By Tharam S. Dillon, Elizabeth Chang, Farookh Hussain (auth.), Qing Li, Guoren Wang, Ling Feng (eds.)
This booklet constitutes the refereed complaints of the fifth foreign convention on Web-Age details administration, WAIM 2004, held in Dalian, China in July 2004.
The fifty seven revised complete papers and 23 revised brief and commercial papers offered including three invited contributions have been rigorously reviewed and chosen from 291 submissions. The papers are geared up in topical sections on facts circulation processing, time sequence info processing, safety, cellular computing, cache administration, question evaluate, net se's, XML, net prone, type, and knowledge mining.
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Additional info for Advances in Web-Age Information Management: 5th International Conference, WAIM 2004, Dalian, China, July 15-17, 2004
Therefore, we can adjust the window-width cyclically with time slice, in order to shorten the window-width of w just after yielding the querying-result and increase the window-width of w up to min-valid-width just before yielding the querying-result. Thus, we can free part of vacant memory of w just after q yielding the querying-result, so that other sliding windows can use this amount of vacant memory. In this way, all continuous queries can be as possibly as C-rank-supported with the limited available-memory.
The first part is to examine the performance of algorithms. The second part is to study the error of continuous queries influenced by the adjustment mechanism. The third part is to examine the availability of the memory influenced by the adjustment mechanism. All parts of the experiment will show that our work is significant to the data stream system. As the experiment for the performance of A-rank-adjusting algorithm and B-rankadjusting algorithm is simple, we omit it. So, we mainly examine the performance of C-rank-adjusting algorithm and study the difference of performance between ODDB algorithm and ADB algorithm in the environment of data steam system with the variable number of sliding windows.
Quantiles of a sequence Figure 1 is an example for quantiles on a data stream of 8 items. As the diﬀerence between φN and φN is smaller than 1, without loss of generality, we use φN as the requested quantile point instead of φN in the paper. Deﬁnition 2 gives the quantitative approximation measurement. Definition 2 ( -Approximate Quantile). An -approximate answer for a quantile query Q(φ) is a data item of which the rank r satisfies |r − φN | ≤ N . Where N is the number of data elements in the sequence.
Advances in Web-Age Information Management: 5th International Conference, WAIM 2004, Dalian, China, July 15-17, 2004 by Tharam S. Dillon, Elizabeth Chang, Farookh Hussain (auth.), Qing Li, Guoren Wang, Ling Feng (eds.)