Redescription Mining

Nonfiction, Computers, Database Management, General Computing
Cover of the book Redescription Mining by Esther Galbrun, Pauli Miettinen, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Esther Galbrun, Pauli Miettinen ISBN: 9783319728896
Publisher: Springer International Publishing Publication: January 10, 2018
Imprint: Springer Language: English
Author: Esther Galbrun, Pauli Miettinen
ISBN: 9783319728896
Publisher: Springer International Publishing
Publication: January 10, 2018
Imprint: Springer
Language: English

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. 

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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. 

More books from Springer International Publishing

Cover of the book Business Process Management Workshops by Esther Galbrun, Pauli Miettinen
Cover of the book Mobility, Migration and Transport by Esther Galbrun, Pauli Miettinen
Cover of the book Brief Interventions for Psychosis by Esther Galbrun, Pauli Miettinen
Cover of the book British and American Representations of 9/11 by Esther Galbrun, Pauli Miettinen
Cover of the book Scalable and Near-Optimal Design Space Exploration for Embedded Systems by Esther Galbrun, Pauli Miettinen
Cover of the book Liminality, Hybridity, and American Women's Literature by Esther Galbrun, Pauli Miettinen
Cover of the book Biodiversity and Conservation of Woody Plants by Esther Galbrun, Pauli Miettinen
Cover of the book Deep Eutectic Solvents by Esther Galbrun, Pauli Miettinen
Cover of the book Tools of Transport Telematics by Esther Galbrun, Pauli Miettinen
Cover of the book Statistical Analysis of Noise in MRI by Esther Galbrun, Pauli Miettinen
Cover of the book Statistical Analysis of Natural Disasters and Related Losses by Esther Galbrun, Pauli Miettinen
Cover of the book Dynamics and Characterization of Composite Quantum Systems by Esther Galbrun, Pauli Miettinen
Cover of the book Enterprise Information Systems by Esther Galbrun, Pauli Miettinen
Cover of the book Artificial Intelligence for Knowledge Management by Esther Galbrun, Pauli Miettinen
Cover of the book Writing the Structures of the Subject by Esther Galbrun, Pauli Miettinen
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy