4. MLDM 2005: Leipzig, Germany
Machine Learning and Data Mining in Pattern Recognition, 4th International Conference, MLDM 2005, Leipzig, Germany, July 9-11, 2005, Proceedings
Petra Perner, Atsushi Imiya
Springer, Lecture Notes in Computer Science 3587, ISBN: 3-540-26923-1
Contents
Classification and Model Estimation
Incremental Classification Rules Based on Association Rules Using Formal Concept Analysis.
Anamika Gupta, Naveen Kumar 0001, Vasudha Bhatnagar
11-20
Parameter Inference of Cost-Sensitive Boosting Algorithms.
Yanmin Sun, Andrew K. C. Wong, Yang Wang 0007
21-30
MML-Based Approach for Finite Dirichlet Mixture Estimation and Selection.
Nizar Bouguila, Djemel Ziou
42-51
Principles of Multi-kernel Data Mining.
Vadim Mottl, Olga Krasotkina, Oleg Seredin, Ilya B. Muchnik
52-61
Neural Methods
Ranadhir Ghosh, Moumita Ghosh, John Yearwood, Adil M. Bagirov
62-70
Determining Regularization Parameters for Derivative Free Neural Learning.
Ranadhir Ghosh, Moumita Ghosh, John Yearwood, Adil M. Bagirov
71-79
Subspace Methods
The Convex Subclass Method: Combinatorial Classifier Based on a Family of Convex Sets.
Ichigaku Takigawa, Mineichi Kudo, Atsuyoshi Nakamura
90-99
SSC: Statistical Subspace Clustering.
Laurent Candillier, Isabelle Tellier, Fabien Torre, Olivier Bousquet
100-109
Understanding Patterns with Different Subspace Classification.
Gero Szepannek, Karsten Luebke, Claus Weihs
110-119
Clustering: Basics
Using Clustering to Learn Distance Functions for Supervised Similarity Assessment.
Christoph F. Eick, Alain Rouhana, Abraham Bagherjeiran, Ricardo Vilalta
120-131
Universal Clustering with Regularization in Probabilistic Space.
Vladimir Nikulin, Alex J. Smola
142-152
Applications of Clustering
Martin Halvey, Mark T. Keane, Barry Smyth
174-183
Alarm Clustering for Intrusion Detection Systems in Computer Networks.
Giorgio Giacinto, Roberto Perdisci, Fabio Roli
184-193
Clustering Document Images Using Graph Summaries.
Eugen Barbu, Pierre Héroux, Sébastien Adam, Éric Trupin
194-202
Feature Grouping, Discretization, Selection and Transformation
Feature Selection Method Using Preferences Aggregation.
Gaëlle Legrand, Nicolas Nicoloyannis
203-217
Ranked Modelling with Feature Selection Based on the CPL Criterion Functions.
Leon Bobrowski
218-227
A Grouping Method for Categorical Attributes Having Very Large Number of Values.
Marc Boullé
228-242
Multivariate Discretization by Recursive Supervised Bipartition of Graph.
Sylvain Ferrandiz, Marc Boullé
253-264
CorePhrase: Keyphrase Extraction for Document Clustering.
Khaled M. Hammouda, Diego N. Matute, Mohamed S. Kamel
265-274
A New Multidimensional Feature Transformation for Linear Classifiers and Its Applications.
EunSang Bak
275-284
Applications in Medicine
Comparison of FLDA, MLP and SVM in Diagnosis of Lung Nodule.
Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Alexandre César Muniz de Oliveira
285-294
Diagnosis of Lung Nodule Using Reinforcement Learning and Geometric Measures.
Aristófanes Corrêa Silva, Valdeci Ribeiro da Silva Jr., Areolino de Almeida Neto, Anselmo Cardoso de Paiva
295-304
Iris Recognition Algorithm Based on Point Covering of High-Dimensional Space and Neural Network.
Wenming Cao, Jianhui Hu, Gang Xiao, Shoujue Wang
305-313
Automatic Clinical Image Segmentation Using Pathological Modelling, PCA and SVM.
Shuo Li, Thomas Fevens, Adam Krzyzak, Song Li
314-324
Improved MRI Mining by Integrating Support Vector Machine Priors in the Bayesian Restoration.
Dimitris A. Karras, Basil G. Mertzios, Danielle Graveron-Demilly, Dirk van Ormondt
325-333
Lukasz A. Kurgan, Leila Homaeian
334-345
Jun Du, Emin Erkan Korkmaz, Reda Alhajj, Ken Barker
346-355
Time Series and Sequential Pattern Mining
Analysis of Time Series of Graphs: Prediction of Node Presence by Means of Decision Tree Learning.
Horst Bunke, Peter J. Dickinson, Christophe Irniger, Miro Kraetzl
366-375
Disjunctive Sequential Patterns on Single Data Sequence and Its Anti-monotonicity.
Kazuhiro Shimizu, Takao Miura
376-383
Statistical Supports for Frequent Itemsets on Data Streams.
Pierre-Alain Laur, Jean-Emile Symphor, Richard Nock, Pascal Poncelet
395-404
Mining Images in Computer Vision
Autonomous Vehicle Steering Based on Evaluative Feedback by Reinforcement Learning.
Klaus-Dieter Kuhnert, Michael Krödel
405-414
Cost Integration in Multi-step Viewpoint Selection for Object Recognition.
Christian Derichs, Frank Deinzer, Heinrich Niemann
415-425
Support Vector Machine Experiments for Road Recognition in High Resolution Images.
J. Y. Lai, Arcot Sowmya, John Trinder
426-436
An Automatic Face Recognition System in the Near Infrared Spectrum.
Shuyan Zhao, Rolf-Rainer Grigat
437-444
Mining Images and Texture
Hierarchical Partitions for Content Image Retrieval from Large-Scale Database.
Dmitry Kinoshenko, Vladimir Mashtalir, Elena Yegorova, Vladimir Vinarsky
445-455
Optimising the Choice of Colours of an Image Database for Dichromats.
Vassili A. Kovalev, Maria Petrou
456-465
An Approach to Mining Picture Objects Based on Textual Cues.
Adeoye I. Adegorite, Otman A. Basir, Mohamed S. Kamel, Khaled Bashir Shaban
466-475
Mining Motion from Sequence
Activity and Motion Detection Based on Measuring Texture Change.
Longin Jan Latecki, Roland Miezianko, Dragoljub Pokrajac
476-486
A New Approach to Human Motion Sequence Recognition with Application to Diving Actions.
Shiming Xiang, Changshui Zhang, Xiaoping Chen, Naijiang Lu
487-496
Dominant Plane Detection Using Optical Flow and Independent Component Analysis.
Naoya Ohnishi, Atsushi Imiya
497-506
Speech Analysis
Cuong Anh Le, Van-Nam Huynh, Akira Shimazu
516-525
Aspects of Data Mining
Tsuyoshi Taniguchi, Makoto Haraguchi, Yoshiaki Okubo
537-548
An Integrated Approach for Mining Meta-rules.
Feiyue Ye, Jiandong Wang, Shiliang Wu, Huiping Chen, Tianqiang Huang, Li Tao
549-557
Data Mining on Crash Simulation Data.
Annette Kuhlmann, Ralf-Michael Vetter, Christoph Lübbing, Clemens-August Thole
558-569
Text Mining
Low-Level Cursive Word Representation Based on Geometric Decomposition.
Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen, Dominique Ponson
590-599
Special Track: Industrial Applications of Data Mining
Supervised Evaluation of Dataset Partitions: Advantages and Practice.
Sylvain Ferrandiz, Marc Boullé
600-609
A Novel Approach of Multilevel Positive and Negative Association Rule Mining for Spatial Databases.
Lokesh Kumar Sharma, Om Prakash Vyas, Uma Shanker Tiwary, Ranjana Vyas
620-629
Mixture Random Effect Model Based Meta-analysis for Medical Data Mining.
Yinglong Xia, Shifeng Weng, Changshui Zhang, Shao Li
630-640
Semantic Analysis of Association Rules via Item Response Theory.
Shinichi Hamano, Masako Sato
641-650
Temporal Approach to Association Rule Mining Using T-Tree and P-Tree.
Keshri Verma, Om Prakash Vyas, Ranjana Vyas
651-659
Aquaculture Feature Extraction from Satellite Image Using Independent Component Analysis.
Jong Gyu Han, Kwang Hoon Chi, Yeon Kwang Yeon
660-666
Modeling the Organoleptic Properties of Matured Wine Distillates.
Sotiris B. Kotsiantis, George E. Tsekouras, C. Raptis, Panayiotis E. Pintelas
667-673
Bagging Random Trees for Estimation of Tissue Softness.
Sotiris B. Kotsiantis, George E. Tsekouras, Panayiotis E. Pintelas
674-681