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» Reducing the Complexity of Reductions
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DAWAK
2006
Springer
15 years 8 months ago
COBRA: Closed Sequential Pattern Mining Using Bi-phase Reduction Approach
Sequential pattern mining aims to find frequent patterns (guarded by a minimum support) in a database of sequences. As the support decreases the number of sequential patterns will...
Kuo-Yu Huang, Chia-Hui Chang, Jiun-Hung Tung, Chen...
AAAI
2010
15 years 8 months ago
Transfer Learning in Collaborative Filtering for Sparsity Reduction
Data sparsity is a major problem for collaborative filtering (CF) techniques in recommender systems, especially for new users and items. We observe that, while our target data are...
Weike Pan, Evan Wei Xiang, Nathan Nan Liu, Qiang Y...
DAGSTUHL
2006
15 years 8 months ago
Physical 2D Morphware and Power Reduction Methods for Everyone
Dynamic and partial reconfiguration discovers more and more the focus in academic and industrial research. Modern systems in e.g. avionic and automotive applications exploit the p...
Jürgen Becker, Michael Hübner, Katarina ...
DMDW
2000
151views Management» more  DMDW 2000»
15 years 8 months ago
Automated dimensionality reduction of data warehouses
A data warehouse is designed to consolidate and maintain all attributes that are relevant for the analysis processes. Due to the rapid increase in the size of the modern operation...
Mark Last, Oded Maimon
PAA
2008
15 years 6 months ago
Prototype reduction using an artificial immune model
Artificial immune system (AIS)-based pattern classification approach is relatively new in the field of pattern recognition. The study explores the potentiality of this paradigm in ...
Utpal Garain