ENBIS-8 in Athens21 – 25 September 2008 Abstract submission: 14 March – 11 August 2008
Keynote by Emmanuel Yashchin: Monitoring Massive Data Streams24 September 2008, 10:20 – 11:10
Emmanuel Yashchin, IBM Research In today's business environment large volumes of data are collected and analyzed on a routine basis. Ability to process data automatically and extract information efficiently is considered a key competitive advantage. One of the most important problems spawned by these developments is timely detection of emerging trends in data streams that are driven by abrupt changes in time. Such changes could correspond, for example, to onset of shifts or drifts in parameters of the data model. In many situations, one has no a-priori information that would enable to predict time points or magnitudes of changes. This talk discusses methods for monitoring this type of data, with emphasis on the problems of detection of unfavorable changes, estimation of the current level of parameters and retrospective data analysis. We will also discuss a number of applications.