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Principles of Data Mining and Knowledge Discovery
Clustering Ontology-Based Metadata in the Semantic Web
other
Author(s):
Alexander Maedche
,
Valentin Zacharias
Publication date
(Online):
September 18 2002
Publisher:
Springer Berlin Heidelberg
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Foundations of statistical natural language processing
D. Manning C.
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D c
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Manning C. D.
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(1999)
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Creating the Semantic Web
A. Maedche
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Publication date (Print):
2002
Publication date (Online):
September 18 2002
Pages
: 348-360
DOI:
10.1007/3-540-45681-3_29
SO-VID:
2d378d17-b94b-4f9d-80f2-4c89d6f999a4
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Book chapters
pp. 62
The Need for Low Bias Algorithms in Classification Learning from Large Data Sets
pp. 325
Geography of Di.erences between Two Classes of Data
pp. 410
Answering the Most Correlated N Association Rules Efficiently
pp. 51
On the Discovery of Weak Periodicities in Large Time Series
pp. 74
Mining All Non-derivable Frequent Itemsets
pp. 125
A Classification Approach for Prediction of Target Events in Temporal Sequences
pp. 275
Spatial Subgroup Mining Integrated in an Object-Relational Spatial Database
pp. 348
Clustering Ontology-Based Metadata in the Semantic Web
pp. 373
SVM Classification Using Sequences of Phonemes and Syllables
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