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. Ed(S): Spiliopoulou, Myra; Schmidt-Thieme, Lars (Universitay Of Freiburg); Janning, Ruth - Data Analysis, Machine Learning and Knowledge Discovery - 9783319015941 - V9783319015941
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Data Analysis, Machine Learning and Knowledge Discovery

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Description for Data Analysis, Machine Learning and Knowledge Discovery Paperback. Editor(s): Spiliopoulou, Myra; Schmidt-Thieme, Lars (Universitay of Freiburg); Janning, Ruth. Series: Studies in Classification, Data Analysis, and Knowledge Organization. Num Pages: 491 pages, 88 black & white illustrations, 32 colour illustrations, biography. BIC Classification: KJS; UNC; UNF; UYQM. Category: (P) Professional & Vocational. Dimension: 234 x 160 x 26. Weight in Grams: 706.
Data analysis, machine learning and knowledge discovery are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medicine, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and knowledge discovery presented during the 36th annual conference of the German Classification Society (GfKl). The conference was held at the University of Hildesheim (Germany) in August 2012. ​

Product Details

Format
Paperback
Publication date
2013
Publisher
Springer International Publishing AG Switzerland
Number of pages
491
Condition
New
Series
Studies in Classification, Data Analysis, and Knowledge Organization
Number of Pages
470
Place of Publication
Cham, Switzerland
ISBN
9783319015941
SKU
V9783319015941
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Data Analysis, Machine Learning and Knowledge Discovery
From the book reviews: “The book is organized in seven parts … . The book is a very interesting collection of papers describing various approaches of data mining and machine learning on aspects from bioinformatics to music classification. It is an excellent addition to the field and it can be used as starting point for projects from undergraduate to ... Read more

Goodreads reviews for Data Analysis, Machine Learning and Knowledge Discovery


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