David J. Haglin

Publication Activity (10 Years)

Years Active: 1991-2017
Publications (10 Years): 3

Top Topics

Closed Itemsets

Condensed Representations

Visual Analytics

Top Venues

IPDPS Workshops

PAKDD Workshops

Publications

Roberto Gioiosa, Antonino Tumeo, Jian Yin, Thomas Warfel, David J. Haglin, Santiago Betelú
Exploring DataVortex Systems for Irregular Applications. IPDPS (2017)
Vito Giovanni Castellana, Marco Minutoli, Shreyansh Bhatt, Khushbu Agarwal, Arthur Bleeker, John Feo, Daniel G. Chavarría-Miranda, David J. Haglin
High-Performance Data Analytics Beyond the Relational and Graph Data Models with GEMS. IPDPS Workshops (2017)
Roberto Gioiosa, Thomas Warfel, Jian Yin, Antonino Tumeo, David J. Haglin
Exploring Data Vortex Network Architectures. Hot Interconnects (2016)
Alessandro Morari, Jesse Weaver, Oreste Villa, David J. Haglin, Antonino Tumeo, Vito Giovanni Castellana, John Feo
High-Performance, Distributed Dictionary Encoding of RDF Datasets. CLUSTER (2015)
Pak Chung Wong, David J. Haglin, David Gillen, Daniel G. Chavarría-Miranda, Vito Giovanni Castellana, Cliff A. Joslyn, Alan R. Chappell, Song Zhang
A visual analytics paradigm enabling trillion-edge graph exploration. LDAV (2015)
Eric L. Goodman, Edward Jimenez, Cliff A. Joslyn, David J. Haglin, Sinan Al-Saffar, Dirk Grunwald
Optimizing graph queries with graph joins and Sprinkle SPARQL. IEEE BigData (2014)
David J. Haglin, Lawrence B. Holder
Combining Structure and Property Values is Essential for Graph-Based Learning. IPDPS Workshops (2013)
Alan R. Chappell, Sutanay Choudhury, John Feo, David J. Haglin, Alessandro Morari, Sumit Purohit, Karen Schuchardt, Antonino Tumeo, Jesse Weaver, Oreste Villa
Toward a data scalable solution for facilitating discovery of scientific data resources. DISCS@SC (2013)
David J. Haglin, Robert Adolf, Greg E. Mackey
Scalable, Multithreaded, Partially-in-Place Sorting. IPDPS Workshops (2013)
Nurul Fariza Zulkurnain, David J. Haglin, John A. Keane
DisClose: Discovering Colossal Closed Itemsets via a Memory Efficient Compact Row-Tree. PAKDD Workshops (2012)
Chad Scherrer, Ambuj Tewari, Mahantesh Halappanavar, David J. Haglin
Feature Clustering for Accelerating Parallel Coordinate Descent CoRR (2012)
Eric L. Goodman, Edward Jimenez, David Mizell, Sinan Al-Saffar, Bob Adolf, David J. Haglin
High-Performance Computing Applied to Semantic Databases. ESWC (2) (2011)
Jace Mogill, David J. Haglin
Toward Parallel Document Clustering. IPDPS Workshops (2011)
Eric L. Goodman, David J. Haglin, Chad Scherrer, Daniel G. Chavarría-Miranda, Jace Mogill, John Feo
Hashing strategies for the Cray XMT. IPDPS Workshops (2010)
David J. Haglin, Kenneth R. Mayes, Anna M. Manning, John Feo, John R. Gurd, Mark Elliot, John A. Keane
Factors affecting the performance of parallel mining of minimal unique itemsets on diverse architectures. Concurr. Comput. Pract. Exp. 21 (9) (2009)
Anna M. Manning, David J. Haglin, John A. Keane
A recursive search algorithm for statistical disclosure assessment. Data Min. Knowl. Discov. 16 (2) (2008)
Paraskevas Yiapanis, David J. Haglin, Anna M. Manning, Ken Mayes, John A. Keane
Variable-grain and dynamic work generation for Minimal Unique Itemset mining. CLUSTER (2008)
Dan Singer, David J. Haglin, Anna M. Manning
Towards Average Case Analysis of Itemset Mining. DMIN (2007)
David J. Haglin, Anna M. Manning
On Minimal Infrequent Itemset Mining. DMIN (2007)
David J. Haglin, Richard J. Roiger, Jon Hakkila, Timothy W. Giblin
A tool for public analysis of scientific data. Data Sci. J. 4 (2005)
Anna M. Manning, David J. Haglin
A New Algorithm for Finding Minimal Sample Uniques for Use in Statistical Disclosure Assessment. ICDM (2005)
David J. Haglin
Technical report column. SIGACT News 33 (2) (2002)
David J. Haglin, Rupert W. Ford
The Message-Minimizing Load Redistribution Problem. J. Univers. Comput. Sci. 7 (4) (2001)
David J. Haglin
Technical Report Column. SIGACT News 31 (1) (2000)
Marty J. Wolf, David J. Haglin
An Optimal Algorithm for Finding All Convex Subsets in Tournaments. Ars Comb. 52 (1999)
David J. Haglin
Technical report column. SIGACT News 30 (4) (1999)
David J. Haglin, Marty J. Wolf
On Convex Subsets in Tournaments. SIAM J. Discret. Math. 9 (1) (1996)
David J. Haglin
Bipartite Expander Matching is in NC. Parallel Process. Lett. 5 (1995)
David J. Haglin, John A. Kaliski
A Massively Parallel Transportation Solution. PDPTA (1995)
Ted Fischer, Andrew V. Goldberg, David J. Haglin, Serge A. Plotkin
Approximating Matchings in Parallel. Inf. Process. Lett. 46 (3) (1993)
David J. Haglin
Approximating Maximum 2-CNF Satisfiability. Parallel Process. Lett. 2 (1992)
David J. Haglin, Shankar M. Venkatesan
Approximation and Intractability Results for the Maximum Cut Problem and its Variants. IEEE Trans. Computers 40 (1) (1991)
David J. Haglin
On a fast deterministic parallel approximate matching algorithm. SPDP (1991)