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» A practical generalization of Fourier-based learning
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134
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KDD
2005
ACM
147views Data Mining» more  KDD 2005»
15 years 9 months ago
Combining proactive and reactive predictions for data streams
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
Ying Yang, Xindong Wu, Xingquan Zhu
152
Voted
WWW
2009
ACM
16 years 4 months ago
Search shortcuts: driving users towards their goals
Giving suggestions to users of Web-based services is a common practice aimed at enhancing their navigation experience. Major Web Search Engines usually provide Suggestions under t...
Ranieri Baraglia, Fidel Cacheda, Victor Carneiro, ...
122
Voted
WWW
2005
ACM
16 years 4 months ago
The classroom sentinel: supporting data-driven decision-making in the classroom
Whereas schools typically record mounds of data regarding student performance, attendance, and other behaviors over the course of a school year, rarely is that data consulted and ...
Mark K. Singley, Richard B. Lam
115
Voted
ICSE
2008
IEEE-ACM
16 years 3 months ago
Effecting change: coordination in large-scale software development
Large-scale software development requires coordination within and between very large engineering teams, each of which may be located in different locations and time zones. Numerou...
Andrew Begel
123
Voted
EUROSYS
2006
ACM
16 years 17 days ago
Automated known problem diagnosis with event traces
Computer problem diagnosis remains a serious challenge to users and support professionals. Traditional troubleshooting methods relying heavily on human intervention make the proce...
Chun Yuan, Ni Lao, Ji-Rong Wen, Jiwei Li, Zheng Zh...