"Using Bloom Filters for Mining Top-k Frequent Itemsets in Data Streams."

Younghee Kim et al. (2011)

> Home

Details and statistics

DOI: 10.1007/978-3-642-22339-6_25

access: closed

type: Conference or Workshop Paper

metadata version: 2019-04-08

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/sta/KimCYKK11
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/sta/KimCYKK11
Younghee Kim, Kyung Soo Cho, Jae Yeol Yoon, Iee Joon Kim, Ungmo Kim:
Using Bloom Filters for Mining Top-k Frequent Itemsets in Data Streams. STA 2011: 209-216

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.