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GFKL
2006
Springer
108views Data Mining» more  GFKL 2006»
13 years 9 months ago
Identifying and Exploiting Ultrametricity
We begin with pervasive ultrametricity due to high dimensionality and/or spatial sparsity. How extent or degree of ultrametricity can be quantified leads us to the discussion of va...
Fionn Murtagh
GFKL
2006
Springer
60views Data Mining» more  GFKL 2006»
13 years 9 months ago
Single Cluster Visualization to Optimize Air Traffic Management
In this paper we present an application of single cluster visualization (SCV) a technique to visualize single clusters of high-dimensional data. This method maps a single cluster t...
Frank Rehm, Frank Klawonn, Rudolf Kruse
GFKL
2006
Springer
89views Data Mining» more  GFKL 2006»
13 years 9 months ago
The Relationship of Word Length and Sentence Length: The Inter-Textual Perspective
The present study concentrates on the relation between sentence length (SL) and word length (WL) as a possible factor in text classification. The dependence of WL and SL is discuss...
Peter Grzybek, Ernst Stadlober, Emmerich Kelih
GFKL
2006
Springer
75views Data Mining» more  GFKL 2006»
13 years 9 months ago
Classification of Contradiction Patterns
Abstract. Solving conflicts between overlapping databases requires an understanding of the reasons that lead to the inconsistencies. Provided that conflicts do not occur randomly b...
Heiko Müller, Ulf Leser, Johann Christoph Fre...
GFKL
2006
Springer
78views Data Mining» more  GFKL 2006»
13 years 9 months ago
Putting Successor Variety Stemming to Work
Stemming algorithms find canonical forms for inflected words, e. g. for declined nouns or conjugated verbs. Since such a unification of words with respect to gender, number, time, ...
Benno Stein, Martin Potthast