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OOPSLA
1998
Springer
14 years 4 days ago
How to Preserve the Benefits of Design Patterns
The rapid evolution of Design Patterns has hampered the benefits gained from using Design Patterns. The increase in the number of Design Patterns makes a common vocabulary unmanag...
Ellen Agerbo, Aino Cornils
SIGMOD
1999
ACM
112views Database» more  SIGMOD 1999»
14 years 6 days ago
A New Method for Similarity Indexing of Market Basket Data
In recent years, many data mining methods have been proposed for finding useful and structured information from market basket data. The association rule model was recently propos...
Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu
KDD
2009
ACM
163views Data Mining» more  KDD 2009»
14 years 8 months ago
Large-scale graph mining using backbone refinement classes
We present a new approach to large-scale graph mining based on so-called backbone refinement classes. The method efficiently mines tree-shaped subgraph descriptors under minimum f...
Andreas Maunz, Christoph Helma, Stefan Kramer
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
14 years 8 months ago
Practical learning from one-sided feedback
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...
D. Sculley
GECCO
2004
Springer
175views Optimization» more  GECCO 2004»
14 years 1 months ago
Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making
Abstract. Human-based genetic algorithms are powerful tools for organizational modeling. If we enhance them using chance discovery techniques, we obtain an innovative approach for ...
Xavier Llorà, Kei Ohnishi, Ying-Ping Chen, ...