WDM 2005
1st International Workshop on Data Mining
in conjunction with
8th Joint Conference on Information Sciences
(JCIS 2005)
July 21 - 26, 2005, Salt Lake City, Utah

Call for Papers

The 1st International Workshop on Data Mining (WDM) provides an international forum for the sharing of original research results and practical development experiences among researchers and application developers from different data mining related areas, such as machine learning, automated scientific discovery, statistics, pattern recognition, knowledge acquisition, soft computing, databases and data warehousing, data visualization, and knowledge-based systems. The target audiences will be university researchers, scientists, industry professionals, and graduate students who need to become acquainted with new theories and technologies in data mining, and to all those who wish to gain a detailed technical understanding of what data mining involves. The workshop will be held in conjunction with the 8th Joint Conference on Information Sciences (JCIS 2005).

We invite paper submissions that include but are not limited to the following topics:


Foundations and principles of data mining


Data mining algorithms and methods in traditional areas (such as classification, clustering, probabilistic modeling, and association analysis), and in new areas


Data and knowledge representation for data mining


Mining textual, semi-structured, unstructured, spatial, temporal, multimedia, and Web data


Complexity, efficiency, and scalability issues in data mining


Data pre-processing, data reduction, feature selection and feature transformation


Statistics and probability in large-scale data mining


Soft computing (including neural networks, fuzzy logic, evolutionary computation, and rough sets) and uncertainty management for data mining


Integration of data warehousing, OLAP, and data mining


Artificial intelligence contributions to data mining


High performance and distributed data mining


Machine learning, pattern recognition, and automated scientific discovery


Quality assessment and interestingness metrics of data mining results


Process centric data mining and models of data mining process


Human-machine interaction and visualization in data mining, and visual data mining


Security and social impact of data mining


Emerging data mining applications, such as electronic commerce, medicine, biotechnology, Web intelligence, quality management, and intelligent learning database systems

   To submit your paper, please click on Paper Submission.


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