Paper Title:
An Algorithm for Mining Frequent Stream Data Items Using Hash Function and Fading Factor
  Abstract

A new algorithm to mine the frequent items in data stream is presented. The algorithm adopts a time fading factor to emphasize the importance of the relatively newer data, and records the densities of the data items in Hash tables. For a given threshold of density S and an integer k, our algorithm can mine the top k frequent items. Computation time for processing each data item is O(1) . Experimental results show that the algorithm outperforms other methods in terms of accuracy, memory requirement, and processing speed.

  Info
Periodical
Edited by
Han Zhao
Pages
2661-2665
DOI
10.4028/www.scientific.net/AMM.130-134.2661
Citation
Q. L. Mei, L. Chen, "An Algorithm for Mining Frequent Stream Data Items Using Hash Function and Fading Factor", Applied Mechanics and Materials, Vols. 130-134, pp. 2661-2665, 2012
Online since
October 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Lu Na Byon, Jeong Hye Han
Abstract:As electronic commerce progresses, temporal association rules are developed by time to offer personalized services for customer’s interests....
287
Authors: Zhong Ping Zhang, Yong Xin Liang
Abstract:This paper proposes a new data stream outlier detection algorithm SODRNN based on reverse nearest neighbors. We deal with the sliding window...
1032
Authors: Zong Hui Wang, Shu Su Shi, Li Cheng Yu, Wen Zhi Chen
Chapter 16: Geographic Information and Remote Sensing Science
Abstract:FCD-based traffic navigation system is getting more and more attention from countries all over the world. Shortest path algorithm is one of...
2880
Authors: Hai Feng Li, Ning Zhang
Chapter 1: Transportation & Service Science
Abstract:Maximal frequent itemsets are one of several condensed representations of frequent itemsets, which store most of the information contained in...
21
Authors: Jun Tan
Chapter 12: Computer-Aided Design and Applications in Industry and Civil Engineering
Abstract:Online mining of frequent closed itemsets over streaming data is one of the most important issues in mining data streams. In this paper, we...
2910