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Improving Classification of Protein Interaction Articles Using Context Similarity-Based Feature Selection
المؤلفون المشاركون
Han, Bing Qing
Chen, Yifei
Sun, Yuxing
المصدر
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-08-03
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Protein interaction article classification is a text classification task in the biological domain to determine which articles describe protein-protein interactions.
Since the feature space in text classification is high-dimensional, feature selection is widely used for reducing the dimensionality of features to speed up computation without sacrificing classification performance.
Many existing feature selection methods are based on the statistical measure of document frequency and term frequency.
One potential drawback of these methods is that they treat features separately.
Hence, first we design a similarity measure between the context information to take word cooccurrences and phrase chunks around the features into account.
Then we introduce the similarity of context information to the importance measure of the features to substitute the document and term frequency.
Hence we propose new context similarity-based feature selection methods.
Their performance is evaluated on two protein interaction article collections and compared against the frequency-based methods.
The experimental results reveal that the context similarity-based methods perform better in terms of the F1 measure and the dimension reduction rate.
Benefiting from the context information surrounding the features, the proposed methods can select distinctive features effectively for protein interaction article classification.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Chen, Yifei& Sun, Yuxing& Han, Bing Qing. 2015. Improving Classification of Protein Interaction Articles Using Context Similarity-Based Feature Selection. BioMed Research International،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1056623
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Chen, Yifei…[et al.]. Improving Classification of Protein Interaction Articles Using Context Similarity-Based Feature Selection. BioMed Research International No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1056623
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Chen, Yifei& Sun, Yuxing& Han, Bing Qing. Improving Classification of Protein Interaction Articles Using Context Similarity-Based Feature Selection. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1056623
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1056623
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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