5. MLDM 2007: Leipzig, Germany

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
  
• Jiri Grim, Jan Hora:
  Minimum Information Loss Cluster Analysis for Categorical Data. 233-247
  
• Airel Pérez Suárez, José E. 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 Ramon 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 Hon Ching 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, Harou Yokota:
  Discovering Relations Among Entities from XML Documents. 899-910
  

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