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Editorial: Special issue on mining low-quality data

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Florida Atlantic University, Boca Raton, FL, 33431, USA

    Xingquan Zhu & Taghi M. Khoshgoftaar

  2. Graduate University, Chinese Academy of Sciences, Beijing, China

    Xingquan Zhu

  3. Department of Computer Science, State University of New York, Albany, NY, 12222, USA

    Ian Davidson

  4. Department of Computer Science, Guangxi Normal University, Guilin, China

    Shichao Zhang

Authors
  1. Xingquan Zhu
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  2. Taghi M. Khoshgoftaar
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  3. Ian Davidson
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  4. Shichao Zhang
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Additional information

Xingquan Zhu is an Assistant Professor in the Department of Computer Science and Engineering, Florida Atlantic University, Boca Raton, FL. He received his Ph.D. degree in computer science from Fudan University, Shanghai, P.R. China, in 2001. He spent 4 months with Microsoft Research Asia, Beijing, P.R. China, where he was working on content-based image retrieval with relevance feedback. From 2001 to 2002, he was a Postdoctoral Associate in the Department of Computer Science, Purdue University, West Lafayette, IN. From Oct., 2002 to July 2006, he was a Research Assistant Professor in the Department of Computer Science, University of Vermont, Burlington VT. His research interests include data mining, machine learning, data quality, multimedia computing, and information retrieval.

Taghi M. Khoshgoftaar is a Professor in the Department of Computer Science and Engineering, Florida Atlantic University and the Director of the Graduate Programs and Research. His research interests are in software engineering, software metrics, software reliability and quality engineering, computational intelligence applications, computer security, computer performance evaluation, data mining, machine learning, statistical modeling, and intelligent data analysis. He has published more than 300 refereed papers in these areas. He is a member of the IEEE, IEEE Computer Society, and IEEE Reliability Society. He was the General Chair of the IEEE International Conference on Tools with Artificial Intelligence 2005.

Ian Davidson is an Assistant Professor in Computer Science at the State University of New York (SUNY) at Albany. His research interests are in the area of designing efficient data mining, machine learning, and artificial intelligence algorithms and their applications to novel areas. He has published over 30 papers in various conferences and journals and holds a Ph.D. in computer science from Monash University, Australia.

Shichao Zhang is a Senior Research Fellow in the Faculty of Information Technology at the University of Technology, Sydney, and a Professor at the Guangxi Normal University. He received the Ph.D. degree in computer science from Deakin University, Australia. His research interests include data analysis and smart pattern discovery. He has published over 30 international journal papers (including 6 in IEEE/ACM Transactions, 2 in Information Systems, 1 in Data Mining and Knowledge Discovery, 6 in IEEE magazines) and over 30 international conference papers (including 2 ICML papers, 1 AAAI paper, 1 KDD paper, and 3 FUZZ-IEEE/AAMAS papers). He has won 4 China NSF/863 grants, 3 Australian large ARC grants, and 2 Australian small ARC grants. He is a Senior Member of the IEEE, a Member of the ACM, and serving as an Associate Editor for Knowledge and Information Systems and IEEE Intelligent Informatics Bulletin.

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Zhu, X., Khoshgoftaar, T.M., Davidson, I. et al. Editorial: Special issue on mining low-quality data. Knowl Inf Syst 11, 131–136 (2007). https://doi.org/10.1007/s10115-006-0058-y

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  • DOI: https://doi.org/10.1007/s10115-006-0058-y

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