Algorithms 2011, 4(3), 200-222; doi:10.3390/a4030200
Article

Approximating Frequent Items in Asynchronous Data Stream over a Sliding Window

Hing-Fung Ting 1,* email, Lap-Kei Lee 2 email, Ho-Leung Chan 1 email and Tak-Wah Lam 1 email
1 Department of Computer Science, University of Hong Kong, Pokfulam, Hong Kong, China 2 MADALGO (Center for Massive Data Algorithmics, a Center of the Danish National Research Foundation), Department of Computer Science, Aarhus University, Aarhus C DK-8000, Denmark
* Author to whom correspondence should be addressed.
Received: 23 June 2011; in revised form: 23 June 2011 / Accepted: 10 September 2011 / Published: 22 September 2011
PDF Full-text Download PDF Full-Text [405 KB, uploaded 22 September 2011 15:45 CEST]
Abstract: In an asynchronous data stream, the data items may be out of order with respect to their original timestamps. This paper studies the space complexity required by a data structure to maintain such a data stream so that it can approximate the set of frequent items over a sliding time window with sufficient accuracy. Prior to our work, the best solution is given by Cormode et al. [1], who gave an O (1/ε log W log (εB/ log W) min {log W, 1/ε} log |U|)- space data structure that can approximate the frequent items within an ε error bound, where W and B are parameters of the sliding window, and U is the set of all possible item names. We gave a more space-efficient data structure that only requires O (1/ε log W log (εB/ logW) log log W) space.
Keywords: asynchronous data streams; frequent items; sliding window; space complexity

Article Statistics

Click here to load and display the download statistics.

Cite This Article

MDPI and ACS Style

Ting, H.-F.; Lee, L.-K.; Chan, H.-L.; Lam, T.-W. Approximating Frequent Items in Asynchronous Data Stream over a Sliding Window. Algorithms 2011, 4, 200-222.

AMA Style

Ting H-F, Lee L-K, Chan H-L, Lam T-W. Approximating Frequent Items in Asynchronous Data Stream over a Sliding Window. Algorithms. 2011; 4(3):200-222.

Chicago/Turabian Style

Ting, Hing-Fung; Lee, Lap-Kei; Chan, Ho-Leung; Lam, Tak-Wah. 2011. "Approximating Frequent Items in Asynchronous Data Stream over a Sliding Window." Algorithms 4, no. 3: 200-222.

Algorithms EISSN 1999-4893 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert