IFIP TC6 Open Digital Library

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

On ECOC as Binary Ensemble Classifiers.

J. Ko, E. Kim

 1-10

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

Finite Mixture Models with Negative Components.

Baibo Zhang, Changshui Zhang

 31-41

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

Comparative Analysis of Genetic Algorithm, Simulated Annealing and Cutting Angle Method for Artificial Neural Networks.

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

A Comprehensible SOM-Based Scoring System.

Johan Huysmans, Bart Baesens, Jan Vanthienen

 80-89

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

Linear Manifold Clustering.

Robert M. Haralick, Rave Harpaz

 132-141

Universal Clustering with Regularization in Probabilistic Space.

Vladimir Nikulin, Alex J. Smola

 142-152

Acquisition of Concept Descriptions by Conceptual Clustering.

Silke Jänichen, Petra Perner

 153-162

Applications of Clustering

Clustering Large Dynamic Datasets Using Exemplar Points.

William Sia, Mihai M. Lazarescu

 163-173

Birds of a Feather Surf Together: Using Clustering Methods to Improve Navigation Prediction from Internet Log Files.

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

Unsupervised Learning of Visual Feature Hierarchies.

Fabien Scalzo, Justus H. Piater

 243-252

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

Prediction of Secondary Protein Structure Content from Primary Sequence Alone - A Feature Selection Based Approach.

Lukasz A. Kurgan, Leila Homaeian

 334-345

Alternative Clustering by Utilizing Multi-objective Genetic Algorithm with Linked-List Based Chromosome Encoding.

Jun Du, Emin Erkan Korkmaz, Reda Alhajj, Ken Barker

 346-355

Time Series and Sequential Pattern Mining

Embedding Time Series Data for Classification.

Akira Hayashi, Yuko Mizuhara, Nobuo Suematsu

 356-365

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

Mining Expressive Temporal Associations from Complex Data.

Keith A. Pray, Carolina Ruiz

 384-394

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

Neural Expert Model Applied to Phonemes Recognition.

Halima Bahi, Mokhtar Sellami

 507-515

An Evidential Reasoning Approach to Weighted Combination of Classifiers for Word Sense Disambiguation.

Cuong Anh Le, Van-Nam Huynh, Akira Shimazu

 516-525

Aspects of Data Mining

Signature-Based Approach for Intrusion Detection.

Bon K. Sy

 526-536

Discovery of Hidden Correlations in a Local Transaction Database Based on Differences of Correlations.

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

Pattern Mining Across Domain-Specific Text Collections.

Lee Gillam, Khurshid Ahmad

 570-579

Text Classification Using Small Number of Features.

Masoud Makrehchi, Mohamed S. Kamel

 580-589

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

Inference on Distributed Data Clustering.

Josenildo Costa da Silva, Matthias Klusch

 610-619

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

Concept Mining for Indexing Medical Literature.

Isabelle Bichindaritz, Sarada Akkineni

 682-691