Search from the table of contents of 2.5 million books
Advanced Search (Beta)
Home > Data Analysis, Machine Learning and Applications: Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e. V. , Albert-Ludwigs-Universität Freiburg, March 7-9, 2007 > FSMTree: An Efficient Algorithm for Mining Frequent Temporal Patterns
Data Analysis, Machine Learning and Applications: Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e. V. , Albert-Ludwigs-Universität Freiburg, March 7-9, 2007 |
Christine Preisach; Hans Burkhardt; Lars Schmidt-Thieme; Reinhold Decker
Springer Berlin Heidelberg
Data Analysis, Machine Learning and Applications: Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e. V. , Albert-Ludwigs-Universität Freiburg, March 7-9, 2007
FSMTree: An Efficient Algorithm for Mining Frequent Temporal Patterns
Authors

Steffen Kempe; Jochen Hipp; Rudolf Kruse

ARI Id

1664329028478_1235840

Access

Not Available Free

Pages

253-260

DOI

10.1007/978-3-540-78246-9_30

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-540-78246-9_30

Table of Contents of Book
Showing 1 to 20 of 85 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
I-XVI
Distance-Based Kernels for Real-Valued Data
Lluís Belanche; Jean Luis Vázquez; Miguel Vázquez
3-10
Fast Support Vector Machine Classification of Very Large Datasets
Janis Fehr; Karina Zapién Arreola; Hans Burkhardt
11-18
Fusion of Multiple Statistical Classifiers
Eugeniusz Gatnar
19-27
Calibrating Margin-Based Classifier Scores into Polychotomous Probabilities
Martin Gebel; Claus Weihs
29-36
Classification with Invariant Distance Substitution Kernels
Bernard Haasdonk; Hans Burkhardt
37-44
Applying the Kohonen Self-Organizing Map Networks to Select Variables
Kamila Migdał Najman; Krzysztof Najman
45-54
Computer Assisted Classification of Brain Tumors
Norbert Röhrl; José R. Iglesias-Rozas; Galia Weidl
55-60
Model Selection in Mixture Regression Analysis–A Monte Carlo Simulation Study
Marko Sarstedt; Manfred Schwaiger
61-68
Comparison of Local Classification Methods
Julia Schiffner; Claus Weihs
69-76
Incorporating Domain Specific Information into Gaia Source Classification
Kester W. Smith; Carola Tiede; Coryn A. L. Bailer-Jones
77-83
Identification of Noisy Variables for Nonmetric and Symbolic Data in Cluster Analysis
Marek Walesiak; Andrzej Dudek
85-92
Families of Dendrograms
Patrick Erik Bradley
95-102
Mixture Models in Forward Search Methods for Outlier Detection
Daniela G. Calò
103-110
On Multiple Imputation Through Finite Gaussian Mixture Models
Marco Di Zio; Ugo Guarnera
111-118
Mixture Model Based Group Inference in Fused Genotype and Phenotype Data
Benjamin Georgi; M. Anne Spence; Pamela Flodman; Alexander Schliep
119-126
The Noise Component in Model-based Cluster Analysis
Christian Hennig; Pietro Coretto
127-138
An Artificial Life Approach for Semi-supervised Learning
Lutz Herrmann; Alfred Ultsch
139-146
Hard and Soft Euclidean Consensus Partitions
Kurt Hornik; Walter Böhm
147-154
Rationale Models for Conceptual Modeling
Sina Lehrmann; Werner Esswein
155-162
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 85 entries
Similar Books
Similar Chapters
Similar Thesis

Similar News

Similar Articles
Similar Article Headings