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KDD
2007
ACM
149views Data Mining» more  KDD 2007»
14 years 10 months ago
Partial example acquisition in cost-sensitive learning
It is often expensive to acquire data in real-world data mining applications. Most previous data mining and machine learning research, however, assumes that a fixed set of trainin...
Victor S. Sheng, Charles X. Ling
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
14 years 10 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
KDD
2003
ACM
195views Data Mining» more  KDD 2003»
14 years 10 months ago
Visualizing changes in the structure of data for exploratory feature selection
Using visualization techniques to explore and understand high-dimensional data is an efficient way to combine human intelligence with the immense brute force computation power ava...
Elias Pampalk, Werner Goebl, Gerhard Widmer
OSDI
2006
ACM
14 years 10 months ago
Ceph: A Scalable, High-Performance Distributed File System
We have developed Ceph, a distributed file system that provides excellent performance, reliability, and scalability. Ceph maximizes the separation between data and metadata manage...
Sage A. Weil, Scott A. Brandt, Ethan L. Miller, Da...
SIGMOD
2007
ACM
132views Database» more  SIGMOD 2007»
14 years 10 months ago
A dynamic and flexible sensor network platform
SwissQM is a novel sensor network platform for acquiring data from the real world. Instead of statically hand-crafted programs, SwissQM is a virtual machine capable of executing b...
Donald Kossmann, Gustavo Alonso, Jan S. Rellermeye...