Original language | English (US) |
---|---|
Article number | 4553785 |
Pages (from-to) | 1009-1012 |
Number of pages | 4 |
Journal | IEEE Transactions on Knowledge and Data Engineering |
Volume | 20 |
Issue number | 8 |
DOIs | |
State | Published - Aug 2008 |
ASJC Scopus subject areas
- Information Systems
- Computer Science Applications
- Computational Theory and Mathematics
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In: IEEE Transactions on Knowledge and Data Engineering, Vol. 20, No. 8, 4553785, 08.2008, p. 1009-1012.
Research output: Contribution to journal › Editorial › peer-review
}
TY - JOUR
T1 - Guest editors' introduction
T2 - Special section on intelligence and security informatics
AU - Zeng, Daniel Dajun
AU - Chen, Hsinchun
AU - Wang, Fei Yue
AU - Kargupta, Hillol
N1 - Funding Information: Hillol Kargupta received the PhD degree in computer science from University of Illinois at Urbana-Champaign in 1996. He is an associate professor in the Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County. He is also a cofounder of AGNIK LLC, a data mining com-pany for distributed, mobile, and embedded devices. His research interests include distrib-uted data mining, data mining in ubiquitous environment, and privacy-preserving data mining. Dr. Kargupta won a US National Science Foundation (NSF) CAREER award in 2001 for his research on ubiquitous and distributed data mining. He, along with his coauthors, received the best paper award at the 2003 IEEE International Conference on Data Mining for a paper on privacy-preserving data mining. He won the 2000 TRW Foundation Award, the 1997 Los Alamos Award for Outstanding Technical Achievement, 1996 SIAM Annual Best Student Paper Award. His research has been funded by the US NSF, US Air Force, US Department of Homeland Security, NASA, and various other organizations. He has published more than 90 peer-reviewed articles in journals, conferences, and books. He has coedited several books including Advances in Distributed and Parallel Knowledge Discovery and Data Mining: Next Generation Challenges and Future Directions (AAAI/MIT Press). He is an associate editor of the IEEE Transactions on Knowledge and Data Engineering, the IEEE Transactions on Systems, Man, and Cybernetics, Part B, and the Statistical Analysis and Data Mining Journal. He regularly serves on the organizing and program committees of many data mining conferences. He is a senior member of the IEEE. More information about him can be found at http://www.csee.umbc.edu/~hillol. Funding Information: We would like to acknowledge research support from US National Science Foundation grant #IIS-0428241, NNSFC #60573078, 60621001, CAS #2F05N01, 2F07C01, and MOST #2006AA010106, 2006CB705500.
PY - 2008/8
Y1 - 2008/8
UR - http://www.scopus.com/inward/record.url?scp=46649099899&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=46649099899&partnerID=8YFLogxK
U2 - 10.1109/TKDE.2008.124
DO - 10.1109/TKDE.2008.124
M3 - Editorial
AN - SCOPUS:46649099899
SN - 1041-4347
VL - 20
SP - 1009
EP - 1012
JO - IEEE Transactions on Knowledge and Data Engineering
JF - IEEE Transactions on Knowledge and Data Engineering
IS - 8
M1 - 4553785
ER -