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ORCID5. MLDM 2007: Leipzig, Germany
- Petra Perner:
Machine Learning and Data Mining in Pattern Recognition, 5th International Conference, MLDM 2007, Leipzig, Germany, July 18-20, 2007, Proceedings. Lecture Notes in Computer Science 4571, Springer 2007, ISBN 978-3-540-73498-7
Invited Talk
- Anil K. Jain:
Data Clustering: User's Dilemma. 1
Classification
- Magnus Ekdahl, Timo Koski:
On Concentration of Discrete Distributions with Applications to Supervised Learning of Classifiers. 2-16 - Marco Hülsmann, Christoph M. Friedrich:
Comparison of a Novel Combined ECOC Strategy with Different Multiclass Algorithms Together with Parameter Optimization Methods. 17-31 - Paul R. Trundle, Daniel Neagu
, Qasim Chaudhry:
Multi-source Data Modelling: Integrating Related Data to Improve Model Performance. 32-46 - Claudio Marrocco, Mario Molinara, Francesco Tortorella:
An Empirical Comparison of Ideal and Empirical ROC-Based Reject Rules. 47-60 - Longin Jan Latecki, Aleksandar Lazarevic, Dragoljub Pokrajac:
Outlier Detection with Kernel Density Functions. 61-75 - Vincent Yan Fu Tan, See-Kiong Ng:
Generic Probability Density Function Reconstruction for Randomization in Privacy-Preserving Data Mining. 76-90 - Tao Wang, Zhoujun Li, Yuejin Yan, Huowang Chen:
An Incremental Fuzzy Decision Tree Classification Method for Mining Data Streams. 91-103 - Gero Szepannek, Bernd Bischl, Claus Weihs:
On the Combination of Locally Optimal Pairwise Classifiers. 104-116
Feature Selection, Extraction and Dimensionality Reduction
- Ireneusz Czarnowski, Piotr Jedrzejowicz:
An Agent-Based Approach to the Multiple-Objective Selection of Reference Vectors. 117-130 - Moonhwi Lee, Cheong Hee Park:
On Applying Dimension Reduction for Multi-labeled Problems. 131-143 - Haibin Cheng, Haifeng Chen, Guofei Jiang, Kenji Yoshihira:
Nonlinear Feature Selection by Relevance Feature Vector Machine. 144-159 - Wenbo Cao, Robert M. Haralick:
Affine Feature Extraction: A Generalization of the Fukunaga-Koontz Transformation. 160-173
Clustering
- Sandro Saitta, Benny Raphael, Ian F. C. Smith:
A Bounded Index for Cluster Validity. 174-187 - Xuegang Hu, Dongbo Wang, Xindong Wu:
Varying Density Spatial Clustering Based on a Hierarchical Tree. 188-202 - Ivan O. Kyrgyzov, Olexiy O. Kyrgyzov, Henri Maître, Marine Campedel:
Kernel MDL to Determine the Number of Clusters. 203-217 - Tomoya Sakai, Atsushi Imiya, Takuto Komazaki, Shiomu Hama:
Critical Scale for Unsupervised Cluster Discovery. 218-232 - Jirí Grim, Jan Hora:
Minimum Information Loss Cluster Analysis for Categorical Data. 233-247 - Airel Pérez Suárez, José Eladio Medina-Pagola:
A Clustering Algorithm Based on Generalized Stars. 248-262
Support Vector Machine
- D. Valincius, Antanas Verikas, Marija Bacauskiene, Adas Gelzinis:
Evolving Committees of Support Vector Machines. 263-275 - Kuo-Ping Wu, Sheng-De Wang:
Choosing the Kernel Parameters for the Directed Acyclic Graph Support Vector Machines. 276-285 - Chaofan Sun, Ricardo Vilalta:
Data Selection Using SASH Trees for Support Vector Machines. 286-295 - Jun Jiang, Horace Ho-Shing Ip:
Dynamic Distance-Based Active Learning with SVM. 296-309
Transductive Inference
- Stijn Vanderlooy, Laurens van der Maaten, Ida G. Sprinkhuizen-Kuyper:
Off-Line Learning with Transductive Confidence Machines: An Empirical Evaluation. 310-323 - Michelangelo Ceci, Annalisa Appice, Nicola Barile, Donato Malerba:
Transductive Learning from Relational Data. 324-338
Association Rule Mining
- Yanbo J. Wang, Qin Xin, Frans Coenen:
A Novel Rule Ordering Approach in Classification Association Rule Mining. 339-348 - José Hernández Palancar, O. Fraxedas Tormo, J. Festón Cárdenas, Raudel Hernández-León:
Distributed and Shared Memory Algorithm for Parallel Mining of Association Rules. 349-363
Mining Spam, Newsgroups, Blogs
- José Ramón Méndez, B. Corzo, Daniel Glez-Peña, Florentino Fernández Riverola, Fernando Díaz:
Analyzing the Performance of Spam Filtering Methods When Dimensionality of Input Vector Changes. 364-378 - James Geller, Sapankumar Parikh, Sriram Krishnan:
Blog Mining for the Fortune 500. 379-391 - Hongbo Liu, Jiahai Yang, Jiaxin Wang, Yu Zhang:
A Link-Based Rank of Postings in Newsgroup. 392-403
Intrusion Detection and Networks
- Reza Sadoddin, Ali A. Ghorbani:
A Comparative Study of Unsupervised Machine Learning and Data Mining Techniques for Intrusion Detection. 404-418 - Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida:
Long Tail Attributes of Knowledge Worker Intranet Interactions. 419-433 - Alessandro Micarelli, Giuseppe Sansonetti:
A Case-Based Approach to Anomaly Intrusion Detection. 434-448 - Davide Ariu, Giorgio Giacinto, Roberto Perdisci:
Sensing Attacks in Computers Networks with Hidden Markov Models. 449-463
Frequent and Common Item Set Mining
- Robert Fuller, Mehmed M. Kantardzic:
FIDS: Monitoring Frequent Items over Distributed Data Streams. 464-478 - Fujiang Ao, Yuejin Yan, Jian Huang, Kedi Huang:
Mining Maximal Frequent Itemsets in Data Streams Based on FP-Tree. 479-489 - Yohji Shidara, Atsuyoshi Nakamura, Mineichi Kudo:
CCIC: Consistent Common Itemsets Classifier. 490-498
Mining Marketing Data
- Stephen L. France, J. Douglas Carroll:
Development of an Agreement Metric Based Upon the RAND Index for the Evaluation of Dimensionality Reduction Techniques, with Applications to Mapping Customer Data. 499-517 - Luis Aburto, Richard Weber:
A Sequential Hybrid Forecasting System for Demand Prediction. 518-532 - Céline Hébert, Bruno Crémilleux:
A Unified View of Objective Interestingness Measures. 533-547 - Laurent Candillier, Frank Meyer, Marc Boullé:
Comparing State-of-the-Art Collaborative Filtering Systems. 548-562
Structural Data Mining
- Kaspar Riesen, Vivian Kilchherr, Horst Bunke:
Reducing the Dimensionality of Vector Space Embeddings of Graphs. 563-573 - Shuang Yu, Chunping Li:
PE-PUC: A Graph Based PU-Learning Approach for Text Classification. 574-584 - Tae Sik Han, Seung-Kyu Ko, Jaewoo Kang:
Efficient Subsequence Matching Using the Longest Common Subsequence with a Dual Match Index. 585-600 - Gary Holness:
A Direct Measure for the Efficacy of Bayesian Network Structures Learned from Data. 601-615
Image Mining
- Li Cui, Hua Li:
A New Combined Fractal Scale Descriptor for Gait Sequence. 616-627 - Murat Ekinci, Murat Aykut:
Palmprint Recognition by Applying Wavelet Subband Representation and Kernel PCA. 628-642 - Zhiwen Yu, Shaohong Zhang, Hau-San Wong, Jiqi Zhang:
A Filter-Refinement Scheme for 3D Model Retrieval Based on Sorted Extended Gaussian Image Histogram. 643-652 - Daniel C. K. Ngai, Nelson H. C. Yung:
Fast-Maneuvering Target Seeking Based on Double-Action Q-Learning. 653-666 - Mikolaj Morzy:
Mining Frequent Trajectories of Moving Objects for Location Prediction. 667-680 - Doni Pracner, Nenad Tomasev, Milos Radovanovic, Mirjana Ivanovic:
Categorizing Evolved CoreWar Warriors Using EM and Attribute Evaluation. 681-693 - José Arturo Olvera-López, José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa:
Restricted Sequential Floating Search Applied to Object Selection. 694-702 - Konstantinos Zagoris, Nikos Papamarkos, Ioannis Koustoudis:
Color Reduction Using the Combination of the Kohonen Self-Organized Feature Map and the Gustafson-Kessel Fuzzy Algorithm. 703-715 - Juan-Carlos Gomez, Olac Fuentes:
A Hybrid Algorithm Based on Evolution Strategies and Instance-Based Learning, Used in Two-Dimensional Fitting of Brightness Profiles in Galaxy Images. 716-726 - Murat Ekinci, Murat Aykut, Eyüp Gedikli:
Gait Recognition by Applying Multiple Projections and Kernel PCA. 727-741
Medical, Biological, and Environmental Data Mining
- Henning Christiansen, Christina Mackeprang Dahmcke:
A Machine Learning Approach to Test Data Generation: A Case Study in Evaluation of Gene Finders. 742-755 - Eva Armengol:
Discovering Plausible Explanations of Carcinogenecity in Chemical Compounds. 756-769 - Hugo Silva, Hugo Gamboa, Ana L. N. Fred:
One Lead ECG Based Personal Identification with Feature Subspace Ensembles. 770-783 - Leonardo de Oliveira Martins, Erick Corrêa da Silva, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass:
Classification of Breast Masses in Mammogram Images Using Ripley's K Function and Support Vector Machine. 784-794 - Roberto Tronci, Giorgio Giacinto, Fabio Roli:
Selection of Experts for the Design of Multiple Biometric Systems. 795-809 - Sarunas Raudys, Antanas Mitasiunas:
Multi-agent System Approach to React to Sudden Environmental Changes. 810-823 - Attila Kertész-Farkas, András Kocsor, Sándor Pongor:
Equivalence Learning in Protein Classification. 824-837
Text and Document Mining
- Frans Coenen, Paul H. Leng, Robert Sanderson, Yanbo J. Wang:
Statistical Identification of Key Phrases for Text Classification. 838-853 - Guillaume Wisniewski, Francis Maes, Ludovic Denoyer, Patrick Gallinari:
Probabilistic Model for Structured Document Mapping. 854-867 - Saeed Mozaffari, Karim Faez, Volker Märgner:
Application of Fractal Theory for On-Line and Off-Line Farsi Digit Recognition. 868-882 - Jens Lehmann:
Hybrid Learning of Ontology Classes. 883-898 - Yangyang Wu, Qing Lei, Wei Luo, Haruo Yokota:
Discovering Relations Among Entities from XML Documents. 899-910
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