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.
بدون عنوان
0
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
Information fusion is becoming a major need 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.
ویراست دیگر از اثر در قالب دیگر رسانه
شماره استاندارد بين المللي کتاب و موسيقي
9783642056284
قطعه
عنوان
Springer eBooks
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Computer simulation.
موضوع مستند نشده
Engineering mathematics.
موضوع مستند نشده
Engineering.
موضوع مستند نشده
Information systems.
موضوع مستند نشده
Mathematics.
موضوع مستند نشده
Operations research.
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )