Geoff Hulten
TitleCited byYear
Mining high-speed data streams
P Domingos, G Hulten
Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000
22902000
Mining time-changing data streams
G Hulten, L Spencer, P Domingos
Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001
18142001
Spamming botnets: signatures and characteristics
Y Xie, F Yu, K Achan, R Panigrahy, G Hulten, I Osipkov
ACM SIGCOMM Computer Communication Review 38 (4), 171-182, 2008
4872008
A general method for scaling up machine learning algorithms and its application to clustering
P Domingos, G Hulten
ICML 1, 106-113, 2001
2712001
A general framework for mining massive data streams
P Domingos, G Hulten
Journal of Computational and Graphical Statistics 12 (4), 945-949, 2003
1692003
Catching up with the Data: Research Issues in Mining Data Streams.
PM Domingos, G Hulten
DMKD, 2001
1552001
Application reputation service
G Hulten, S Rehfuss, R Franczyk, CA Meek, J Scarrow, A Newman
US Patent 8,769,702, 2014
972014
Mining complex models from arbitrarily large databases in constant time
G Hulten, P Domingos
Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002
802002
Measuring the engagement level of TV viewers
J Hernandez, Z Liu, G Hulten, D DeBarr, K Krum, Z Zhang
2013 10th IEEE International Conference and Workshops on Automatic Face and …, 2013
612013
VFML–a toolkit for mining high-speed time-changing data streams
G Hulten, P Domingos
Software toolkit 51, 2003
522003
Learning at Low False Positive Rates.
W Yih, J Goodman, G Hulten
CEAS, 2006
482006
Trends in spam products and methods
G Hulten
Proc. the First Conference on Email and Anti-Spam, 2004, 2004
422004
Mining time-changing data streams
P Domingos, G Hulten, L Spencer
Proc. of the 2001 ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data …, 2001
412001
Learning from infinite data in finite time
P Domingos, G Hulten
Advances in Neural Information Processing Systems, 673-680, 2002
382002
Learning Bayesian Networks From Dependency Networks: A Preliminary Study.
G Hulten, DM Chickering, D Heckerman
AISTATS, 2003
332003
Estimating engagement of consumers of presented content
JH Rivera, Z Liu, G Hulten, M Conrad, K Krum, D DeBarr, Z Zhang
US Patent 8,943,526, 2015
302015
Filtering spam e-mail on a global scale
G Hulten, J Goodman, R Rounthwaite
Proceedings of the 13th international World Wide Web conference on Alternate …, 2004
232004
Tutorial on junk email filtering
E Hulton, J Goodman
Tutorial in the 21st International Conference on Machine Learning (ICML), 2004
232004
Determining email filtering type based on sender classification
R Colvin, C Mills, R McCann, G Hulten, H Katz, E Kruja, X Huang, ...
US Patent 8,028,031, 2011
202011
Mining massive relational databases
G Hulten, P Domingos, Y Abe
Proceedings of the IJCAI-2003 workshop on learning statistical models from …, 2003
202003
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