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Home > Principles of Data Mining and Knowledge Discovery: 5th European Conference, PKDD 2001, Freiburg, Germany, September 3-5, 2001 Proceedings > Parametric Approximation Algorithms for High-Dimensional Euclidean Similarity
Principles of Data Mining and Knowledge Discovery: 5th European Conference, PKDD 2001, Freiburg, Germany, September 3-5, 2001 Proceedings |
Luc de Raedt; Arno Siebes
Springer Berlin Heidelberg
Principles of Data Mining and Knowledge Discovery: 5th European Conference, PKDD 2001, Freiburg, Germany, September 3-5, 2001 Proceedings
Parametric Approximation Algorithms for High-Dimensional Euclidean Similarity
Authors

Ömer Eğecioğlu

ARI Id

1664713641648_2873144

Access

Not Available Free

Pages

79-90

DOI

10.1007/3-540-44794-6_7

Chapter URL

https://rd.springer.com/chapter/10.1007/3-540-44794-6_7

Table of Contents of Book
Showing 1 to 20 of 47 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
I-XVIII
Self-Similar Layered Hidden Markov Models
Jafar Adibi; Wei-Min Shen
1-15
Automatic Text Summarization Using Unsupervised and Semi-supervised Learning
Massih-Reza Amini; Patrick Gallinari
16-28
Detecting Temporal Change in Event Sequences: An Application to Demographic Data
H. Blockeel; J. Fürnkranz; A. Prskawetz; F. C. Billari
29-41
Knowledge Discovery in Multi-label Phenotype Data
Amanda Clare; Ross D. King
42-53
Computing Association Rules Using Partial Totals
Frans Coenen; Graham Goulbourne; Paul Leng
54-66
Gaphyl: A Genetic Algorithms Approach to Cladistics
Clare Bates Congdon
67-78
Parametric Approximation Algorithms for High-Dimensional Euclidean Similarity
Ömer Eğecioğlu
79-90
Data Structures for Minimization of Total Within-Group Distance for Spatio-temporal Clustering
Vladimir Estivill-Castro; Michael E. Houle
91-102
Non-crisp Clustering by Fast, Convergent, and Robust Algorithms
Vladimir Estivill-Castro; Jianhua Yang
103-114
Pattern Extraction for Time Series Classification
Pierre Geurts
115-127
Specifying Mining Algorithms with Iterative User-Defined Aggregates: A Case Study
Fosca Giannotti; Giuseppe Manco; Franco Turini
128-139
Interesting Fuzzy Association Rules in Quantitative Databases
Jeannette M. de Graaf; Walter A. Kosters; Jeroen J. W. Witteman
140-151
Interestingness Measures for Fuzzy Association Rules
Attila Gyenesei; Jukka Teuhola
152-164
A Data Set Oriented Approach for Clustering Algorithm Selection
Maria Halkich; Michalis Vazirgiannis
165-179
Fusion of Meta-knowledge and Meta-data for Case-Based Model Selection
Melanie Hilario; Alexandros Kalousis
180-191
Discovery of Temporal Patterns
Frank Höppner
192-203
Temporal Rule Discovery for Time-Series Satellite Images and Integration with RDB
Rie Honda; Osamu Konishi
204-215
Using Grammatical Inference to Automate Information Extraction from the Web
Theodore W. Hong; Keith L. Clark
216-227
Biological Sequence Data Mining
Yuh-Jyh Hu
228-240
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 47 entries
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