Accepted Papers

International Workshop on Data Mining in Bioinformatics with

Sixth 2006 IEEE International Conference on Data Mining

We have accepted 25 of 91 papers submitted to the workshop. The Acceptance Rate for the workshop is 27%. We would like to thank all the researchers who submitted their work to the workshop to make it a success. The accepted papers are:

S2212 Francisco Azuaje, Haiying Wang, Huiru Zheng, Olivier Bodenreider, and Alban Chesneau, "Predictive Integration of Gene Ontology-Driven Similarity and Functional Interactions".
S2217 Thomas Wolf, Benedikt Brors, Thomas Hofmann, and Elisabeth Georgii, "Global Biclustering of Microarray Data".
S2231 Michael Ng, "Subspace Clustering of High-dimensional SNP Data with Application to Genomics".
S2219 Shihua Zhang, Hong-Wei Liu, Xue-Mei Ning, and Xiang-Sun Zhang, "A Graph-Theoretic Method for Mining Functional Modules in Large Sparse Protein Interaction Networks".
S2255 Margherita Berardi, Donato Malerba, and Marcella Attimonelli, "Mining Information Extraction Models for HmtDB annotation".
S2252 Tuan Pham, "Robust Feature Extraction and Reduction of Mass Spectrometry Data for Cancer Classification".
S2244 Frank Klawonn, Claudia Hundertmark, and Lothar Jänsch, "A Maximum Likelihood Approach to Noise Estimation for Intensity Measurements in Biology".
S2243 Claudia Plant, Melanie Osl, Bernhard Tilg, and Christian Baumgartner, "Feature Selection on High Throughput SELDI-TOF Mass-Spectrometry Data for Identifying Biomarker Candidates in Ovarian and Prostate Cancer".
S2237 Chang hun You, Lawrence Holder, and Diane Cook, "Application of Graph-based Data Mining to Metabolic Pathways".
S2224 Giuseppe Di Fatta, Antonino Fiannaca, Riccardo Rizzo, Alfonso Maurizio Urso, Michael R. Berthold, and Salvatore Gaglio, "Context-Aware Visual Exploration of Molecular Databases".
S2216 Li-Juan Zhang, Zhou-Jun Li, and Huo-Wang Chen, "Minimum Redundancy Gene Selection Based on Grey Relational Analysis".
S2210 Patrick Ma and Chun Chung Chan, "Inference of Gene Regulatory Networks from Time Series Expression Data: A Data Mining Approach".
S2207 Meghana Deodhar and Joydeep Ghosh, "Consensus Clustering for Detection of Overlapping Clusters in Microarray Data".
S2205 Pai-Hsi Huang and Vladimir Pavlovic, "Sparse Logistic Classifiers for Interpretable Protein Homology Detection".
S2202 Gunjan Gupta, Alexander Liu, and Joydeep Ghosh, "Automated Hierarchical Density Shaving: A robust, automated clustering and visualization framework for large biological datasets".
S2234 Cui Lin, Shiyong Lu, Xuwei Liang, and Jing Hua, "GCA: a Coclustering Algorithm for Thalamo-Cortico-Thalamic Connectivity Analysis".
S2251 Haixia Li and R. Krishna Murthy Karuturi, "Significance Analysis and Improved Discovery of Differentially Co-expressed Gene Sets in Microarray Data".
S2250 Zhengzheng Xing and Dan Wu, "Modeling Multiple Time Units Delayed Gene Regulatory Network Using Dynamic Bayesian Network".
S2228 Yuanchen He, Yuchun Tang, Yan-Qing Zhang, and Rajshekhar Sunderraman, "Fuzzy-Granular Gene Selection from Microarray Expression Data".
S2226 Young-Rae Cho, Woochang Hwang, and Aidong Zhang, "Identification of Overlapping Functional Modules in Protein Interaction Networks: Information Flow-based Approach".
S2204 Panagiotis Papapetrou, Gary Benson, and George Kollios, "Discovering Frequent Poly-Regions in DNA Sequences".
S2246 Brigitte Mathiak, Andreas Kupfer, Tatjana Scope, Britta Stoermann, and Silke Eckstein, "Using image classification for biomedical literature retrieval".
S2225 Sun Kim, Kwangmin Choi, and Amit Saple, "Genome Data Type: a Vehicle to Deliver a Genome Comparison System on the Web".
DM669 Mutlu Mete, Xiaowei Xu, Chun-Yang Fan, and Gal Shafirstein, "A Machine Learning Approach for Automatic Delineation of Head and Neck Cancer in Histological Slides".
DM421 Sam Chao, "Uncovering Potential Attribute Relevance via MIA-Processing in Data Mining".

[ICDM 2006] [BIOMAP Project] [PO Project] [EXEL] [DKE Lab] [CEEBI]

International Workshop on Data Mining in Bioinformatics with

Sixth 2006 IEEE International Conference on Data Mining

We have accepted 25 of 91 papers submitted to the workshop. The Acceptance Rate for the workshop is 27%. We would like to thank all the researchers who submitted their work to the workshop to make it a success. The accepted papers are:

S2212 Francisco Azuaje, Haiying Wang, Huiru Zheng, Olivier Bodenreider, and Alban Chesneau, "Predictive Integration of Gene Ontology-Driven Similarity and Functional Interactions".

S2217 Thomas Wolf, Benedikt Brors, Thomas Hofmann, and Elisabeth Georgii, "Global Biclustering of Microarray Data".

S2231 Michael Ng, "Subspace Clustering of High-dimensional SNP Data with Application to Genomics".

S2219 Shihua Zhang, Hong-Wei Liu, Xue-Mei Ning, and Xiang-Sun Zhang, "A Graph-Theoretic Method for Mining Functional Modules in Large Sparse Protein Interaction Networks".

S2255 Margherita Berardi, Donato Malerba, and Marcella Attimonelli, "Mining Information Extraction Models for HmtDB annotation".

S2252 Tuan Pham, "Robust Feature Extraction and Reduction of Mass Spectrometry Data for Cancer Classification".

S2244 Frank Klawonn, Claudia Hundertmark, and Lothar Jänsch, "A Maximum Likelihood Approach to Noise Estimation for Intensity Measurements in Biology".

S2243 Claudia Plant, Melanie Osl, Bernhard Tilg, and Christian Baumgartner, "Feature Selection on High Throughput SELDI-TOF Mass-Spectrometry Data for Identifying Biomarker Candidates in Ovarian and Prostate Cancer".

S2237 Chang hun You, Lawrence Holder, and Diane Cook, "Application of Graph-based Data Mining to Metabolic Pathways".

S2224 Giuseppe Di Fatta, Antonino Fiannaca, Riccardo Rizzo, Alfonso Maurizio Urso, Michael R. Berthold, and Salvatore Gaglio, "Context-Aware Visual Exploration of Molecular Databases".

S2216 Li-Juan Zhang, Zhou-Jun Li, and Huo-Wang Chen, "Minimum Redundancy Gene Selection Based on Grey Relational Analysis".

S2210 Patrick Ma and Chun Chung Chan, "Inference of Gene Regulatory Networks from Time Series Expression Data: A Data Mining Approach".

S2207 Meghana Deodhar and Joydeep Ghosh, "Consensus Clustering for Detection of Overlapping Clusters in Microarray Data".

S2205 Pai-Hsi Huang and Vladimir Pavlovic, "Sparse Logistic Classifiers for Interpretable Protein Homology Detection".

S2202 Gunjan Gupta, Alexander Liu, and Joydeep Ghosh, "Automated Hierarchical Density Shaving: A robust, automated clustering and visualization framework for large biological datasets".

S2234 Cui Lin, Shiyong Lu, Xuwei Liang, and Jing Hua, "GCA: a Coclustering Algorithm for Thalamo-Cortico-Thalamic Connectivity Analysis".

S2251 Haixia Li and R. Krishna Murthy Karuturi, "Significance Analysis and Improved Discovery of Differentially Co-expressed Gene Sets in Microarray Data".

S2250 Zhengzheng Xing and Dan Wu, "Modeling Multiple Time Units Delayed Gene Regulatory Network Using Dynamic Bayesian Network".

S2228 Yuanchen He, Yuchun Tang, Yan-Qing Zhang, and Rajshekhar Sunderraman, "Fuzzy-Granular Gene Selection from Microarray Expression Data".

S2226 Young-Rae Cho, Woochang Hwang, and Aidong Zhang, "Identification of Overlapping Functional Modules in Protein Interaction Networks: Information Flow-based Approach".

S2204 Panagiotis Papapetrou, Gary Benson, and George Kollios, "Discovering Frequent Poly-Regions in DNA Sequences".

S2246 Brigitte Mathiak, Andreas Kupfer, Tatjana Scope, Britta Stoermann, and Silke Eckstein, "Using image classification for biomedical literature retrieval".

S2225 Sun Kim, Kwangmin Choi, and Amit Saple, "Genome Data Type: a Vehicle to Deliver a Genome Comparison System on the Web".

DM669 Mutlu Mete, Xiaowei Xu, Chun-Yang Fan, and Gal Shafirstein, "A Machine Learning Approach for Automatic Delineation of Head and Neck Cancer in Histological Slides".

DM421 Sam Chao, "Uncovering Potential Attribute Relevance via MIA-Processing in Data Mining".