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KDD
2009
ACM
227views Data Mining» more  KDD 2009»
14 years 9 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
CHI
2007
ACM
14 years 9 months ago
InkSeine: In Situ search for active note taking
Using a notebook to sketch designs, reflect on a topic, or capture and extend creative ideas are examples of active note taking tasks. Optimal experience for such tasks demands co...
Ken Hinckley, Shengdong Zhao, Raman Sarin, Patrick...
VLDB
2002
ACM
141views Database» more  VLDB 2002»
14 years 9 months ago
Data page layouts for relational databases on deep memory hierarchies
Relational database systems have traditionally optimized for I/O performance and organized records sequentially on disk pages using the N-ary Storage Model (NSM) (a.k.a., slotted ...
Anastassia Ailamaki, David J. DeWitt, Mark D. Hill
VLDB
2007
ACM
155views Database» more  VLDB 2007»
14 years 9 months ago
Towards Graph Containment Search and Indexing
Given a set of model graphs D and a query graph q, containment search aims to find all model graphs g D such that q contains g (q g). Due to the wide adoption of graph models, f...
Chen Chen, Xifeng Yan, Philip S. Yu, Jiawei Han, D...
SIGMOD
2009
ACM
171views Database» more  SIGMOD 2009»
14 years 9 months ago
GAMPS: compressing multi sensor data by grouping and amplitude scaling
We consider the problem of collectively approximating a set of sensor signals using the least amount of space so that any individual signal can be efficiently reconstructed within...
Sorabh Gandhi, Suman Nath, Subhash Suri, Jie Liu