Paper Info
Title
Incremental stock time series data delivery and visualization
Abstract
SB-Tree is a binary tree data structure proposed to represent time series according to the importance of data points. Its use in stock data management is distinguished by preserving the critical data points' attribute values, retrieving time series data according to the importance of data points and facilitating multi-resolution time series retrieval. As new stock data are available continuously, an effective updating mechanism for SB-Tree is needed. In this paper, a study of different updating approaches is reported. Three families of updating methods are proposed. They are periodic rebuild, batch update and point-by-point update. Their efficiency, effectiveness and characteristics are compared and reported.
Year
DOI
Venue
2005
10.1145/1099554.1099626
CIKM
Keywords
Field
DocType
time series,multi-resolution time series retrieval,point-by-point update,batch update,critical data point,incremental stock time series,data delivery,retrieving time series data,data point,new stock data,binary tree data structure,stock data management,data management,data structure,time series data,binary tree
Data point,Time series,Data mining,Data structure,Time series representation,Information retrieval,Visualization,Computer science,Binary tree,Periodic graph (geometry),Data management
Conference
ISBN
Citations 
PageRank 
1-59593-140-6
6
0.51
References 
Authors
7
5
Name
Order
Citations
PageRank
Tak-chung Fu140721.29
Fu-lai Chung224434.50
Pui-ying Tang360.51
Robert Luk4975.88
Chak-man Ng51169.33