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Abstract: The classi cation of high dimensional data like time series requires the ecient extraction of meaningful features. The systematization of statistical methods allows automatic approaches to combine these methods and construct a method tree which delivers suitable features. It can be shown that the combination of ef- cient methods also works eciently, which is especially necessary for the feature extraction from large value series. The transformation from raw series data to feature vectors is... (Update)
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3.4: Automatic Feature Extraction from Large Time Series - Mierswa (2004) (Correct)
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BibTeX entry: (Update)
@misc{ ingo-automatic,
author = "Time Series Ingo",
title = "Automatic Feature Extraction from Large",
url = "citeseer.ist.psu.edu/766783.html" }
Citations (may not include all citations):2177 Programs for Machine Learning (context) - QUINLAN - 1993
976 Machine Learning (context) - MITCHELL - 1996
268 Making large-Scale SVM Learning Practical - JOACHIMS - 1999
44 Data Preparation for Data Mining (context) - PYLE - 1999
21 Data Mining (context) - WITTEN, FRANK - 2000
13 A Flexible Platform for Knowledge Discovery Experiments: YAL.. - MIERSWA, KLINKENBERG et al. - 2003
12 and Selection: A Data Mining Perspective (context) - LIU, MOTODA - 1998
6 A Hybrid Approach to Feature Selection and Generation Using .. - RITTHOFF, KLINKENBERG et al. - 2000
2 Oldenbourg Verlag Munchen (context) - SCHLITTGEN, STREITBERG - 1997
2 YALE: Yet Another Learning Environment (context) - FISCHER, KLINKENBERG et al. - 1993
2 Intelligent Data Analysis: An Introduction (context) - BRADLEY, Intelligent et al. - 1999
2 Preprocessing for Handling Time Phenomena (context) - MORIK - 2000
2 MiningMart Deliverable No (context) - MORIK, LIEDTKE - 2000
2 Bach: Merkmalsextraktion im Phasenraum von Audiodaten (context) - MIERSWA - 2003
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