Mining Complex Data 2009

General Aspects of Complex Data

• Brigitte Mathiak, Andreas Kupfer, Silke Eckstein:
  Using Layout Data for the Analysis of Scientific Literature. 3-22
  
• Vicenç Soler, Marta Prim:
  Extracting a Fuzzy System by Using Genetic Algorithms for Imbalanced Datasets Classification: Application on Down's Syndrome Detection. 23-39
  
• Emna Bahri, Stéphane Lallich, Nicolas Nicoloyannis, Mondher Maddouri:
  A Hybrid Approach of Boosting Against Noisy Data. 41-54
  
• Lamis Hawarah, Ana Simonet, Michel Simonet:
  Dealing with Missing Values in a Probabilistic Decision Tree during Classification. 55-74
  
• Thanh-Nghi Do, François Poulet:
  Kernel-Based Algorithms and Visualization for Interval Data Mining. 75-91
  

Rules Extraction

• Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
  Evaluating Learning Algorithms Composed by a Constructive Meta-learning Scheme for a Rule Evaluation Support Method. 95-111
  
• Marcela Xavier Ribeiro, André G. R. Balan, Joaquim Cezar Felipe, Agma Juci Machado Traina, Caetano Traina Jr.:
  Mining Statistical Association Rules to Select the Most Relevant Medical Image Features. 113-131
  
• Karine Zeitouni:
  From Sequence Mining to Multidimensional Sequence Mining. 133-152
  
• Zbigniew W. Ras, Li-Shiang Tsay, Agnieszka Dardzinska:
  Tree-Based Algorithms for Action Rules Discovery. 153-163
  

Graph Data Mining

• Stanislav Barton, Pavel Zezula:
  Indexing Structure for Graph-Structured Data. 167-188
  
• Christian Borgelt, Thorsten Meinl:
  Full Perfect Extension Pruning for Frequent Subgraph Mining. 189-205
  
• Nan Du, Bin Wu, Liutong Xu, Bai Wang, Pei Xin:
  Parallel Algorithm for Enumerating Maximal Cliques in Complex Network. 207-221
  
• Sen Qin, Guanzhong Dai:
  Community Finding of Scale-Free Network: Algorithm and Evaluation Criterion. 223-242
  
• Kazumi Saito, Takeshi Yamada, Kazuhiro Kazama:
  The k-Dense Method to Extract Communities from Complex Networks. 243-257
  

Data Clustering

• Toshihiro Kamishima, Shotaro Akaho:
  Efficient Clustering for Orders. 261-279
  
• Ahmad El Sayed, Hakim Hacid, Djamel A. Zighed:
  Exploring Validity Indices for Clustering Textual Data. 281-300
  

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