EAN: 9783319728889

SPRINGERBRIEFS IN COMPUTER SCIENCE REDESCRIPT...

This book provides a gentle introduction to redescription mining  a versatile data mining tool
that is useful to find distinct common characterizations of the same objects and  vice versa 
to identify sets of objects that admit multiple shared descriptions. It is intended for readers
who are familiar with basic data analysis techniques such as clustering  frequent itemset
mining  and classification. Redescription mining is defined in a general way  making it
applicable to different types of data. The general framework is made more concrete through many
practical examples that show the versatility of redescription mining. The book also introduces
the main algorithmic ideas for mining redescriptions  together with applications from various
domains. The final part of the book contains variations and extensions of the basic
redescription mining problem  and discusses some future directions and open questions.

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