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» Deriving Object-Oriented Frameworks from Domain Knowledge
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AIIA
2005
Springer
15 years 3 months ago
Mining Relational Association Rules for Propositional Classification
In traditional classification setting, training data are represented as a single table, where each row corresponds to an example and each column to a predictor variable or the targ...
Annalisa Appice, Michelangelo Ceci, Donato Malerba
115
Voted
KDD
1999
ACM
237views Data Mining» more  KDD 1999»
15 years 1 months ago
Using Association Rules for Product Assortment Decisions: A Case Study
It has been claimed that the discovery of association rules is well-suited for applications of market basket analysis to reveal regularities in the purchase behaviour of customers...
Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert We...
85
Voted
BIBE
2001
IEEE
188views Bioinformatics» more  BIBE 2001»
15 years 1 months ago
Interrelated Two-way Clustering: An Unsupervised Approach for Gene Expression Data Analysis
DNA arrays can be used to measure the expression levels of thousands of genes simultaneously. Currently most research focuses on the interpretation of the meaning of the data. How...
Chun Tang, Li Zhang, Aidong Zhang, Murali Ramanath...
CORR
2011
Springer
147views Education» more  CORR 2011»
14 years 4 months ago
Human-Assisted Graph Search: It's Okay to Ask Questions
We consider the problem of human-assisted graph search: given a directed acyclic graph with some (unknown) target node(s), we consider the problem of finding the target node(s) b...
Aditya G. Parameswaran, Anish Das Sarma, Hector Ga...
CVPR
2011
IEEE
14 years 1 months ago
Kernelized Structural SVM Learning for Supervised Object Segmentation
Object segmentation needs to be driven by top-down knowledge to produce semantically meaningful results. In this paper, we propose a supervised segmentation approach that tightly ...
Luca Bertelli, Tianli Yu, Diem Vu, Salih Gokturk