基于ExCC算法的流数据挖掘研究

Research on Stream Data Mining Based on ExCC Algorithm

随着现代科学技术的快速发展,出现了诸如无线通信网络的数据、传感器网络的数据、证券交易的数据等的新型数据,即流数据.流数据呈现的特点不同于传统的数据集,其所表现的是数据规模宏大、时序性、数据快速变化等.传统的聚类分析算法对于流数据挖掘已不再具有可行性,因此,本文就ExCC算法对于流数据挖掘的相关问题进行了深入研究.

With the rapid development of modern network information technology and science technology,a kind of new data,such as wireless communication network,sensor network,financial stock transaction and so on daily application,has appeared.The characteristics of streaming data presentation are different from traditional data sets,which show the large-scale data,timing,rapid data changes.The traditional clustering algorithm is no longer feasible for streaming data mining,so this paper deeply studies the related problems of stream data mining in ExCC algorithm.