Computational Intelligence in Data Mining

Giacomo Della Riccia, Rudolf Kruse, Hans-J. Lenz (Herausgeber)

Buch | Softcover

VII, 166 Seiten

2000 | 2000
Springer Wien (Verlag)
978-3-211-83326-1 (ISBN)

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The book aims to merge Computational Intelligence with Data Mining, which are both hot topics of current research and industrial development, Computational Intelligence, incorporates techniques like data fusion, uncertain reasoning, heuristic search, learning, and soft computing. Data Mining focuses on unscrambling unknown patterns or structures in very large data sets. Under the headline "Discovering Structures in Large Databases" the book starts with a unified view on 'Data Mining and Statistics - A System Point of View'. Two special techniques follow: 'Subgroup Mining', and 'Data Mining with Possibilistic Graphical Models'. "Data Fusion and Possibilistic or Fuzzy Data Analysis" is the next area of interest. An overview of possibilistic logic, nonmonotonic reasoning and data fusion is given, the coherence problem between data and non-linear fuzzy models is tackled, and outlier detection based on learning of fuzzy models is studied. In the domain of "Classification and Decomposition" adaptive clustering and visualisation of high dimensional data sets is introduced. Finally, in the section "Learning and Data Fusion" learning of special multi-agents of virtual soccer is considered. The last topic is on data fusion based on stochastic models.

Prof. Dr. Rudolf Kruse ist Leiter des Lehrstuhls für Neuro-Fuzzy-Systeme an der Universität Magdeburg.

Data Mining and Statistics: a Systems Point of View (A. Siebes).- Subgroup Mining (W. Klösgen).- Possibilistic Graphical Models (C. Borgelt, J. Gebhardt, R. Kruse).- An Overview of Possibilistic Logic and its Application to Nonmonotonic Reasoning and Data Fusion (S. Benferhat, D. Dubois, H. Prade).- On the Solution of Fuzzy Equation Systems (H.-J. Lenz, R. Müller).- Learning Fuzzy Models and Potential Outliers (M. R. Berthold).- An Algorithm for Adaptive Clustering and Visualisation of Highdimensional Data Sets (F. Schwenker, H. A. Kestler, G. Palm).- Learning in Computer Soccer (H.-D. Burkhard).- Controlling Based on Stochastic Models (H.-J. Lenz, E. Rödel).

Erscheint lt. Verlag	31.5.2000
Reihe/Serie	CISM International Centre for Mechanical Sciences
Zusatzinfo	VII, 166 p. 3 illus.
Verlagsort	Vienna
Sprache	englisch
Maße	170 x 244 mm
Gewicht	305 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Themenwelt	Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra
Schlagworte	Artificial Intelligence • Calculus • classification • Clustering • Computational Intelligence • Data Analysis • Databases • Data Mining • fuzzy • Informatik • Intelligence • Künstliche Intelligenz / Computer Science • learning • Logic • Nonmonotonic Reasoning • Statistics • uncertain reasoning • Visualization
ISBN-10	3-211-83326-9 / 3211833269
ISBN-13	978-3-211-83326-1 / 9783211833261
Zustand	Neuware