Some Recent Papers:
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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%
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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.
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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.
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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.
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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.
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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.
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