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» A Perspective on Databases and Data Mining
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TODS
2002
92views more  TODS 2002»
15 years 4 months ago
Searching in metric spaces with user-defined and approximate distances
Metric access methods (MAMs), such as the M-tree, are powerful index structures for supporting ty queries on metric spaces, which represent a common abstraction for those searchin...
Paolo Ciaccia, Marco Patella
SEMWEB
2010
Springer
15 years 2 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
SIGIR
2011
ACM
14 years 7 months ago
Decayed DivRank: capturing relevance, diversity and prestige in information networks
Many network-based ranking approaches have been proposed to rank objects according to different criteria, including relevance, prestige and diversity. However, existing approache...
Pan Du, Jiafeng Guo, Xueqi Cheng
ICDE
2002
IEEE
164views Database» more  ICDE 2002»
16 years 5 months ago
Towards Meaningful High-Dimensional Nearest Neighbor Search by Human-Computer Interaction
Nearest Neighbor search is an important and widely used problem in a number of important application domains. In many of these domains, the dimensionality of the data representati...
Charu C. Aggarwal
KDD
2009
ACM
162views Data Mining» more  KDD 2009»
16 years 5 months ago
TrustWalker: a random walk model for combining trust-based and item-based recommendation
Collaborative filtering is the most popular approach to build recommender systems and has been successfully employed in many applications. However, it cannot make recommendations ...
Mohsen Jamali, Martin Ester