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 Sustainable Agriculture Reviews by Esther Galbrun, Pauli Miettinen
Cover of the book Hypertension and Stroke by Esther Galbrun, Pauli Miettinen
Cover of the book Cultural Anatomies of the Heart in Aristotle, Augustine, Aquinas, Calvin, and Harvey by Esther Galbrun, Pauli Miettinen
Cover of the book Lectures on Runtime Verification by Esther Galbrun, Pauli Miettinen
Cover of the book Africa on the Contemporary London Stage by Esther Galbrun, Pauli Miettinen
Cover of the book E-Learning, E-Education, and Online Training by Esther Galbrun, Pauli Miettinen
Cover of the book Biomedical Applications Based on Natural and Artificial Computing by Esther Galbrun, Pauli Miettinen
Cover of the book Radiation Therapy for Head and Neck Cancers by Esther Galbrun, Pauli Miettinen
Cover of the book Betty A. Reardon: Key Texts in Gender and Peace by Esther Galbrun, Pauli Miettinen
Cover of the book Smart Cities, Green Technologies, and Intelligent Transport Systems by Esther Galbrun, Pauli Miettinen
Cover of the book Applied Computational Intelligence and Mathematical Methods by Esther Galbrun, Pauli Miettinen
Cover of the book Desistance from Sexual Offending by Esther Galbrun, Pauli Miettinen
Cover of the book Symmetric Cryptographic Protocols by Esther Galbrun, Pauli Miettinen
Cover of the book Green Processes for Nanotechnology by Esther Galbrun, Pauli Miettinen
Cover of the book Interrogating the Neoliberal Lifecycle 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