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

  Theme
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).

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

1

Foundations and principles of data mining

2

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

3

Data and knowledge representation for data mining

4

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

5

Complexity, efficiency, and scalability issues in data mining

6

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

7

Statistics and probability in large-scale data mining

8

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

9

Integration of data warehousing, OLAP, and data mining

10

Artificial intelligence contributions to data mining

11

High performance and distributed data mining

12

Machine learning, pattern recognition, and automated scientific discovery

13

Quality assessment and interestingness metrics of data mining results

14

Process centric data mining and models of data mining process

15

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

16

Security and social impact of data mining

17

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.

 

Copyright ©2004-2005 jcis.org