Recent advances in mining patterns from complex data
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Nowadays data mining and knowledge discovery are advanced research fields with numerous algorithms and studies to extract patterns and models from complex data sources like blogs, event or log data, biological data, spatio-temporal data, social networks, mobility data, sensor data and streams, and so on. Contrary to classical data mining approaches, which look for patterns in tabular data, numerous recent studies focus on data with a complex structure spanning from structured to multimedia and spatial or spatio-temporal data. As such, they put particular emphasis on storing, managing and mining complex interactions among entities in distributed and heterogeneous environments. In terms of scientific research, mining patterns from complex data has been focusing on developing specialized techniques and algorithms, which preserve the informative richness of data and allow us to efficiently and efficaciously identify complex information units present in such data.
We believe that a special...
KeywordsData mining Complex data Complex pattern discovery
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