TY  - BOOK
AU  - Galbrun,Esther
AU  - Miettinen,Pauli
ED  - SpringerLink (Online service)
TI  - Redescription Mining
T2  - SpringerBriefs in Computer Science,
SN  - 9783319728896
AV  - QA76.9.D343 
U1  - 006.312 23
PY  - 2017///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Data mining
KW  - Data Mining and Knowledge Discovery
N1  - Available to subscribing member institutions only. Доступно лише організаціям членам підписки
N2  - 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. 
UR  - https://doi.org/10.1007/978-3-319-72889-6
ER  -