Data Analysis, Machine Learning and Knowledge Discovery

Data Analysis, Machine Learning and Knowledge Discovery
Author: Myra Spiliopoulou
Publisher: Springer Science & Business Media
Total Pages: 461
Release: 2013-11-26
Genre: Computers
ISBN: 3319015958


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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. ​


Data Analysis, Machine Learning and Knowledge Discovery
Language: en
Pages: 461
Authors: Myra Spiliopoulou
Categories: Computers
Type: BOOK - Published: 2013-11-26 - Publisher: Springer Science & Business Media

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Data analysis, machine learning and knowledge discovery are research areas at the intersection of computer science, artificial intelligence, mathematics and sta
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Language: en
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Categories: Business & Economics
Type: BOOK - Published: 2018-03-14 - Publisher: CRC Press

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Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little can be achieved if th