4. MLDM 2005: Leipzig, Germany
Petra Perner, Atsushi Imiya (Eds.): Machine Learning and Data Mining in Pattern Recognition, 4th International Conference, MLDM 2005, Leipzig, Germany, July 9-11, 2005, Proceedings. Springer 2005 Lecture Notes in Computer Science ISBN 3-540-26923-1
Classification and Model Estimation
- Anamika Gupta, Naveen Kumar, Vasudha Bhatnagar: Incremental Classification Rules Based on Association Rules Using Formal Concept Analysis. 11-20
- Yanmin Sun, Andrew K. C. Wong, Yang Wang: Parameter Inference of Cost-Sensitive Boosting Algorithms. 21-30
- Nizar Bouguila, Djemel Ziou: MML-Based Approach for Finite Dirichlet Mixture Estimation and Selection. 42-51
- Vadim Mottl, Olga Krasotkina, Oleg Seredin, Ilya B. Muchnik: Principles of Multi-kernel Data Mining. 52-61
Neural Methods
- Ranadhir Ghosh, Moumita Ghosh, John Yearwood, Adil M. Bagirov: Comparative Analysis of Genetic Algorithm, Simulated Annealing and Cutting Angle Method for Artificial Neural Networks. 62-70
- Ranadhir Ghosh, Moumita Ghosh, John Yearwood, Adil M. Bagirov: Determining Regularization Parameters for Derivative Free Neural Learning. 71-79
Subspace Methods
- Ichigaku Takigawa, Mineichi Kudo, Atsuyoshi Nakamura: The Convex Subclass Method: Combinatorial Classifier Based on a Family of Convex Sets. 90-99
- Laurent Candillier, Isabelle Tellier, Fabien Torre, Olivier Bousquet: SSC: Statistical Subspace Clustering. 100-109
- Gero Szepannek, Karsten Luebke, Claus Weihs: Understanding Patterns with Different Subspace Classification. 110-119
Clustering: Basics
- Christoph F. Eick, Alain Rouhana, Abraham Bagherjeiran, Ricardo Vilalta: Using Clustering to Learn Distance Functions for Supervised Similarity Assessment. 120-131
- Vladimir Nikulin, Alex J. Smola: Universal Clustering with Regularization in Probabilistic Space. 142-152
Applications of Clustering
- Martin Halvey, Mark T. Keane, Barry Smyth: Birds of a Feather Surf Together: Using Clustering Methods to Improve Navigation Prediction from Internet Log Files. 174-183
- Giorgio Giacinto, Roberto Perdisci, Fabio Roli: Alarm Clustering for Intrusion Detection Systems in Computer Networks. 184-193
- Eugen Barbu, Pierre Héroux, Sébastien Adam, Éric Trupin: Clustering Document Images Using Graph Summaries. 194-202
Feature Grouping, Discretization, Selection and Transformation
- Gaëlle Legrand, Nicolas Nicoloyannis: Feature Selection Method Using Preferences Aggregation. 203-217
- Leon Bobrowski: Ranked Modelling with Feature Selection Based on the CPL Criterion Functions. 218-227
- Marc Boullé: A Grouping Method for Categorical Attributes Having Very Large Number of Values. 228-242
- Sylvain Ferrandiz, Marc Boullé: Multivariate Discretization by Recursive Supervised Bipartition of Graph. 253-264
- Khaled M. Hammouda, Diego N. Matute, Mohamed S. Kamel: CorePhrase: Keyphrase Extraction for Document Clustering. 265-274
- EunSang Bak: A New Multidimensional Feature Transformation for Linear Classifiers and Its Applications. 275-284
Applications in Medicine
- Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Alexandre César Muniz de Oliveira: Comparison of FLDA, MLP and SVM in Diagnosis of Lung Nodule. 285-294
- Aristófanes Corrêa Silva, Valdeci Ribeiro da Silva Jr., Areolino de Almeida Neto, Anselmo Cardoso de Paiva: Diagnosis of Lung Nodule Using Reinforcement Learning and Geometric Measures. 295-304
- Wenming Cao, Jianhui Hu, Gang Xiao, Shoujue Wang: Iris Recognition Algorithm Based on Point Covering of High-Dimensional Space and Neural Network. 305-313
- Shuo Li, Thomas Fevens, Adam Krzyzak, Song Li: Automatic Clinical Image Segmentation Using Pathological Modelling, PCA and SVM. 314-324
- Dimitris A. Karras, Basil G. Mertzios, Danielle Graveron-Demilly, Dirk van Ormondt: Improved MRI Mining by Integrating Support Vector Machine Priors in the Bayesian Restoration. 325-333
- Lukasz A. Kurgan, Leila Homaeian: Prediction of Secondary Protein Structure Content from Primary Sequence Alone - A Feature Selection Based Approach. 334-345
- Jun Du, Emin Erkan Korkmaz, Reda Alhajj, Ken Barker: Alternative Clustering by Utilizing Multi-objective Genetic Algorithm with Linked-List Based Chromosome Encoding. 346-355
Time Series and Sequential Pattern Mining
- Akira Hayashi, Yuko Mizuhara, Nobuo Suematsu: Embedding Time Series Data for Classification. 356-365
- Horst Bunke, Peter J. Dickinson, Christophe Irniger, Miro Kraetzl: Analysis of Time Series of Graphs: Prediction of Node Presence by Means of Decision Tree Learning. 366-375
- Kazuhiro Shimizu, Takao Miura: Disjunctive Sequential Patterns on Single Data Sequence and Its Anti-monotonicity. 376-383
- Pierre-Alain Laur, Jean-Emile Symphor, Richard Nock, Pascal Poncelet: Statistical Supports for Frequent Itemsets on Data Streams. 395-404
Mining Images in Computer Vision
- Klaus-Dieter Kuhnert, Michael Krödel: Autonomous Vehicle Steering Based on Evaluative Feedback by Reinforcement Learning. 405-414
- Christian Derichs, Frank Deinzer, Heinrich Niemann: Cost Integration in Multi-step Viewpoint Selection for Object Recognition. 415-425
- J. Y. Lai, Arcot Sowmya, John Trinder: Support Vector Machine Experiments for Road Recognition in High Resolution Images. 426-436
- Shuyan Zhao, Rolf-Rainer Grigat: An Automatic Face Recognition System in the Near Infrared Spectrum. 437-444
Mining Images and Texture
- Dmitry Kinoshenko, Vladimir Mashtalir, Elena Yegorova, Vladimir Vinarsky: Hierarchical Partitions for Content Image Retrieval from Large-Scale Database. 445-455
- Vassili A. Kovalev, Maria Petrou: Optimising the Choice of Colours of an Image Database for Dichromats. 456-465
- Adeoye I. Adegorite, Otman A. Basir, Mohamed S. Kamel, Khaled Bashir Shaban: An Approach to Mining Picture Objects Based on Textual Cues. 466-475
Mining Motion from Sequence
- Longin Jan Latecki, Roland Miezianko, Dragoljub Pokrajac: Activity and Motion Detection Based on Measuring Texture Change. 476-486
- Shiming Xiang, Changshui Zhang, Xiaoping Chen, Naijiang Lu: A New Approach to Human Motion Sequence Recognition with Application to Diving Actions. 487-496
- Naoya Ohnishi, Atsushi Imiya: Dominant Plane Detection Using Optical Flow and Independent Component Analysis. 497-506
Speech Analysis
- Cuong Anh Le, Van-Nam Huynh, Akira Shimazu: An Evidential Reasoning Approach to Weighted Combination of Classifiers for Word Sense Disambiguation. 516-525
Aspects of Data Mining
- Bon K. Sy: Signature-Based Approach for Intrusion Detection. 526-536
- Tsuyoshi Taniguchi, Makoto Haraguchi, Yoshiaki Okubo: Discovery of Hidden Correlations in a Local Transaction Database Based on Differences of Correlations. 537-548
- Feiyue Ye, Jiandong Wang, Shiliang Wu, Huiping Chen, Tianqiang Huang, Li Tao: An Integrated Approach for Mining Meta-rules. 549-557
- Annette Kuhlmann, Ralf-Michael Vetter, Christoph Lübbing, Clemens-August Thole: Data Mining on Crash Simulation Data. 558-569
Text Mining
- Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen, Dominique Ponson: Low-Level Cursive Word Representation Based on Geometric Decomposition. 590-599
Special Track: Industrial Applications of Data Mining
- Sylvain Ferrandiz, Marc Boullé: Supervised Evaluation of Dataset Partitions: Advantages and Practice. 600-609
- Lokesh Kumar Sharma, Om Prakash Vyas, Uma Shanker Tiwary, Ranjana Vyas: A Novel Approach of Multilevel Positive and Negative Association Rule Mining for Spatial Databases. 620-629
- Yinglong Xia, Shifeng Weng, Changshui Zhang, Shao Li: Mixture Random Effect Model Based Meta-analysis for Medical Data Mining. 630-640
- Shinichi Hamano, Masako Sato: Semantic Analysis of Association Rules via Item Response Theory. 641-650
- Keshri Verma, Om Prakash Vyas, Ranjana Vyas: Temporal Approach to Association Rule Mining Using T-Tree and P-Tree. 651-659
- Jong Gyu Han, Kwang Hoon Chi, Yeon Kwang Yeon: Aquaculture Feature Extraction from Satellite Image Using Independent Component Analysis. 660-666
- Sotiris B. Kotsiantis, George E. Tsekouras, C. Raptis, Panayiotis E. Pintelas: Modeling the Organoleptic Properties of Matured Wine Distillates. 667-673
- Sotiris B. Kotsiantis, George E. Tsekouras, Panayiotis E. Pintelas: Bagging Random Trees for Estimation of Tissue Softness. 674-681
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last updated on 2013-06-18T211851 by the dblp team