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SEMWEB
2010
Springer
13 years 7 months ago
Auto-experimentation of KDD Workflows Based on Ontological Planning
One of the problems of Knowledge Discovery in Databases (KDD) is the lack of user support for solving KDD problems. Current Data Mining (DM) systems enable the user to manually des...
Floarea Serban
IDA
2009
Springer
13 years 7 months ago
Ontology-Driven KDD Process Composition
Abstract. One of the most interesting challenges in Knowledge Discovery in Databases (KDD) eld is giving support to users in the composition of tools for forming a valid and useful...
Claudia Diamantini, Domenico Potena, Emanuele Stor...
WWW
2009
ACM
14 years 10 months ago
An axiomatic approach for result diversification
Understanding user intent is key to designing an effective ranking system in a search engine. In the absence of any explicit knowledge of user intent, search engines want to diver...
Sreenivas Gollapudi, Aneesh Sharma
KDD
2009
ACM
227views Data Mining» more  KDD 2009»
14 years 10 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
ISPASS
2007
IEEE
14 years 4 months ago
CA-RAM: A High-Performance Memory Substrate for Search-Intensive Applications
This paper proposes a specialized memory structure called CA-RAM (Content Addressable Random Access Memory) to accelerate search operations present in many important real-world ap...
Sangyeun Cho, Joel R. Martin, Ruibin Xu, Mohammad ...