Communications and Discoveries from Multidisciplinary Data 2008

Thought, Communication, and Actions

• Lorenzo Magnani, Emanuele Bardone:
  Sharing Representations and Creating Chances through Cognitive Niche Construction. The Role of Affordances and Abduction. 3-40
  
• Lorenzo Magnani:
  Discovering and Communicating through Multimodal Abduction. 41-62
  

Creative Community Working on Multidisciplinary Data

• Xijin Tang, Yijun Liu, Wen Zhang:
  Augmented Analytical Exploitation of a Scientific Forum. 65-79
  
• Naohiro Matsumura, Yoshihiro Sasaki:
  Multi-Data Mining for Understanding Leadership Behavior. 81-94
  
• Wataru Sunayama:
  Discussion Visualization on a Bulletin Board System. 95-109
  
• Yasufumi Takama, Yuta Seo:
  Design of BBS with Visual Representation for Online Data Analysis. 111-126
  
• Wen Zhang, Xijin Tang:
  A Study on Web Clustering with Respect to XiangShan Science Conference. 127-136
  

Discoveries from Data and Application to Business

• Jia Hu, Ning Zhong:
  A Multilevel Integration Approach for E-Finance Portal Development. 139-155
  
• Noriyuki Kushiro, Yukio Ohsawa:
  Integrated Design Framework for Embedded GUI System. 157-170
  
• Jiajin Huang, Ning Zhong:
  A Unified Probabilistic Inference Model for Targeted Marketing. 171-186
  
• Yoshiharu Maeno, Kenichi Horie, Yukio Ohsawa:
  Computational Methods for Discoveries from Integrated Data - Human-Interactive Annealing for Multilateral Observation. 187-203
  
• Kenichi Horie, Yoshiharu Maeno, Yukio Ohsawa:
  Human-Interactive Annealing Process with Pictogram for Extracting New Scenarios for Patent Technology. 205-219
  
• Ajith Abraham, Crina Grosan, Stefan Tigan:
  Pharmaceutical Drug Design Using Dynamic Connectionist Ensemble Networks. 221-231
  
• Xingsen Li, Jun Li, Yuejin Zhang, Yong Shi:
  A Framework of Knowledge Management Platform for Middle and Small Business. 233-248
  

Mining Risks from Multidisciplinary Data

• Shoji Hirano, Shusaku Tsumoto:
  Discovery of Clusters from Proximity Data: An Approach Using Iterative Adjustment of Binary Classifications. 251-268
  
• Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
  Evaluating Learning Algorithms to Support Human Rule Evaluation with Predicting Interestingness Based on Objective Rule Evaluation Indices. 269-282
  
• Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama:
  Risk Mining for Infection Control. 283-297
  
• Wenbin Li, Ning Zhong, Chunnian Liu:
  Evaluating the Error Risk of Email Filters Based on ROC Curve Analysis. 299-314
  
• Akinori Abe, Norihiro Hagita, Michiko Furutani, Yoshiyuki Furutani, Rumiko Matsuoka:
  Categorized and Integrated Data Mining of Medical Data. 315-330
  
• Yi Peng, Gang Kou, Yong Shi, Zhengxin Chen:
  Privacy-Preserving Data Mining for Medical Data: Application of Data Partition Methods. 331-340