Call for Book Chapters
Book title: Feature Engineering for Machine Learning and Data Analytics
Publisher: The CRC Press, USA
The book will be in the Chapman & Hall/CRC Data Mining and Knowledge Discovery Series.
Details can be found here
Data Mining and Knowledge Discovery;
Regression Modeling and Analysis;
Classification Modeling and Analysis;
Blog Mining; Medical Data Mining; Data Cube and OLAP;
Bioinformatics, Mining of Microarray Gene Expression Data;
Knowledge Transfer Oriented Data Mining;
Mining of Business and Scientific Data; Mining and Management of Text/Image/Time-Series Data;
Data Warehousing; Workflow and Active Databases; Database Languages; Datalog and Deductive Databases; Database Theory
Data Mining; Database Management;
Advanced Database Systems; Advanced Data Mining; Data Warehousing; Data Structures and Algorithms; Theoretical Foundation of Computing;
Recent Sponsored Projects (more details available here)
Knowledge Transfer Oriented Data Mining with Focus on the
Decision Trees Knowledge Type, NSF
and Commercialization of Comparative Web Search Technologies, Wright State
for Timeline Events, Lexis-Nexis, 2006-2007.
Instrumentation of a Hierarchical Wireless Sensor Network Test-Bed for
Research and Education, NSF, 2005 -- 2007.
Biomarker Discovery from Microarray Gene Expression Time Series Data Using
Data Mining Approaches, Ohio Board of
Knowledge Management, Air Force Research Lab. 2003 -- 2004.
Collaborative Project: Development of An
Undergraduate Data Mining Course, NSF (DUE: 0231245), 2003.
Research Infrastructure Partnership, Biotechnology Research and Technology
Transfer (BRTT), Ohio. 2003.
Optimization in Reconfigurable Computing Systems. Air Force Research SBIR.
Resources on Contrast Mining, Emerging Pattern Mining, and Applications
2011 list of papers on Contrast Mining and Applications, and the corresponding bibtex file.
Presentation:Survey on Contrast Data Mining and Applications, December 2011..
2011 International Workshop on Contrast Data Mining and Applications..
Tutorial slides:Contrast Data Mining: Methods and Applications (delivered at 2007 IEEE ICDM, by
James Bailey and Guozhu Dong).
2007 list of papers on Mining of Emerging Patterns, Changes, Contrasts/Differences. .
C4BD2014: Workshop on Complexity for Big Data, at IEEE BigData 2014, Washington, D.C., U.S.A.
October 2014 Workshop co-chair
International Journal of Biomedical Data Mining, 2013 -- 2014
- Contrast Data Mining (ContrastDM) Workshop co-chair, 2011
co-chair, VLDB 2010.
chair, Second International Workshop on Social Computing, Behavioral
Modeling and Prediction, 2009.
- Area chair (Frequent Pattern
Mining), program committee of the 2009 SIAM SDM Conference.
- Tutorial on "Contrast Data
Mining: Methods and Applications" at the 2007 IEEE ICDM.
- Co-Chair, Program Committee,
Joint APWeb/WAIM Int'l Conference, 2007, Huangshan, Anhui, China.
- Editorial Board, International
Journal of Information Technology.
- Steering Committee, Int'l
Conference on Web-Age Information Management (WAIM).
- Co-Chair, Program Committee,
Int'l Conference on Web-Age Information Management (WAIM), 2003, Chengdu,
Committee Member of over 60 International Conferences, Including ACM KDD,
ACM SIGMOD, ACM PODS, IEEE ICDE, IEEE ICDM, PAKDD, SIAM SDM, VLDB, WAIM.
- Comparative Web Search System
and Method. United States Patent 7,912,847.
Issued on 3/22/2011. (Filed as 60/890,687. 2/20/07.) Hardik Lagad and Guozhu Dong.
- Method and apparatus for
classification of data by aggregating emerging patterns. United States
Patent 6,507,843. Issued on 1/14/03. Guozhu
Dong, Xiuzhen Zhang, Jinyan
Li, Limsoon Wong.
- Data item evaluation based on
the combination of multiple factors. United States Patent 6,499,023.
Issued on 12/24/02. Guozhu Dong, Richard Hull,
Bharat Kumar, Francois Llirbat, Eric Simon, Jianwen Su, Gang Zhou.
- Declarative workflow system
supporting side-effects. United States Patent 6,424,948. Issued on
7/23/02. Guozhu Dong, Richard Hull, Bharat
Kumar, Jianwen Su, and Gang Zhou.
Professional Society Membership
- IEEE (Senior Member), ACM
PhD Students and Masters Students
- Current Graduate Students:
Nicholas Skapura; Sanjeev Bhatta; Rupesh Singh;
Sai Kiran Pentukar
- Links to get information about our PhD program and admission requirements,
and application materials.
Graduates: James Bailey (97), Chaoyi Pang (99), Jinyan Li (01), Xiuzhen
Zhang (01), Chunyu Jiang (07), Lijun Chen (07), Shihong Mao
(07), Lei Duan* (08, Joint supervision with Prof
Tang, Sichuan University), Qian Han (13), Vahid Taslimitehrani (16)
Masters Graduates: Lyubomir Zagorchev
(00), Deshpande Kaustubh
(00), Yadong Li (00), Xue
Sun (02), Qun Sun (03), Hema
Kalluri (04), Madhukar
Suryaprakash (04), Nikhil Agrawal
(06), Hardik Lagad
(06), Ting Sa (08), Qian Han (10), Neil Fore
Last modified by Guozhu Dong, December 3, 2016.