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» Evaluating algorithms that learn from data streams
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SIGMOD
2005
ACM
212views Database» more  SIGMOD 2005»
16 years 7 months ago
A Cost-Based Model and Effective Heuristic for Repairing Constraints by Value Modification
Data integrated from multiple sources may contain inconsistencies that violate integrity constraints. The constraint repair problem attempts to find "low cost" changes t...
Philip Bohannon, Michael Flaster, Wenfei Fan, Raje...
CIKM
2008
Springer
15 years 9 months ago
A sparse gaussian processes classification framework for fast tag suggestions
Tagged data is rapidly becoming more available on the World Wide Web. Web sites which populate tagging services offer a good way for Internet users to share their knowledge. An in...
Yang Song, Lu Zhang 0007, C. Lee Giles
KDD
2012
ACM
186views Data Mining» more  KDD 2012»
13 years 9 months ago
Maximum inner-product search using cone trees
The problem of efficiently finding the best match for a query in a given set with respect to the Euclidean distance or the cosine similarity has been extensively studied. However...
Parikshit Ram, Alexander G. Gray
KDD
2005
ACM
107views Data Mining» more  KDD 2005»
16 years 28 days ago
Predicting the product purchase patterns of corporate customers
This paper describes TIPPPS (Time Interleaved Product Purchase Prediction System), which analyses billing data of corporate customers in a large telecommunications company in orde...
Bhavani Raskutti, Alan Herschtal
KDD
2010
ACM
199views Data Mining» more  KDD 2010»
15 years 11 months ago
Overlapping experiment infrastructure: more, better, faster experimentation
At Google, experimentation is practically a mantra; we evaluate almost every change that potentially affects what our users experience. Such changes include not only obvious user-...
Diane Tang, Ashish Agarwal, Deirdre O'Brien, Mike ...