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Mo, Yuji – ProQuest LLC, 2022
The research in this dissertation consists of two parts: An active learning algorithm for hierarchical labels and an embedding-based retrieval algorithm. In the first part, we present a new approach for learning hierarchically decomposable concepts. The approach learns a high-level classifier (e.g., location vs. non-location) by separately…
Descriptors: Active Learning, Algorithms, Classification, Models
Huapu Liu – ProQuest LLC, 2024
This two-part dissertation centers on a re-examination of the role of book indexes in information retrieval research on full-text digital book collections in digital libraries. Early research focused on information retrieval and book indexes (in addition to other parts of books) in the 2000s when the Google Books corpus was first released to the…
Descriptors: Information Retrieval, Indexes, Reference Materials, Semantics
Singelmann, Lauren Nichole – ProQuest LLC, 2022
To meet the national and international call for creative and innovative engineers, many engineering departments and classrooms are striving to create more authentic learning spaces where students are actively engaging with design and innovation activities. For example, one model for teaching innovation is Innovation-Based Learning (IBL) where…
Descriptors: Engineering Education, Design, Educational Innovation, Models
Shaurya Rohatgi – ProQuest LLC, 2023
The exponential growth of digital libraries and the proliferation of scholarly content in electronic formats have made data mining and information retrieval essential tools for effectively managing, organizing, and disseminating knowledge. This thesis provides a comprehensive analysis of the advancements and challenges in these fields, with a…
Descriptors: Data Use, Data Analysis, Information Retrieval, Database Design
Arielle A. Gaither – ProQuest LLC, 2021
Bag-of-words is a commonly used text representation method for many text classification applications. However, bag-of-words representation fails to consider the context of the text because it only examines text documents based on the presence of individual words and explores relationships between texts with similar word choices (Bengfort, 2018).…
Descriptors: Journal Articles, Classification, Language Usage, Databases
Ashley Haigler – ProQuest LLC, 2021
The results of an industry research survey showed, understanding Dissertation Research categories has not been the focused on many researchers and institutions. This research expands on machine learning methodologies using two similar datasets to answer these three questions: 1. Is there a way to track the trends of Pace University's Doctor of…
Descriptors: Artificial Intelligence, Content Analysis, Cluster Grouping, Classification
Deep Learning Based Imbalanced Data Classification and Information Retrieval for Multimedia Big Data
Yan, Yilin – ProQuest LLC, 2018
The development in information science has enabled an explosive growth of data, which attracts more and more researchers to engage in the field of big data analytics. Noticeably, in many real-world applications, large amounts of data are imbalanced data since the events of interests occur infrequently. Classification of imbalanced data is an…
Descriptors: Information Science, Information Retrieval, Multimedia Materials, Data
Lee, Po-Shen – ProQuest LLC, 2017
Scientific results are communicated visually in the literature through diagrams, visualizations, and photographs. In this thesis, we developed a figure processing pipeline to classify more than 8 million figures from PubMed Central into different figure types and study the resulting patterns of visual information as they relate to scholarly…
Descriptors: Scientific and Technical Information, Information Dissemination, Visual Aids, Visualization
Ding, Shuai – ProQuest LLC, 2013
The inverted index is the main data structure used by all the major search engines. Search engines build an inverted index on their collection to speed up query processing. As the size of the web grows, the length of the inverted list structures, which can easily grow to hundreds of MBs or even GBs for common terms (roughly linear in the size of…
Descriptors: Search Engines, Internet, Indexes, Information Retrieval
Alqady, Mohammed – ProQuest LLC, 2012
The construction industry is a knowledge intensive industry. Thousands of documents are generated by construction projects. Documents, as information carriers, must be managed effectively to ensure successful project management. The fact that a single project can produce thousands of documents and that a lot of the documents are generated in a…
Descriptors: Construction Industry, Information Management, Semantics, Content Analysis
Lin, Yi-Ling – ProQuest LLC, 2013
This dissertation focuses on investigating whether users will locate desired images more efficiently and effectively when they are provided with information descriptors from both experts and the general public. This study develops a way to support image finding through a human-computer interface by providing subject headings and social tags about…
Descriptors: Information Science, Users (Information), Information Retrieval, Access to Information
Bhatia, Sumit – ProQuest LLC, 2013
Online discussion forums have become popular in recent times. They provide a platform for people from different parts of the world sharing a common interest to come together and topics of mutual interest and seek solutions to their problems. There are hundreds of thousands of internet forums containing tens of millions of discussion threads and…
Descriptors: Access to Information, Computer Mediated Communication, Discussion Groups, Internet
Elsas, Jonathan L. – ProQuest LLC, 2011
Social media collections are becoming increasingly important in the everyday life of Internet users. Recent statistics show that sites hosting social media and community-generated content account for five of the top ten most visited websites in the United States [4] are visited regularly by a broad cross-section of Internet users [61, 67, 115] and…
Descriptors: Information Retrieval, Social Networks, Web Sites, Classification
Telang, Aditya – ProQuest LLC, 2011
With the advent of the Web, the notion of "information retrieval" has acquired a completely new connotation and currently encompasses several disciplines ranging from traditional forms of text and data retrieval in unstructured and structured repositories to retrieval of static and dynamic information from the contents of the surface and deep Web.…
Descriptors: Feedback (Response), Semantics, Databases, Internet
Gao, Jinglun – ProQuest LLC, 2012
This thesis work is mainly focused on two problems related to improving accessibility of information graphics for visually impaired users. The first problem is automated analysis of information graphics for information extraction and the second problem is multi-modal representations for accessibility. Information graphics are graphical…
Descriptors: Visual Aids, Users (Information), User Needs (Information), Visual Impairments
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