Titlebook: Advances in Web-Age Information Management; 5th International Co Qing Li,Guoren Wang,Ling Feng Conference proceedings 2004 Springer-Verlag

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書目名稱Advances in Web-Age Information Management影響因子(影響力)




書目名稱Advances in Web-Age Information Management影響因子(影響力)學科排名




書目名稱Advances in Web-Age Information Management網(wǎng)絡公開度




書目名稱Advances in Web-Age Information Management網(wǎng)絡公開度學科排名




書目名稱Advances in Web-Age Information Management被引頻次




書目名稱Advances in Web-Age Information Management被引頻次學科排名




書目名稱Advances in Web-Age Information Management年度引用




書目名稱Advances in Web-Age Information Management年度引用學科排名




書目名稱Advances in Web-Age Information Management讀者反饋




書目名稱Advances in Web-Age Information Management讀者反饋學科排名

外來

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Recent Advances in Histogram Construction Algorithmsations including, approximate querying, similarity searching and data mining in most application domains, rely on such accurate approximations. A very popular way in database theory and practice to approximate a data distribution is by means of a histogram..Histograms approximate a data distribution

松果

Dynamic Adjustment of Sliding Windows over Data StreamsIn this paper, we consider the problem of adjusting the buffer size of sliding windows dynamically when the rate of streaming data changes or when queries start or end. Based on the status of available memory resource and the requirement of queries for memory, we propose the corresponding algorithms

subordinate

Space Efficient Quantile Summary for Constrained Sliding Windows on a Data Streamfined as the most recent N data items. In this paper, we study the problem of estimating quantiles over other types of sliding windows. We present a uniform framework to process quantile queries for time constrained and filter based sliding windows. Our algorithm makes one pass on the data stream an

使激動

The Dimension-Reduced Multi-scale Histogram: A New Method for Fast and Efficient Retrieval of Similaistograms. It is a faster and efficient way to pre-select time sequence in a database and leads to reduce the need of time sequence comparisons when answering similarity queries. A new metric distance function MD ( ) that consistently lower-bounds WED and also satisfies the triangular inequality is

maculated

Time Series Prediction Based on Gene Expression Programmingtion Method (GEP-SWPM) to mine the relationship between future and historical data directly. (2) GEP-Differential Equation Prediction Method (GEP-DEPM) to mine ordinary differential equations from training data, and predict future trends based on specified initial conditions. (3) A brand new equatio

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