Sökning: "Rule extraction"

Visar resultat 1 - 5 av 22 avhandlingar innehållade orden Rule extraction.

  1. 1. Computational Terminology : Exploring Bilingual and Monolingual Term Extraction

    Författare :Jody Foo; Magnus Merkel; Lars Ahrenberg; Dimitrios Kokkinakis; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; terminology; automatic term extraction; automatic term recognition; computational terminology; terminology management;

    Sammanfattning : Terminologies are becoming more important to modern day society as technology and science continue to grow at an accelerating rate in a globalized environment. Agreeing upon which terms should be used to represent which concepts and how those terms should be translated into different languages is important if we wish to be able to communicate with as little confusion and misunderstandings as possible. LÄS MER

  3. 2. Obtaining Accurate and Comprehensible Data Mining Models : An Evolutionary Approach

    Författare :Ulf Johansson; Lars Niklasson; Tom Ziemke; Thorsteinn Rögnvaldsson; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Rule extraction; Ensembles; Data mining; Genetic programming; Artificial neural networks; Computer science; Datalogi;

    Sammanfattning : When performing predictive data mining, the use of ensembles is claimed to virtually guarantee increased accuracy compared to the use of single models. Unfortunately, the problem of how to maximize ensemble accuracy is far from solved. LÄS MER

  4. 3. Predictive Techniques and Methods for Decision Support in Situations with Poor Data Quality

    Författare :Rikard König; Högskolan i Skövde; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Rule Extraction; Genetic Programming; Uncertainty estimation; Machine Learning; Artificial Neural Networks; Data Mining; Information Fusion; Information technology; Informationsteknik; Teknik; Technology;

    Sammanfattning : Today, decision support systems based on predictive modeling are becoming more common, since organizations often collect more data than decision makers can handle manually. Predictive models are used to find potentially valuable patterns in the data, or to predict the outcome of some event. LÄS MER

  5. 4. Computational Prediction Models for Proteolytic Cleavage and Epitope Identification

    Författare :Liwen You; Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; medical informatics; biomathematics biometrics; Bioinformatics; SVM; sequence analysis; rule extraction; protease-peptide interaction; OSRE; MHC; immunology; HIV; hierarchical method; HCV; Gaussian process; false positive; epitope; cleavage specificity; cleavage prediction; binding affinity; caspase; Bioinformatik; medicinsk informatik; biomatematik; Computer science; numerical analysis; systems; control; Datalogi; numerisk analys; system; kontroll; Binding affinity; Bioinformatics;

    Sammanfattning : The biological functions of proteins depend on their physical interactions with other molecules, such as proteins and peptides. Therefore, modeling the protein-ligand interactions is important for understanding protein functions in different biological processes. LÄS MER

  7. 5. Enhancing genetic programming for predictive modeling

    Författare :Rikard König; Niklas Lavesson; Örebro universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; genetic programming; predictive modelsing; data mining; machine learning; rule extraction; regression; ensembles; comprehensibility; Computer Science; Datavetenskap;

    Sammanfattning : See separate file, "Abstract.png"... LÄS MER