5. IDEAL 2004: Exeter, UK

Bioinformatics

• Carla S. Möller-Levet, Hujun Yin:
  Modelling and Clustering of Gene Expressions Using RBFs and a Shape Similarity Metric. 1-10
  
• Xing-Ming Zhao, De-Shuang Huang, Yiu-ming Cheung, Hong-Qiang Wang, Xin Huang:
  A Novel Hybrid GA/SVM System for Protein Sequences Classification. 11-16
  
• Wai-Ki Ching, Eric S. Fung, Michael K. Ng:
  Building Genetic Networks for Gene Expression Patterns. 17-24
  
• Jérôme Mikolajczak, Gérard Ramstein, Yannick Jacques:
  SVM-Based Classification of Distant Proteins Using Hierarchical Motifs. 25-30
  
• Jesús S. Aguilar-Ruiz, Francisco Azuaje:
  Knowledge Discovery in Lymphoma Cancer from Gene-Expression. 31-38
  
• Nripendra Lal Shrestha, Youhei Kawaguchi, Tadasuke Nakagawa, Takenao Ohkawa:
  A Method of Filtering Protein Surface Motifs Based on Similarity Among Local Surfaces. 39-45
  
• Zhiyuan Luo, Tony Bellotti, Alexander Gammerman:
  Qualified Predictions for Proteomics Pattern Diagnostics with Confidence Machines. 46-51
  
• Ali Al-Shahib, Chao He, Aik Choon Tan, Mark Girolami, David Gilbert:
  An Assessment of Feature Relevance in Predicting Protein Function from Sequence. 52-57
  
• Reda Younsi, Wenjia Wang:
  A New Artificial Immune System Algorithm for Clustering. 58-64
  
• Hongbin Wang, Phil F. Culverhouse:
  The Categorisation of Similar Non-rigid Biological Objects by Clustering Local Appearance Patches. 65-70
  
• Andy M. Yip, Edmond HaoCun Wu, Michael K. Ng, Tony F. Chan:
  Unsupervised Dense Regions Discovery in DNA Microarray Data. 71-77
  
• Swapna Sarvesvaran, Hujun Yin:
  Visualisation of Distributions and Clusters Using ViSOMs on Gene Expression Data. 78-84
  
• Jae-Hong Eom, Jeong Ho Chang, Byoung-Tak Zhang:
  Prediction of Implicit Protein-Protein Interaction by Optimal Associative Feature Mining. 85-91
  
• Janne Nikkilä, Christophe Roos, Samuel Kaski:
  Exploring Dependencies Between Yeast Stress Genes and Their Regulators. 92-98
  
• Ross D. King, Mohammed Ouali:
  Poly-transformation. 99-107
  
• Rebecca Thomson, Robert Esnouf:
  Prediction of Natively Disordered Regions in Proteins Using a Bio-basis Function Neural Network. 108-116
  
• Ian Berry, Julie Wilson, Chris Mayo, Jon Diprose, Robert Esnouf:
  The Effect of Image Compression on Classification and Storage Requirements in a High-Throughput Crystallization System. 117-124
  
• Byoung-Hee Kim, Seong-Bae Park, Byoung-Tak Zhang:
  PromSearch: A Hybrid Approach to Human Core-Promoter Prediction. 125-131
  

Data Mining and Knowledge Engineering

• Yuan-chin Ivan Chang, Sung-Chiang Lin:
  Synergy of Logistic Regression and Support Vector Machine in Multiple-Class Classification. 132-141
  
• Yi Zhao, Michael Small:
  Deterministic Propagation of Blood Pressure Waveform from Human Wrists to Fingertips. 142-147
  
• Tomoya Takamitsu, Takao Miura, Isamu Shioya:
  Pre-pruning Decision Trees by Local Association Rules. 148-151
  
• Yun Jiang, Zhanhuai Li, Yang Zhang, Qiang Zhang:
  A New Approach for Selecting Attributes Based on Rough Set Theory. 152-158
  
• Haorianto Cokrowijoyo Tjioe, David Taniar:
  A Framework for Mining Association Rules in Data Warehouses. 159-165
  
• Shoujian Yu, Jianwei Liu, Jiajin Le:
  Intelligent Web Service Discovery in Large Distributed System. 166-172
  
• Alan P. Reynolds, Graeme Richards, Victor J. Rayward-Smith:
  The Application of K-Medoids and PAM to the Clustering of Rules. 173-178
  
• Maneesha Singh, Akbar Javadi, Sameer Singh:
  A Comparison of Texture Teatures for the Classification of Rock Images. 179-184
  
• Maneesha Singh, Sameer Singh, Matthew Porter:
  A Mixture of Experts Image Enhancement Scheme for CCTV Images. 185-190
  
• Ben Wang, John Q. Gan:
  Integration of Projected Clusters and Principal Axis Trees for High-Dimensional Data Indexing and Query. 191-196
  
• Yuanjie Zheng, Jie Yang, Yue Zhou:
  Unsupervised Segmentation on Image with JSEG Using Soft Class Map. 197-202
  
• Fabrizio Angiulli, Clara Pizzuti, Massimo Ruffolo:
  DESCRY: A Density Based Clustering Algorithm for Very Large Data Sets. 203-210
  
• Shuqin Zhang, Dongxin Lu, Yongtian Yang:
  A Fuzzy Set Based Trust and Reputation Model in P2P Networks. 211-217
  
• Jessica JunLin Wang, Sameer Singh:
  Video Based Human Behavior Identification Using Frequency Domain Analysis. 218-224
  
• Jen Ye Goh, David Taniar:
  Mobile Data Mining by Location Dependencies. 225-231
  
• Vincent C. S. Lee, Alex Tze Hiang Sim:
  An Algorithm for Artificial Intelligence-Based Model Adaptation to Dynamic Data Distribution. 232-240
  
• Jong Kuk Kim, Ki-Young Lee, Myung Jin Bae:
  On a Detection of Korean Prosody Phrases Boundaries. 241-246
  
• Young-il Lee, Yong-Gi Kim:
  A Collision Avoidance System for Autonomous Ship Using Fuzzy Relational Products and COLREGs. 247-252
  
• Andrea Bosin, Nicoletta Dessì, Barbara Pes:
  Engineering Knowledge Discovery in Network Intrusion Detection. 253-258
  
• Moon Sun Shin, Eun Hee Kim, Keun Ho Ryu:
  False Alarm Classification Model for Network-Based Intrusion Detection System. 259-265
  
• Zeshan Kurd, Tim P. Kelly, Jim Austin:
  Exploiting Safety Constraints in Fuzzy Self-organising Maps for Safety Critical Applications. 266-271
  
• Jiyuan An, Yi-Ping Phoebe Chen, Qinying Xu:
  Surface Spatial Index Structure of High-Dimensional Space. 272-278
  
• André de Korvin, Chenyi Hu, Ping Chen:
  Generating and Applying Rules for Interval Valued Fuzzy Observations. 279-284
  
• Wei Ren, Sameer Singh:
  Automatic Video Shot Boundary Detection Using Machine Learning.. 285-292
  
• Laura Irina Rusu, J. Wenny Rahayu, David Taniar:
  On Building XML Data Warehouses. 293-299
  
• Wan-Song Zhang, Da-xin Liu, Jianpei Zhang:
  A Novel Method for Mining Frequent Subtrees from XML Data. 300-305
  
• Tien Dung Do, Siu Cheung Hui, Alvis Cheuk M. Fong:
  Mining Association Rules Using Relative Confidence. 306-313
  
• Wen-Bo Zhao, Ming-Yi Zhang, Li-Ming Wang, Ji-Yan Du, De-Shuang Huang:
  Multiple Classifiers Fusion System Based on the Radial Basis Probabilistic Neural Networks. 314-319
  
• Takuya Fukasawa, Jiahong Wang, Toyoo Takata, Masatoshi Miyazaki:
  An Effective Distributed Privacy-Preserving Data Mining Algorithm. 320-325
  
• Mónica Benito, Daniel Peña:
  Dimensionality Reduction with Image Data. 326-332
  
• Karl J. Brazier, Graeme Richards, Wenjia Wang:
  Implicit Fitness Sharing Speciation and Emergent Diversity in Tree Classifier Ensembles. 333-338
  
• Abdul A. Gill, George D. Smith, Anthony J. Bagnall:
  Improving Decision Tree Performance Through Induction- and Cluster-Based Stratified Sampling. 339-344
  
• Irena Spasic, Goran Nenadic, Sophia Ananiadou:
  Learning to Classify Biomedical Terms Through Literature Mining and Genetic Algorithms.. 345-351
  
• Chuan Wang, Christos Tjortjis:
  PRICES: An Efficient Algorithm for Mining Association Rules. 352-358
  
• Ying Li, Jianmin Jiang:
  Combination of SVM Knowledge for Microcalcification Detection in Digital Mammograms. 359-365
  
• Yu-Chin Liu, Ping-Yu Hsu:
  Char: An Automatic Way to Describe Characteristics of Data. 366-376
  
• Yoon-Yong Jeong, Bo-Ra Seok, Yong Ho Hwang, Hyun-Ki Hong:
  Two Methods for Automatic 3D Reconstruction from Long Un-calibrated Sequences. 377-383
  
• Roberto Ruiz, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos:
  Wrapper for Ranking Feature Selection. 384-389
  
• Muhammad Atif Tahir, Ahmed Bouridane, Fatih Kurugollu:
  Simultaneous Feature Selection and Weighting for Nearest Neighbor Using Tabu Search. 390-395
  
• Sung-Hee Park, Keun Ho Ryu:
  Fast Filtering of Structural Similarity Search Using Discovery of Topological Patterns. 396-401
  
• Sanguk Noh, Cheolho Lee, Keywon Ryu, Kyunghee Choi, Gihyun Jung:
  Detecting Worm Propagation Using Traffic Concentration Analysis and Inductive Learning. 402-408
  
• Ju Cheng Yang, Jin Wook Shin, Dong-Sun Park:
  Comparing Study for Detecting Microcalcifications in Digital Mammogram Using Wavelets. 409-415
  
• Mian M. Awais, Shahid Masud, Shafay Shamail, Junaid Akhtar:
  A Hybrid Multi-layered Speaker Independent Arabic Phoneme Identification System. 416-423
  
• Jesús Ariel Carrasco-Ochoa, José Francisco Martínez Trinidad:
  Feature Selection for Natural Disaster Texts Classification Using Testors. 424-429
  
• Bojian Liang, Jim Austin:
  Mining Large Engineering Data Sets on the Grid Using AURA. 430-436
  
• Behzad Moshiri, Farzan Rashidi:
  Self-tuning Based Fuzzy PID Controllers: Application to Control of Nonlinear HVAC Systems. 437-442
  
• Hyunsub Jung, Jaeyoung Yang, Joongmin Choi:
  Ontology-Based Web Navigation Assistant. 443-448
  
• Vincent C. S. Lee, Alex Tze Hiang Sim:
  A Hybrid Fuzzy-Neuro Model for Preference-Based Decision Analysis. 449-456
  
• Yaxin Bi, Terry J. Anderson, Sally I. McClean:
  Combining Rules for Text Categorization Using Dempster's Rule of Combination. 457-463
  
• James F. Smith III:
  Genetic Program Based Data Mining for Fuzzy Decision Trees. 464-470
  
• James F. Smith III:
  Automating Co-evolutionary Data Mining. 471-477
  
• Richard T. Freeman, Hujun Yin:
  Topological Tree for Web Organisation, Discovery and Exploration. 478-484
  
• JeongYon Shim:
  New Medical Diagnostic Method for Oriental Medicine Using BYY Harmony Learning. 485-490
  
• Sanguk Noh, Youngsoo Choi, Haesung Seo, Kyunghee Choi, Gihyun Jung:
  An Intelligent Topic-Specific Crawler Using Degree of Relevance. 491-498
  
• Emilio Corchado, Colin Fyfe, Lourdes Sáiz Bárcena, Ana María Lara Palma:
  Development of a Global and Integral Model of Business Management Using an Unsupervised Model. 499-504
  
• Levent Özgür, Tunga Güngör, Fikret S. Gürgen:
  Spam Mail Detection Using Artificial Neural Network and Bayesian Filter. 505-510
  
• Matthew Traherne, Sameer Singh:
  An Integrated Approach to Automatic Indoor Outdoor Scene Classification in Digital Images. 511-516
  
• Masrah Azmi-Murad, Trevor P. Martin:
  Using Fuzzy Sets in Contextual Word Similarity. 517-522
  
• Saif Ahmad, Tugba Taskaya-Temizel, Khurshid Ahmad:
  Summarizing Time Series: Learning Patterns in 'Volatile' Series. 523-532
  
• Amos J. Storkey, Michael Allan:
  Cosine Transform Priors for Enhanced Decoding of Compressed Images. 533-539
  
• Mazen Abdel-Salam, Yassin M. Y. Hasan, Mohammed Sayed, Salah Abdel-Sattar:
  Partial Discharge Classification Through Wavelet Packets of Their Modulated Ultrasonic Emission. 540-545
  
• Yang Liu, Soon-Thiam Khu, Dragan A. Savic:
  A Hybrid Optimization Method of Multi-objective Genetic Algorithm (MOGA) and K-Nearest Neighbor (KNN) Classifier for Hydrological Model Calibration. 546-551
  
• Paulo J. G. Lisboa, Shail Patel:
  Cluster-Based Visualisation of Marketing Data. 552-558
  
• Xiaoming Jin, Jianmin Wang, Jia-Guang Sun:
  Dynamic Symbolization of Streaming Time Series. 559-564
  
• Edmond HaoCun Wu, Michael K. Ng, Andy M. Yip, Tony F. Chan:
  A Clustering Model for Mining Evolving Web User Patterns in Data Stream Environment. 565-571
  
• Zhenyu Wang, Xin Yao, Yong Xu:
  An Improved Constructive Neural Network Ensemble Approach to Medical Diagnoses. 572-577
  
• Dave C. Trudgian:
  Spam Classification Using Nearest Neighbour Techniques. 578-585
  

Learning Algorithms and Systems

• Sheng Chen, Xia Hong, Chris J. Harris:
  Kernel Density Construction Using Orthogonal Forward Regression. 586-592
  
• Sheng Chen, Xunxian Wang, David J. Brown:
  Orthogonal Least Square with Boosting for Regression. 593-599
  
• LiMing Zhang, Xuming Huang:
  New Applications for Object Recognition and Affine Motion Estimation by Independent Component Analysis. 600-606
  
• Ke Chen, Sunny Yeung:
  Personalized News Reading via Hybrid Learning. 607-612
  
• Shang-Ming Zhou, John Q. Gan:
  Mercer Kernel, Fuzzy C-Means Algorithm, and Prototypes of Clusters. 613-618
  
• Arjun Chandra, Xin Yao:
  DIVACE: Diverse and Accurate Ensemble Learning Algorithm. 619-625
  
• Naohiro Ishii, Toshinori Deguchi, Hiroshi Sasaki:
  Parallel Processing for Movement Detection in Neural Networks with Nonlinear Functions. 626-633
  
• Yongguang Bao, Naohiro Ishii, Xiaoyong Du:
  Combining Multiple k-Nearest Neighbor Classifiers Using Different Distance Functions. 634-641
  
• Nadia Nedjah, Luiza de Macedo Mourelle:
  Finding Minimal Addition Chains Using Ant Colony. 642-647
  
• Michael Small:
  Combining Local and Global Models to Capture Fast and Slow Dynamics in Time Series Data. 648-653
  
• Richard M. Everson, Jonathan E. Fieldsend:
  A Variable Metric Probabilistic k-Nearest-Neighbours Classifier. 654-659
  
• Atsuhiro Takasu, Katsuaki Tanaka:
  Feature Word Tracking in Time Series Documents.. 660-665
  
• Hyoungjoo Lee, Sungzoon Cho:
  Combining Gaussian Mixture Models. 666-671
  
• Zhigang Zeng, De-Shuang Huang, Zengfu Wang:
  Global Convergence of Steepest Descent for Quadratic Functions. 672-677
  
• Xunxian Wang, David J. Brown:
  Boosting Orthogonal Least Squares Regression.. 678-683
  
• Jinwen Ma, Zhiyong Liu, Lei Xu:
  Local Separation Property of the Two-Source ICA Problem with the One-Bit-Matching Condition. 684-689
  
• Jinwen Ma, Bin Gao, Yang Wang, QianSheng Cheng:
  Two Further Gradient BYY Learning Rules for Gaussian Mixture with Automated Model Selection. 690-695
  
• Tom Downs, Jianxiong Wang:
  Improving Support Vector Solutions by Selecting a Sequence of Training Subsets. 696-701
  
• David Rohde, Michael Drinkwater, Marcus Gallagher, Tom Downs, Marianne Doyle:
  Machine Learning for Matching Astronomy Catalogues. 702-707
  
• Tom Downs, Adelina Tang:
  Boosting the Tree Augmented Naïve Bayes Classifier. 708-713
  
• Lih-Ren Jen, Yuh-Jye Lee:
  Clustering Model Selection for Reduced Support Vector Machines. 714-719
  
• Chien-Chung Chang, Yuh-Jye Lee:
  Generating the Reduced Set by Systematic Sampling. 720-725
  
• Vitaly Schetinin, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Jonathan E. Fieldsend, Trevor C. Bailey, Adolfo Hernandez:
  Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles. 726-732
  
• Ville Könönen:
  Policy Gradient Method for Team Markov Games. 733-739
  
• Ke Yin, Ian Davidson:
  An Information Theoretic Optimal Classifier for Semi-supervised Learning. 740-745
  
• Yuping Wang:
  Improving Evolutionary Algorithms by a New Smoothing Technique. 746-751
  
• Matthew C. Casey, Khurshid Ahmad:
  In-Situ Learning in Multi-net Systems. 752-757
  
• Mehmet Kaya, Reda Alhajj:
  Multi-objective Genetic Algorithm Based Method for Mining Optimized Fuzzy Association Rules. 758-764
  
• Minoo Aminian:
  Co-training from an Incremental EM Perspective.. 765-773
  
• Ahmed Rafat:
  Locally Tuned General Regression for Learning Mixture Models Using Small Incomplete Data Sets with Outliers and Overlapping Classes. 774-779
  

Financial Engineering

• Victor Fang, Vincent C. S. Lee:
  Credit Risks of Interest Rate Swaps: A Comparative Study of CIR and Monte Carlo Simulation Approach. 780-787
  
• Jonathan E. Fieldsend, John Matatko, Ming Peng:
  Cardinality Constrained Portfolio Optimisation. 788-793
  
• Jangmin O, Jae Won Lee, Sung-Bae Park, Byoung-Tak Zhang:
  Stock Trading by Modelling Price Trend with Dynamic Bayesian Networks. 794-799
  
• Rong-Chang Chen, Ming-Li Chiu, Ya-Li Huang, Lin-Ti Chen:
  Detecting Credit Card Fraud by Using Questionnaire-Responded Transaction Model Based on Support Vector Machines. 800-806
  
• Xiong-Fei Zhuang, Lai-Wan Chan:
  Volatility Forecasts in Financial Time Series with HMM-GARCH Models. 807-812
  

Agent Technologies

• Kyoung Min Kim, Sungsoo Lim, Sung-Bae Cho:
  User Adaptive Answers Generation for Conversational Agent Using Genetic Programming. 813-819
  
• Mark McCartney, David H. Glass:
  Comparing Measures of Agreement for Agent Attitudes. 820-826
  
• Gulden Uchyigit, Keith L. Clark:
  Hierarchical Agglomerative Clustering for Agent-Based Dynamic Collaborative Filtering. 827-832
  
• Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings:
  Learning Users' Interests in a Market-Based Recommender System. 833-840
  
• Johnathan M. E. Gabbai, W. Andy Wright, Nigel M. Allinson:
  Visualisation of Multi-agent System Organisations Using a Self-organising Map of Pareto Solutions. 841-848
  

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