Algorithms from and for Nature and Life: Classification and Data Analysis: Studies in Classification, Data Analysis, and Knowledge Organization
Editat de Berthold Lausen, Dirk Van den Poel, Alfred Ultschen Limba Engleză Paperback – 10 sep 2013
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Specificații
ISBN-13: 9783319000343
ISBN-10: 3319000349
Pagini: 510
Ilustrații: XX, 547 p. 111 illus.
Dimensiuni: 155 x 235 x 32 mm
Greutate: 0.79 kg
Ediția:2013
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Classification, Data Analysis, and Knowledge Organization
Locul publicării:Cham, Switzerland
ISBN-10: 3319000349
Pagini: 510
Ilustrații: XX, 547 p. 111 illus.
Dimensiuni: 155 x 235 x 32 mm
Greutate: 0.79 kg
Ediția:2013
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Classification, Data Analysis, and Knowledge Organization
Locul publicării:Cham, Switzerland
Public țintă
ResearchCuprins
Invited.- Clustering and Unsupervised Learning.- Statistical Data Analysis, Visualization and Scaling.- Bioinformatics and Biostatistics.- Archaeology and Geography, Psychology and Educational Sciences.- Text Mining, Social Networks and Clustering.- Banking and Finance.- Marketing and Management.- Music Classification Workshop.
Textul de pe ultima copertă
This volume provides approaches and solutions to challenges occurring at the interface of research fields such as, e.g., data analysis, data mining and knowledge discovery, computer science, operations research, and statistics. In addition to theory-oriented contributions various application areas are included. Moreover, traditional classification research directions concerning network data, graphs, and social relationships as well as statistical musicology describe examples for current interest fields tackled by the authors. The book comprises a total of 55 selected papers presented at the Joint Conference of the German Classification Society (GfKl), the German Association for Pattern Recognition (DAGM), and the Symposium of the International Federation of Classification Societies (IFCS) in 2011.
Caracteristici
Focus on the interface between Data Analysis, Computer Science, and Operations Research Cutting edge methods and results for many advanced data analysis problems Applications from a wide area of application fields? Includes supplementary material: sn.pub/extras