时间：2014年11月26日9:00

地点：博学楼601室

内容预告：

论文名称：Beyond one billion time series:indexing and mining very large time series collections with iSAX2+

报告人：吴彦

内容摘要：

    iSAX 2.0 and its improvements, iSAX 2.0 Clustered and iSAX2+；

                a novel bulk loading mechanism；

                experiments to index one billion time series；

                experiments in mining massive data from domains

论文名称：Indexing for Interactive Exploration of Big Data Series

报告人：邱能俊

内容摘要：

    present the first adaptive indexing mechanism, specifically tailored to solve the problem of indexing and querying very large data series collections； build parts of the index, only for the parts of the data on which the users pose queries；present a detailed design and evaluation of adaptive data series indexing over both synthetic data and real-world workloads