Geoff Hulten

According to our database, Geoff Hulten authored at least 13 papers between 2000 and 2016.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2016

Mining Decision Trees from Streams.

Geoff Hulten, Pedro M. Domingos

Proceedings of the Data Stream Management - Processing High-Speed Data Streams, 2016

2013

Measuring the engagement level of TV viewers.

Javier Hernandez, Zicheng Liu, Geoff Hulten, Dave DeBarr, Kyle Krum, Zhengyou Zhang

Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

2008

Spamming botnets: signatures and characteristics.

Yinglian Xie, Fang Yu, Kannan Achan, Rina Panigrahy, Geoff Hulten, Ivan Osipkov

Proceedings of the ACM SIGCOMM 2008 Conference on Applications, 2008

2006

Learning at Low False Positive Rates.

Wen-tau Yih, Joshua Goodman, Geoff Hulten

Proceedings of the CEAS 2006, 2006

2004

Filtering spam e-mail on a global scale.

Geoff Hulten, Joshua T. Goodman, Robert Rounthwaite

Proceedings of the 13th international conference on World Wide Web, 2004

Trends in Spam Products and Methods.

Geoff Hulten, Anthony Penta, Gopalakrishnan Seshadrinathan, Manav Mishra

Proceedings of the CEAS 2004, 2004

2003

Learning Bayesian Networks From Dependency Networks: A Preliminary Study.

Geoff Hulten, David Maxwell Chickering, David Heckerman

Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

2002

Mining complex models from arbitrarily large databases in constant time.

Geoff Hulten, Pedro M. Domingos

Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

2001

Learning from Infinite Data in Finite Time.

Pedro M. Domingos, Geoff Hulten

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Mining time-changing data streams.

Geoff Hulten, Laurie Spencer, Pedro M. Domingos

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

A General Method for Scaling Up Machine Learning Algorithms and its Application to Clustering.

Pedro M. Domingos, Geoff Hulten

Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

Catching up with the Data: Research Issues in Mining Data Streams.

Pedro M. Domingos, Geoff Hulten

Proceedings of the 2001 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 2001

2000

Mining high-speed data streams.

Pedro M. Domingos, Geoff Hulten

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000