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Mining complex dynamic data

Mining complex dynamic data

This video was recorded at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Athens 2011. In recent years, many applications require mining from richer data types than conventional data(base) records: the analysis of social networks requires the combination of activity recordings with content (e.g. resource descriptions and user records); recommendation engines require considering user ratings, customer transactions, item descriptions and user profiles; medical applications require the combination of different kinds of recordings on patients, including historical data on ailments and medication. At the same time, the mining tasks become more elaborate: the data are multi-faceted and adhere to many, orthogonal or overlapping... Show More
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