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» Improving the SLA Algorithm Using Association Rules
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141
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BIBM
2008
IEEE
217views Bioinformatics» more  BIBM 2008»
15 years 7 months ago
Combining Hierarchical Inference in Ontologies with Heterogeneous Data Sources Improves Gene Function Prediction
The study of gene function is critical in various genomic and proteomic fields. Due to the availability of tremendous amounts of different types of protein data, integrating thes...
Xiaoyu Jiang, Naoki Nariai, Martin Steffen, Simon ...
CAEPIA
2003
Springer
15 years 5 months ago
Text Mining Using the Hierarchical Syntactical Structure of Documents
One of the most important tasks for determining association rules consists of calculating all the maximal frequent itemsets. Specifically, some methods to obtain these itemsets hav...
Roxana Dánger, José Ruiz-Shulcloper,...
102
Voted
JSW
2008
99views more  JSW 2008»
15 years 17 days ago
Using Data Mining in MURA Graphic Problems
The MURA phenomenon will result lots of problems in Photomask and TFT-LCD industries as well. In this paper, we designed and developed a MURA related association rules which suitab...
Wen-Hsing Kao, Jason C. Hung, Victoria Hsu
SIBGRAPI
2006
IEEE
15 years 6 months ago
A Computer-Assisted Colorization Algorithm based on Topological Difference
Region-based approaches to cel painting typically use shape similarity and topology relations between regions of consecutive animation frames. This paper presents a new colorizati...
Hedlena M. de A. Bezerra, Bruno Feijó, Luiz...
98
Voted
ICTAI
2002
IEEE
15 years 5 months ago
Machine Learning for Software Engineering: Case Studies in Software Reuse
There are many machine learning algorithms currently available. In the 21st century, the problem no longer lies in writing the learner, but in choosing which learners to run on a ...
Justin S. Di Stefano, Tim Menzies