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» Using Text Classifiers for Numerical Classification
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107
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ICANNGA
2009
Springer
173views Algorithms» more  ICANNGA 2009»
14 years 7 months ago
On Document Classification with Self-Organising Maps
Abstract This research deals with the use of self-organising maps for the classification of text documents. The aim was to classify documents to separate classes according to their...
Jyri Saarikoski, Kalervo Järvelin, Jorma Laur...
96
Voted
TFS
2008
230views more  TFS 2008»
14 years 9 months ago
SGERD: A Steady-State Genetic Algorithm for Extracting Fuzzy Classification Rules From Data
Abstract--This paper considers the automatic design of fuzzyrule-based classification systems from labeled data. The performance of classifiers and the interpretability of generate...
Eghbal G. Mansoori, Mansoor J. Zolghadri, Seraj D....
WWW
2006
ACM
15 years 10 months ago
Towards practical genre classification of web documents
Classification of documents by genre is typically done either using linguistic analysis or term frequency based techniques. The former provides better classification accuracy than...
George Ferizis, Peter Bailey
70
Voted
ESANN
2008
14 years 11 months ago
K-nearest neighbours based on mutual information for incomplete data classification
Incomplete data is a common drawback that machine learning techniques need to deal with when solving real-life classification tasks. One of the most popular procedures for solving ...
Pedro J. García-Laencina, José-Luis ...
IJCAI
2007
14 years 11 months ago
Learning to Identify Unexpected Instances in the Test Set
Traditional classification involves building a classifier using labeled training examples from a set of predefined classes and then applying the classifier to classify test instan...
Xiaoli Li, Bing Liu, See-Kiong Ng