رسالة جامعية

Contributions to Structured and Unstructured Data Analysis: Liquid Association Computation Acceleration and Word Similarity via Folksonomy

التفاصيل البيبلوغرافية
العنوان: Contributions to Structured and Unstructured Data Analysis: Liquid Association Computation Acceleration and Word Similarity via Folksonomy
المؤلفون: Wu, GuanI
المساهمون: Li, Ker-Chau
بيانات النشر: eScholarship, University of California
سنة النشر: 2019
المجموعة: University of California: eScholarship
مصطلحات موضوعية: Statistics, Computer science, Bioinformatics, GPU, Liquid Association, Word similarity
الوصف: In this thesis, I organize two independent projects into five chapters. The first chapter introduces Liquid Association and our proposed method to accelerate its computation. The second chapter is related to the design of the computational structure for Liquid Association website (LAP3). The third chapter is regarding the application of Liquid Association to Global Health Observatory (GHO) data. The fourth chapter describes a novel method to model the distribution of human ratings on word-similarity. The last chapter focuses on the analysis of the relationship between the knowledge-based approach and the corpus-based approach.
نوع الوثيقة: thesis
وصف الملف: application/pdf
اللغة: English
العلاقة: qt3vr3131b; https://escholarship.org/uc/item/3vr3131bTest
الإتاحة: https://escholarship.org/uc/item/3vr3131bTest
حقوق: public
رقم الانضمام: edsbas.D3C7A3B
قاعدة البيانات: BASE