Data Analysis, Machine Learning and Knowledge Discovery Data Analysis, Machine Learning and Knowledge Discovery
Studies in Classification, Data Analysis, and Knowledge Organization

Data Analysis, Machine Learning and Knowledge Discovery

Myra Spiliopoulou and Others
    • $84.99
    • $84.99

Publisher Description

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. ​

GENRE
Computers & Internet
RELEASED
2013
November 26
LANGUAGE
EN
English
LENGTH
491
Pages
PUBLISHER
Springer International Publishing
SELLER
Springer Nature B.V.
SIZE
6.5
MB
Advances in Data Mining. Applications and Theoretical Aspects Advances in Data Mining. Applications and Theoretical Aspects
2009
Machine Learning and Knowledge Discovery in Databases, Part III Machine Learning and Knowledge Discovery in Databases, Part III
2011
Advances in Intelligent Data Analysis XIV Advances in Intelligent Data Analysis XIV
2015
Advances in Intelligent Data Analysis X Advances in Intelligent Data Analysis X
2011
Discovery Science Discovery Science
2017
Advances in Knowledge Discovery and Data Mining Advances in Knowledge Discovery and Data Mining
2016
From Data and Information Analysis to Knowledge Engineering From Data and Information Analysis to Knowledge Engineering
2006
Intelligent Computations: Abstract Fractional Calculus, Inequalities, Approximations Intelligent Computations: Abstract Fractional Calculus, Inequalities, Approximations
2009
Advances in Web Mining and Web Usage Analysis Advances in Web Mining and Web Usage Analysis
2007
Natural Language and Information Systems Natural Language and Information Systems
2008
Advances in Web Mining and Web Usage Analysis Advances in Web Mining and Web Usage Analysis
2009
Data Science Data Science
2017
Challenges at the Interface of Data Analysis, Computer Science, and Optimization Challenges at the Interface of Data Analysis, Computer Science, and Optimization
2012
Recent Trends and Future Challenges in Learning from Data Recent Trends and Future Challenges in Learning from Data
2024
Statistical Models and Methods for Data Science Statistical Models and Methods for Data Science
2023
Modern Classification and Data Analysis Modern Classification and Data Analysis
2022
Statistical Learning and Modeling in Data Analysis Statistical Learning and Modeling in Data Analysis
2021