期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2014
卷号：2
期号：11
出版社：S&S Publications
摘要：Time Series data is a time oriented data, where each data item refers to a specific point measuredtypically at successive instances in time space. Streaming data is real time, potentially massive, rapid sequence ofdata information arriving continuously in ordered sequence of items. Various researches have been carried out thatfocused on representations which are processed in batch mode and visualize each value with almost equaldependability. In many domains recent information is more useful than older information. We call such incomingdata as amnesic as it consists of greater value for data analysis. The dissertation proposed a novel system to monitorstreaming amnesic time series data, handle data streams by using sliding window and memory management methods,summarizing the amnesic data with the help of weighted moving average algorithm. Final phase includes visualizingamnesic and summarized data streams in the form of dynamic line chart visualization and generating the reports ofsummarized data as snapshots, which eventually facilitates analysts to recognize various patterns underlyingstreaming time series data.
关键词：Data Streams; Summarization; Amnesic; Time Series Data; Visualization
