01531nas a2200193   4500008004100000245008300041210006900124260000900193300001400202490000700216520086100223653002801084653001601112653002901128653003301157653001901190100001101209856011701220       2012                        eng d00aA novel method of data stream classification based on incremental storage tree0 anovel method of data stream classification based on incremental   c2012  a301 - 3070 v103 aFor the characteristics of large number, fast change, high cost of random access of data stream, this paper proposes a Bayesian classification data mining algorithm based on incremental storage tree to handle the problems. Use sliding window to process data stream and divide it into several basic units, apply Principal component analysis (PCA) to compress the data from window and produce dynamic incremental storage tree, use the second power strategy to continuously update several incremental storage tree. Then use multi-classifier integration technology combines with Bayesian classification to produce Bayesian classifier. At last, adjust the weight of classifier by cyclic test, and get high classification accuracy. Detailed simulation analysis demonstrates that the presented algorithm is of high efficiency of space and time and is more stable.10aBayesian classification10aData stream10aIncremental storage tree10aPrincipal component analysis10aSliding window1 aXu, C.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84870803724&partnerID=40&md5=ee151686cdc13a9a1a785eb65f87d467