default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID4. MLDM 2005: Leipzig, Germany
- Petra Perner, Atsushi Imiya:
Machine Learning and Data Mining in Pattern Recognition, 4th International Conference, MLDM 2005, Leipzig, Germany, July 9-11, 2005, Proceedings. Lecture Notes in Computer Science 3587, Springer 2005, ISBN 3-540-26923-1
Classification and Model Estimation
- Jae-Pil Ko
, E. Kim:
On ECOC as Binary Ensemble Classifiers. 1-10 - 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 - Baibo Zhang, Changshui Zhang:
Finite Mixture Models with Negative Components. 31-41 - 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 - Johan Huysmans, Bart Baesens, Jan Vanthienen:
A Comprehensible SOM-Based Scoring System. 80-89
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 - Robert M. Haralick, Rave Harpaz:
Linear Manifold Clustering. 132-141 - Vladimir Nikulin, Alexander J. Smola:
Universal Clustering with Regularization in Probabilistic Space. 142-152 - Silke Jänichen, Petra Perner:
Acquisition of Concept Descriptions by Conceptual Clustering. 153-162
Applications of Clustering
- William Sia, Mihai M. Lazarescu:
Clustering Large Dynamic Datasets Using Exemplar Points. 163-173 - 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 - Fabien Scalzo, Justus H. Piater:
Unsupervised Learning of Visual Feature Hierarchies. 243-252 - 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 - Keith A. Pray, Carolina Ruiz:
Mining Expressive Temporal Associations from Complex Data. 384-394 - 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 C. 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
- Halima Bahi, Mokhtar Sellami:
Neural Expert Model Applied to Phonemes Recognition. 507-515 - 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
- Lee Gillam, Khurshid Ahmad:
Pattern Mining Across Domain-Specific Text Collections. 570-579 - Masoud Makrehchi, Mohamed S. Kamel:
Text Classification Using Small Number of Features. 580-589 - 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 - Josenildo Costa da Silva, Matthias Klusch:
Inference on Distributed Data Clustering. 610-619 - 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 - Isabelle Bichindaritz, Sarada Akkineni:
Concept Mining for Indexing Medical Literature. 682-691
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-12-04 22:06 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
