Data Analysis, Machine Learning and Applications Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7–9, 2007 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Preisach, Christine (Επιμελητής έκδοσης), Burkhardt, Hans (Επιμελητής έκδοσης), Schmidt-Thieme, Lars (Επιμελητής έκδοσης), Decker, Reinhold (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Σειρά: Studies in Classification, Data Analysis, and Knowledge Organization,
• Θέματα: Computer science.; Information technology.; Business > Data processing.; Data mining.; Artificial intelligence.; Statistics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Statistics, general.; IT in Business.; Data Mining and Knowledge Discovery.

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, bio...

Πίνακας περιεχομένων:

• Classification
• Clustering
• Multidimensional Data Analysis
• Analysis of Complex Data
• Exploratory Data Analysis and Tools for Data Analysis
• Marketing and Management Science
• Banking and Finance
• Business Intelligence
• Text Mining, Web Mining, and the Semantic Web
• Linguistics
• Data Analysis in Humanities.