manku Gurmeet Singh

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-28608-0_10

Reference7 articles.

1. R. Agrawal, R. Srikant, Fast algorithms for mining association rules, in Proc. of 20th Intl. Conf. on Very Large Data Bases (1994), pp. 487–499

2. A. Arasu, G.S. Manku, Approximate counts and quantiles over sliding windows, in Proc. ACM Symposium on Principles of Database Systems (2004)

3. C. Estan, G. Varghese, New directions in traffic measurement and accounting: focusing on the elephants, ignoring the mice. ACM Trans. Comput. Syst. 21(3), 270–313 (2003)

4. M. Fang, N. Shivakumar, H. Garcia-Molina, R. Motwani, J. Ullman, Computing iceberg queries efficiently, in Proc. of 24th Intl. Conf. on Very Large Data Bases (1998), pp. 299–310

5. R.M. Karp, C.H. Papadimitriou, S. Shenker, A simple algorithm for finding frequent elements in streams and bags. ACM Trans. Database Syst. 28, 51–55 (2003)

Cited by 5 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. Mining Discriminative Itemsets Over Data Streams Using Efficient Sliding Window;SN Computer Science;2023-06-27

2. A Synopsis Based Approach for Itemset Frequency Estimation over Massive Multi-Transaction Stream;ACM Transactions on Knowledge Discovery from Data;2021-07-21

3. Mining discriminative itemsets in data streams using the tilted-time window model;Knowledge and Information Systems;2021-02-15

4. TSPIN: mining top-k stable periodic patterns;Applied Intelligence;2021-02-03

5. Deep mining port scans from darknet;International Journal of Network Management;2019-02-19