Data Analysis, Machine Learning and Applications

Data Analysis, Machine Learning and Applications
Author: Christine Preisach
Publisher: Springer Science & Business Media
Total Pages: 714
Release: 2008-04-13
Genre: Computers
ISBN: 354078246X

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Data analysis and machine learning 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, medical science, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.


Data Analysis, Machine Learning and Applications
Language: en
Pages: 714
Authors: Christine Preisach
Categories: Computers
Type: BOOK - Published: 2008-04-13 - Publisher: Springer Science & Business Media

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Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover g
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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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Categories: Technology & Engineering
Type: BOOK - Published: 2021-08-11 - Publisher: Springer Nature

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This book comprises theoretical foundations to deep learning, machine learning and computing system, deep learning algorithms, and various deep learning applica
Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges
Language: en
Pages: 648
Authors: Aboul Ella Hassanien
Categories: Computers
Type: BOOK - Published: 2020-12-14 - Publisher: Springer Nature

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Fundamentals of Machine Learning for Predictive Data Analytics, second edition
Language: en
Pages: 853
Authors: John D. Kelleher
Categories: Computers
Type: BOOK - Published: 2020-10-20 - Publisher: MIT Press

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The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice. Machine