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» Mining Very Large Databases
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ICDM
2003
IEEE
101views Data Mining» more  ICDM 2003»
14 years 3 months ago
Interactive Visualization and Navigation in Large Data Collections using the Hyperbolic Space
We propose the combination of two recently introduced methods for the interactive visual data mining of large collections of data. Both, Hyperbolic Multi-Dimensional Scaling (HMDS...
Jörg A. Walter, Jörg Ontrup, Daniel Wess...
ICCS
2007
Springer
14 years 4 months ago
Pushing Frequency Constraint to Utility Mining Model
Traditional association rules mining (ARM) only concerns the frequency of itemsets, which may not bring large amount of profit. Utility mining only focuses on itemsets with high ut...
Jing Wang, Ying Liu, Lin Zhou, Yong Shi, Xingquan ...
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
14 years 10 months ago
Modeling relationships at multiple scales to improve accuracy of large recommender systems
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Robert M. Bell, Yehuda Koren, Chris Volinsky
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 2 months ago
Parallel community detection on large networks with propinquity dynamics
Graphs or networks can be used to model complex systems. Detecting community structures from large network data is a classic and challenging task. In this paper, we propose a nove...
Yuzhou Zhang, Jianyong Wang, Yi Wang, Lizhu Zhou
DASFAA
2004
IEEE
86views Database» more  DASFAA 2004»
14 years 1 months ago
Concurrent Updating of Large Spatial Objects
The update transactions to be executed in spatial databases have been usually known as interactive and long duration works. When a spatial object has a very large geometry of which...
Youngduk Seo, Donghyun Kim, Bonghee Hong