6. MLDM 2009: Leipzig, Germany

Petra Perner (Ed.): Machine Learning and Data Mining in Pattern Recognition, 6th International Conference, MLDM 2009, Leipzig, Germany, July 23-25, 2009. Proceedings. Lecture Notes in Computer Science 5632 Springer 2009, ISBN 978-3-642-03069-7

Attribute Discretization and Data Preparation

Klaus Truemper:
Improved Comprehensibility and Reliability of Explanations via Restricted Halfspace Discretization. 1-15
Oleg Seredin, Andrey Kopylov, Vadim Mottl:
Selection of Subsets of Ordered Features in Machine Learning. 16-28
Olga Kurasova, Alma Molyte:
Combination of Vector Quantization and Visualization. 29-43
Katherine Moreland, Klaus Truemper:
Discretization of Target Attributes for Subgroup Discovery. 44-52
Ye Zhu, Yongjian Fu, Huirong Fu:
Preserving Privacy in Time Series Data Classification by Discretization. 53-67
Taimur Qureshi, Djamel A. Zighed:
Using Resampling Techniques for Better Quality Discretization. 68-81

Classification

Xinwang Liu, Jianping Yin, En Zhu, Guomin Zhang, Yubin Zhan, Miaomiao Li:
A Large Margin Classifier with Additional Features. 82-95
Bashar Awwad Shiekh Hasan, John Q. Gan:
Sequential EM for Unsupervised Adaptive Gaussian Mixture Model Based Classifier. 96-106
Feng Wang, Hongbin Zhang:
Optimal Double-Kernel Combination for Classification. 107-122
M. Moed, Evgueni N. Smirnov:
Efficient AdaBoost Region Classification. 123-136
Takao Kobayashi, Ikuko Shimizu:
A Linear Classification Method in a Very High Dimensional Space Using Distributed Representation. 137-147
Frederic T. Stahl, Max A. Bramer, Mo Adda:
PMCRI: A Parallel Modular Classification Rule Induction Framework. 148-162
Roberto Tronci, Giorgio Giacinto, Fabio Roli:
Dynamic Score Combination: A Supervised and Unsupervised Score Combination Method. 163-177
Olga Barinova, Dmitry Vetrov:
ODDboost: Incorporating Posterior Estimates into AdaBoost. 178-190

Ensemble Classifier Learning

João Mendes-Moreira, Alípio Mário Jorge, Carlos Soares, Jorge Freire de Sousa:
Ensemble Learning: A Study on Different Variants of the Dynamic Selection Approach. 191-205
Rakkrit Duangsoithong, Terry Windeatt:
Relevance and Redundancy Analysis for Ensemble Classifiers. 206-220
Frank Rosenthal, Peter Benjamin Volk, Martin Hahmann, Dirk Habich, Wolfgang Lehner:
Drift-Aware Ensemble Regression. 221-235
Pei-Pei Li, Xuegang Hu, Qianhui Liang, Yunjun Gao:
Concept Drifting Detection on Noisy Streaming Data in Random Ensemble Decision Trees. 236-250

Association Rules and Pattern Mining

Corrado Loglisci, Donato Malerba:
Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies. 251-265
Ana Cristina Mendes, Cláudia Antunes:
Pattern Mining with Natural Language Processing: An Exploratory Approach. 266-279
Stephen France, Douglas Carroll:
Is the Distance Compression Effect Overstated? Some Theory and Experimentation. 280-294

Support Vector Machines

Nicola Segata, Enrico Blanzieri:
Fast Local Support Vector Machines for Large Datasets. 295-310
Nahla H. Barakat, Andrew P. Bradley:
The Effect of Domain Knowledge on Rule Extraction from Support Vector Machines. 311-321
Haytham Elghazel, Khalid Benabdeslem:
Towards B-Coloring of SOM. 322-336

Clustering

Tarek Smaoui, Sascha Müller, Christian Müller-Schloer:
CSBIterKmeans: A New Clustering Algorithm Based on Quantitative Assessment of the Clustering Quality. 337-346
Ireneusz Czarnowski, Piotr Jedrzejowicz:
Agent-Based Non-distributed and Distributed Clustering. 347-360
Daniel Duarte Abdala, Xiaoyi Jiang:
An Evidence Accumulation Approach to Constrained Clustering Combination. 361-371
Tomoya Sakai, Atsushi Imiya:
Fast Spectral Clustering with Random Projection and Sampling. 372-384
Frank Höppner:
How Much True Structure Has Been Discovered? 385-397
Luís Sarmento, Alexander Kehlenbeck, Eugénio C. Oliveira, Lyle H. Ungar:
Efficient Clustering of Web-Derived Data Sets. 398-412
Khalid Benabdeslem, Jihene Snoussi:
A Probabilistic Approach for Constrained Clustering with Topological Map. 413-426

Novelty and Outlier Detection

Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Carmine Valente, Donato Malerba:
Relational Frequent Patterns Mining for Novelty Detection from Data Streams. 427-439
Charlie Isaksson, Margaret H. Dunham:
A Comparative Study of Outlier Detection Algorithms. 440-453
Manuel Mejía-Lavalle, Atlántida Sánchez Vivar:
Outlier Detection with Explanation Facility. 454-464

Learning

Dominique Bouthinon, Henry Soldano, Véronique Ventos:
Concept Learning from (Very) Ambiguous Examples. 465-478
Yoshiaki Okubo, Makoto Haraguchi:
Finding Top-N Pseudo Formal Concepts with Core Intents. 479-493
Jan-P. Calliess:
On Fixed Convex Combinations of No-Regret Learners. 494-504
Kemal Yüksek, Serhat Cakaloglu:
An Improved Tabu Search (ITS) Algorithm Based on Open Cover Theory for Global Extremums. 505-515
Katherine Moreland, Klaus Truemper:
The Needles-in-Haystack Problem. 516-524

Data Mining on Multimedia Data

Spiros Nikolopoulos, Georgios Th. Papadopoulos, Ioannis Kompatsiaris, Ioannis Patras:
An Evidence-Driven Probabilistic Inference Framework for Semantic Image Understanding. 525-539
André Pereira Nunes, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva:
Detection of Masses in Mammographic Images Using Simpson's Diversity Index in Circular Regions and SVM. 540-553
Vassili Kovalev, Aliaksandr Prus, Pavel Vankevich:
Mining Lung Shape from X-Ray Images. 554-568
Pan Xiong, Yaxin Bi, Xuhui Shen:
A Wavelet-Based Method for Detecting Seismic Anomalies in Remote Sensing Satellite Data. 569-581
Qingzhong Liu, Andrew H. Sung, Mengyu Qiao:
Spectrum Steganalysis of WAV Audio Streams. 582-593
Elisabetta Fersini, Enza Messina, G. Arosio, Francesco Archetti:
Audio-Based Emotion Recognition in Judicial Domain: A Multilayer Support Vector Machines Approach. 594-602
Wei-Chung Lee, Jong-Chen Chen, Shou-zhe Wu, Kuo-Ming Lin:
Learning with a Quadruped Chopstick Robot. 603-616
Kaspar Riesen, Horst Bunke:
Dissimilarity Based Vector Space Embedding of Graphs Using Prototype Reduction Schemes. 617-631

Text Mining

Teresa Gonçalves, Paulo Quaresma:
Using Graph-Kernels to Represent Semantic Information in Text Classification. 632-646
Hongfang Jing, Bin Wang, Yahui Yang, Yan Xu:
A General Framework of Feature Selection for Text Categorization. 647-662
Walaa K. Gad, Mohamed S. Kamel:
New Semantic Similarity Based Model for Text Clustering Using Extended Gloss Overlaps. 663-677

Aspects of Data Mining

Erik Strumbelj, Marko Robnik-Sikonja, Igor Kononenko:
Learning Betting Tips from Users' Bet Selections. 678-688
Luís Sarmento, Alexander Kehlenbeck, Eugénio C. Oliveira, Lyle H. Ungar:
An Approach to Web-Scale Named-Entity Disambiguation. 689-703
Sahar Changuel, Nicolas Labroche, Bernadette Bouchon-Meunier:
A General Learning Method for Automatic Title Extraction from HTML Pages. 704-718
Oner Ulvi Celepcikay, Christoph F. Eick, Carlos Ordonez:
Regional Pattern Discovery in Geo-referenced Datasets Using PCA. 719-733
Daniel Nikovski, Ganesan Ramachandran:
Memory-Based Modeling of Seasonality for Prediction of Climatic Time Series. 734-748
Gülnur Derelioglu, Fikret S. Gürgen, Nesrin Okay:
A Neural Approach for SME's Credit Risk Analysis in Turkey. 749-759
Fernando Fernández, Daniel Borrajo, Susana Fernández, David Manzano:
Assisting Data Mining through Automated Planning. 760-774
Mikhail Dashevskiy, Zhiyuan Luo:
Predictions with Confidence in Applications. 775-786

Data Mining in Medicine

Linda C. van der Gaag, Silja Renooij, Ad Feelders, Arend de Groote, Marinus J. C. Eijkemans, Frank J. Broekmans, Bart C. J. M. Fauser:
Aligning Bayesian Network Classifiers with Medical Contexts. 787-801
Francisco Reinaldo, Carlos Fernandes, Md. Anishur Rahman, Andreia Malucelli, Rui Camacho:
Assessing the Eligibility of Kidney Transplant Donors. 802-809
Cleriston Araujo da Silva, Aristófanes Corrêa Silva, Stelmo Magalhães Barros Netto, Anselmo Cardoso de Paiva, Geraldo Braz Junior, Rodolfo Acatauassu Nunes:
Lung Nodules Classification in CT Images Using Simpson's Index, Geometrical Measures and One-Class SVM. 810-822