Abstract | ||
---|---|---|
As large amount of Web data in the network and up to date, how to dig out the useful parts from the massive data, as the traditional mining methods can only dig out the data from the out dated and old parts, in this way, it can not make a rational predict of the future result. On the basis of this, the paper proposes a concept of a dynamic data mining and through a sliding window for data collection, the excavation of dynamic processing algorithms, thus arrives at a dynamic mining algorithm DDMA. |
Year | DOI | Venue |
---|---|---|
2011 | 10.1007/978-3-642-23324-1_77 | ADVANCES IN COMPUTER SCIENCE, ENVIRONMENT, ECOINFORMATICS, AND EDUCATION, PT II |
Keywords | Field | DocType |
Data Mining,Sliding Window,Dynamic Data Mining,Dynamic Data Processing | Data mining,Data collection,Excavation,Sliding window protocol,Computer science,Dynamic data,Data mining algorithm,E-commerce | Conference |
Volume | ISSN | Citations |
215 | 1865-0929 | 0 |
PageRank | References | Authors |
0.34 | 0 | 1 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rencai Gao | 1 | 0 | 0.68 |