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PODS
2012
ACM
240views Database» more  PODS 2012»
12 years 12 months ago
Approximate computation and implicit regularization for very large-scale data analysis
Database theory and database practice are typically the domain of computer scientists who adopt what may be termed an algorithmic perspective on their data. This perspective is ve...
Michael W. Mahoney
KDD
2005
ACM
161views Data Mining» more  KDD 2005»
15 years 9 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
PEPM
2009
ACM
15 years 6 months ago
Self-adjusting computation: (an overview)
Many applications need to respond to incremental modifications to data. Being incremental, such modification often require incremental modifications to the output, making it po...
Umut A. Acar
126
Voted
WWW
2010
ACM
15 years 4 months ago
Factorizing personalized Markov chains for next-basket recommendation
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
Steffen Rendle, Christoph Freudenthaler, Lars Schm...
104
Voted
OOPSLA
2009
Springer
15 years 4 months ago
Debug all your code: portable mixed-environment debugging
Programmers build large-scale systems with multiple languages to reuse legacy code and leverage languages best suited to their problems. For instance, the same program may use Jav...
Byeongcheol Lee, Martin Hirzel, Robert Grimm, Kath...