Dr. David J. Haglin

Some Recent Papers:

• Haglin, D. J., K. R. Mayes, A. M. Manning, J. Feo, J. R. Gurd, M. Elliot and J. A. Keane, “Factors Affecting the Performance of Parallel Mining of Minimal Unique Itemsets on Diverse Architectures,” Concurrency and Computation: Practice and Experience, to appear.
• Paraskevas Yiapanis, David J. Haglin, Anna M. Manning, Ken Mayes, and John Keane, “Variable-grain and Dynamic Work Generation for Minimal Unique Itemset Mining,” in 2008 IEEE International Conference on Cluster Computing (Cluster 2008), Tsukuba, Japan, 29 Sep - 1 Oct 2008.
[Acceptance Rate] = 28/92 = 30%
• Manning, Anna M., David J. Haglin and John A. Keane, “A Recursive Search Algorithm for Statistical Disclosure Assessment,” Data Mining and Knowledge Discovery, Vol 16 number 2, pp. 165-196, April 2008.   ISI Impact Factor (2006): 2.295
• David J. Haglin and Anna M. Manning, “On Minimal Infrequent Itemset Mining,” in 2007 International Conference on Data Mining (DMIN'07), Las Vegas, June 25-28, 2007, pp. 141-147.
  
  • Slides for a talk given at the University of Manchester on 17-July-2007.
• Dan Singer, David J. Haglin and Anna M. Manning, “Towards Average Case Analysis of Itemset Mining,” in 2007 International Conference on Data Mining (DMIN'07), Las Vegas, June 25-28, 2007, pp. 127-133.
• Jon Hakkila, Timothy W. Giblin, Kevin C. Young, Stephen P. Fuller, Christopher D. Peters, Chris Nolan, Sarah M. Sonnett, David J. Haglin, and Richard. J. Roiger, “A Gamma-Ray Burst Database of BATSE Spectral Lag and Internal Luminosity Function Values,” The Astrophysical Journal Supplement Series, Vol. 169 no. 1, pp. 62-74, 2007.
• K.R. Mayes, M.J. Elliot, A.M. Manning, D. Haglin and J.R. Gurd, “A distributed search infrastructure for statistical disclosure on a grid,” in Second International Conference on e-Social Science, Manchester, UK, June, 2006, pp. 28-30.
• Manning, A. M. and D. J. Haglin, “A new algorithm for finding minimal sample uniques for use in statistical disclosure assessment,” in IEEE International Conference on Data Mining (ICDM05), November, 2005, pp. 290-297.
  [Acceptance Rate] = 69/630 = 11%
• D. Haglin, R. Roiger, J. Hakkila and T. Giblin, "A Tool for Public Analysis of Scientific Data," Data Science Journal, vol 4, pp. 39-53, August 2005.
• Hakkila, Jon, T. W. Giblin, K. C. Young, D. J. Haglin, R. J. Roiger, J. P. Norris, and J. D. Bonnell, " Probing GRB Jet Structure from Prompt Emission," Chinese Journal of Astronomy and Astrophysics, vol 5 Suppl., pp. 171-176, 2005.   [ PDF ]

My Data Mining Software:

• Subversion access to my software is available at: http://theory.cs.mnsu.edu/websvn
• Go directly to minit