Advances in Data Mining: Applications in E-Commerce, Medicine, and Knowledge Management: Lecture Notes in Computer Science, cartea 2394
Editat de Petra Perneren Limba Engleză Paperback – 21 aug 2002
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Specificații
ISBN-13: 9783540441168
ISBN-10: 3540441166
Pagini: 112
Ilustrații: VIII, 112 p.
Dimensiuni: 155 x 233 x 7 mm
Greutate: 0.19 kg
Ediția:2002
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540441166
Pagini: 112
Ilustrații: VIII, 112 p.
Dimensiuni: 155 x 233 x 7 mm
Greutate: 0.19 kg
Ediția:2002
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Data Mining and E-commerce.- Sequence Rules for Web Clickstream Analysis.- Data Mining of Association Rules and the Process of Knowledge Discovery in Databases.- Intelligent E-marketing with Web Mining, Personalization, and User-Adpated Interfaces.- Knowledge Management and Data Mining.- The indiGo Project: Enhancement of Experience Management and Process Learning with Moderated Discourses.- Medical Applications.- Genomic Data Explosion — The Challenge for Bioinformatics?.- Case-Based Reasoning for Prognosis of Threatening Influenza Waves.
Textul de pe ultima copertă
This book constitutes the refereed proceedings of the 15th Industrial Conference on Advances in Data Mining, ICDM 2015, held in Hamburg, Germany, in July 2015.
The 16 revised full papers presented were carefully reviewed and selected from numerous submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine and agriculture, and in process control, industry and society.
The 16 revised full papers presented were carefully reviewed and selected from numerous submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine and agriculture, and in process control, industry and society.