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    AEI
    2004
    114views more  AEI 2004»
    Physical concept ontology for the knowledge intensive engineering framework
    13 years 6 months ago
    Physical concept ontology for the knowledge intensive engineering framework
    Download  www-kasm.nii.ac.jp
    Knowledge intensive engineering aims at flexible applications of a variety of product life cycle knowledge, such as design, manufacturing, operations, maintenance, and recycling. ...
    Masaharu Yoshioka, Yasushi Umeda, Hideaki Takeda, ...
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    BIBE
    2006
    IEEE
    137views Bioinformatics» more  BIBE 2006»
    Leveraging Chemical Background Knowledge for the Prediction of Growth Inhibition
    14 years 28 days ago
    Leveraging Chemical Background Knowledge for the Prediction of Growth Inhibition
    Download  wwwkramer.in.tum.de
    We show how chemical background knowledge can be used to improve the prediction performance in structureactivitity relationships (SARs) for non-congeneric compounds. The goal of t...
    Lothar Richter, Stefan Hechtl, Stefan Kramer
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    DKE
    2007
    115views more  DKE 2007»
    An improved methodology on information distillation by mining program source code
    13 years 6 months ago
    An improved methodology on information distillation by mining program source code
    Download  www.cs.man.ac.uk
    This paper presents a methodology for knowledge acquisition from source code. We use data mining to support semiautomated software maintenance and comprehension and provide practi...
    Yiannis Kanellopoulos, Christos Makris, Christos T...
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    BMCBI
    2007
    207views more  BMCBI 2007»
    Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering
    13 years 6 months ago
    Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering
    Download  www.biomedcentral.com
    Background: Many important high throughput projects use in situ hybridization and may require the analysis of images of spatial cross sections of organisms taken with cellular lev...
    Manjunatha Jagalur, Chris Pal, Erik G. Learned-Mil...
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    KDD
    2005
    ACM
    218views Data Mining» more  KDD 2005»
    A maximum entropy web recommendation system: combining collaborative and content features
    14 years 7 months ago
    A maximum entropy web recommendation system: combining collaborative and content features
    Download  maya.cs.depaul.edu
    Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
    Xin Jin, Yanzan Zhou, Bamshad Mobasher
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