Buch, Englisch, Band 123, 234 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1160 g
Buch, Englisch, Band 123, 234 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1160 g
Reihe: Studies in Fuzziness and Soft Computing
ISBN: 978-3-540-00676-3
Verlag: Springer Berlin Heidelberg
Information fusion is becoming a major requirement in data mining and knowledge discovery in databases. This book presents some recent fusion techniques that are currently in use in data mining, as well as data mining applications that use information fusion. Special focus of the book is on information fusion in preprocessing, model building and information extraction with various applications.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenkompression, Dokumentaustauschformate
- Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware SAP
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Grafikprogrammierung
Weitere Infos & Material
Trends in Information fusion in Data Mining.- On some aggregation operators for numerical information.- Choquet integral and Sugeno integral in the Particle Deflection Plane.- Data Mining Using a Probabilistic Weighted Ordered Weighted Average (PWOWA) Operator.- Mining Interesting Patterns in Multiple Data Sources.- Discovery of Temporal Knowledge in Medical Time-Series Databases using Moving Average, Multiscale Matching and Rule Induction.- Record linkage methods for multidatabase data mining.- Modelling data by the Choquet integral.- An Algorithm Based on Alternative Projections for a Fuzzy Measure Identification Problem.- Combining Information Fusion with String Pattern Analysis: A New Method for Predicting Future Purchase Behavior.- Ensemble Learnig by a Fuzzy Classification Systems for Pattern Classification.- Data Mining Using Granular Linguistic Summaries.
