Data Mining and Bioinformatics: First International Workshop, VDMB 2006, Seoul, Korea, September 11, 2006, Revised Selected Papers | SpringerLink
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Data Mining and Bioinformatics

First International Workshop, VDMB 2006, Seoul, Korea, September 11, 2006, Revised Selected Papers

  • Conference proceedings
  • © 2006

Overview

Editors:
  1. Mehmet M. Dalkilic

    1. School of Informatics, Indiana University, Bloomington,  

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    You can also search for this editor in PubMed   Google Scholar

  2. Sun Kim

    1. School of Informatics, Indiana University, Bloomington,  

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    You can also search for this editor in PubMed   Google Scholar

  3. Jiong Yang

    1. EECS Department, Case Western Reserve Univ., Cleveland, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4316)

Part of the book sub series: Lecture Notes in Bioinformatics (LNBI)

Included in the following conference series:

Conference proceedings info: VDMB 2006.

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About this book

This volume contains the papers presented at the inaugural workshop on Data Mining and Bioinformatics at the 32nd International Conference on Very Large Data Bases (VLDB). The purpose of this workshop was to begin bringing - gether researchersfrom database, data mining, and bioinformatics areas to help leverage respective successes in each to the others. We also hope to expose the richness, complexity, and challenges in this area that involves mining very large complex biological data that will only grow in size and complexity as geno- scale high-throughput techniques become more routine. The problems are s- ?ciently di?erent enough from traditional data mining problems (outside of life sciences) that novel approaches must be taken to data mine in this area. The workshop was held in Seoul, Korea, on September 11, 2006. We received 30 submissions in response to the call for papers. Each subm- sion was assigned to at least three members of the Program Committee. The Program Committee discussed the submission electronically, judging them on their importance, originality, clarity, relevance, and appropriateness to the - pected audience. The Program Committee selected 15 papers for presentation. These papers arein the areasof microarraydata analysis, bioinformaticssystem and text retrieval, application of gene expression data, and sequence analysis. Because of the format of the workshop and the high number of submissions, many good papers could not be included.

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Table of contents (16 papers)

  1. Front Matter

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  2. Bioinformatics at Microsoft Research

    • Simon Mercer
    Pages 1-1

  3. A Novel Approach for Effective Learning of Cluster Structures with Biological Data Applications

    • Miyoung Shin
    Pages 2-13

  4. Subspace Clustering of Microarray Data Based on Domain Transformation

    • Jongeun Jun, Seokkyung Chung, Dennis McLeod
    Pages 14-28

  5. Bayesian Hierarchical Models for Serial Analysis of Gene Expression

    • Seungyoon Nam, Seungmook Lee, Sanghyuk Lee, Seokmin Shin, Taesung Park
    Pages 29-39

  6. Applying Gaussian Distribution-Dependent Criteria to Decision Trees for High-Dimensional Microarray Data

    • Raymond Wan, Ichigaku Takigawa, Hiroshi Mamitsuka
    Pages 40-49

  7. A Biological Text Retrieval System Based on Background Knowledge and User Feedback

    • Meng Hu, Jiong Yang
    Pages 50-64

  8. Automatic Annotation of Protein Functional Class from Sparse and Imbalanced Data Sets

    • Jaehee Jung, Michael R. Thon
    Pages 65-77

  9. Bioinformatics Data Source Integration Based on Semantic Relationships Across Species

    • Badr Al-Daihani, Alex Gray, Peter Kille
    Pages 78-93

  10. An Efficient Storage Model for the SBML Documents Using Object Databases

    • Seung-Hyun Jung, Tae-Sung Jung, Tae-Kyung Kim, Kyoung-Ran Kim, Jae-Soo Yoo, Wan-Sup Cho
    Pages 94-105

  11. Identification of Phenotype-Defining Gene Signatures Using the Gene-Pair Matrix Based Clustering

    • Chung-Wein Lee, Shuyu Dan Li, Eric W. Su, Birong Liao
    Pages 106-119

  12. TP+Close: Mining Frequent Closed Patterns in Gene Expression Datasets

    • YuQing Miao, GuoLiang Chen, Bin Song, ZhiHao Wang
    Pages 120-130

  13. Exploring Essential Attributes for Detecting MicroRNA Precursors from Background Sequences

    • Yun Zheng, Wynne Hsu, Mong Li Lee, Limsoon Wong
    Pages 131-145

  14. A Gene Structure Prediction Program Using Duration HMM

    • Hongseok Tae, Eun-Bae Kong, Kiejung Park
    Pages 146-157

  15. An Approximate de Bruijn Graph Approach to Multiple Local Alignment and Motif Discovery in Protein Sequences

    • Rupali Patwardhan, Haixu Tang, Sun Kim, Mehmet Dalkilic
    Pages 158-169

  16. Discovering Consensus Patterns in Biological Databases

    • Mohamed Y. ElTabakh, Walid G. Aref, Mourad Ouzzani, Mohamed H. Ali
    Pages 170-184

  17. Comparison of Modularization Methods in Application to Different Biological Networks

    • Zhuo Wang, Xin-Guang Zhu, Yazhu Chen, Yixue Li, Lei Liu
    Pages 185-195

  18. Back Matter

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Other volumes

  1. Data Mining and Bioinformatics

Editors and Affiliations

  • School of Informatics, Indiana University, Bloomington,  

    Mehmet M. Dalkilic, Sun Kim

  • EECS Department, Case Western Reserve Univ., Cleveland, USA

    Jiong Yang

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