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Danciulescu, Theodora Ioana; Mihaescu, Marian Cristian; Heras, Stella; Palanca, Javier; Julian, Vicente – International Educational Data Mining Society, 2020
Building and especially improving a classification kernel represents a challenging task. The works presented in this paper continue an already developed semi-supervised classification approach that aimed at labelling transcripts from educational videos. We questioned whether the size of the ground-truth data-set (Wikipedia articles) or the quality…
Descriptors: Data Analysis, Classification, Information Retrieval, Video Technology
Langlois, Alexis; Nie, Jian-Yun; Thomas, James; Hong, Quan Nha; Pluye, Pierre – Research Synthesis Methods, 2018
Objective: Identify the most performant automated text classification method (eg, algorithm) for differentiating empirical studies from nonempirical works in order to facilitate systematic mixed studies reviews. Methods: The algorithms were trained and validated with 8050 database records, which had previously been manually categorized as…
Descriptors: Mixed Methods Research, Databases, Information Retrieval, Search Strategies
Kaur, Parneet; Singh, Manpreet; Singh Josan, Gurpreet – Education and Information Technologies, 2017
Rank Aggregation techniques have found wide applications for metasearch along with other streams such as Sports, Voting System, Stock Markets, and Reduction in Spam. This paper presents the optimization of rank lists for web queries put by the user on different MetaSearch engines. A metaheuristic approach such as Genetic algorithm based rank…
Descriptors: Comparative Analysis, Search Engines, Genetics, Mathematical Formulas
Rajagopal, Prabha; Ravana, Sri Devi – Information Research: An International Electronic Journal, 2017
Introduction: The use of averaged topic-level scores can result in the loss of valuable data and can cause misinterpretation of the effectiveness of system performance. This study aims to use the scores of each document to evaluate document retrieval systems in a pairwise system evaluation. Method: The chosen evaluation metrics are document-level…
Descriptors: Information Retrieval, Documentation, Scores, Information Systems
Ye, Cheng; Segedy, James R.; Kinnebrew, John S.; Biswas, Gautam – International Educational Data Mining Society, 2015
This paper discusses Multi-Feature Hierarchical Sequential Pattern Mining, MFH-SPAM, a novel algorithm that efficiently extracts patterns from students' learning activity sequences. This algorithm extends an existing sequential pattern mining algorithm by dynamically selecting the level of specificity for hierarchically-defined features…
Descriptors: Learning Activities, Learning Processes, Data Collection, Student Behavior
Zervas, Panagiotis; Sampson, Demetrios G.; Aristeidou, Maria – International Association for Development of the Information Society, 2012
Over the past years, several Open Educational Resources (OERs) initiatives have been emerged worldwide aiming to create, share and reuse digital educational resources among educational communities. As a result, organizing, offering and accessing these resources over the web have been key issues for both the research and the educational community.…
Descriptors: Foreign Countries, Open Source Technology, Indexing, Motivation
Lawson, Karen G. – Journal of Academic Librarianship, 2009
Social tagging enables librarians to partner with users to provide enhanced subject access. This paper quantifies and compares LC subject headings from each of 31 different subject divisions with user tags from Amazon.com and LibraryThing assigned to the same titles. The intersection and integration of these schemas is described and evaluated.…
Descriptors: Library Materials, Indexing, Information Retrieval, Classification
Leech, Nancy L.; Onwuegbuzie, Anthony J. – School Psychology Quarterly, 2011
The purposes of this paper are to outline seven types of qualitative data analysis techniques, to present step-by-step guidance for conducting these analyses via a computer-assisted qualitative data analysis software program (i.e., NVivo9), and to present screenshots of the data analysis process. Specifically, the following seven analyses are…
Descriptors: Qualitative Research, Research Methodology, School Psychology, Data Analysis
Adler, Melissa – Journal of Web Librarianship, 2009
Perhaps the greatest power of folksonomies, especially when set against controlled vocabularies like the Library of Congress Subject Headings, lies in their capacity to empower user communities to name their own resources in their own terms. This article analyzes the potential and limitations of both folksonomies and controlled vocabularies for…
Descriptors: Comparative Analysis, Cataloging, Online Catalogs, Library Research
Myung, Jay I.; Pitt, Mark A. – Psychological Review, 2009
Models of a psychological process can be difficult to discriminate experimentally because it is not easy to determine the values of the critical design variables (e.g., presentation schedule, stimulus structure) that will be most informative in differentiating them. Recent developments in sampling-based search methods in statistics make it…
Descriptors: Research Design, Cognitive Psychology, Information Retrieval, Classification
Schultz, Leah – ProQuest LLC, 2009
This study investigates the relationships between the use of a zoom tool, the terms they supply to describe the image, and the type of image being viewed. Participants were assigned to two groups, one with access to the tool and one without, and were asked to supply terms to describe forty images, divided into four categories: landscape, portrait,…
Descriptors: Control Groups, Indexing, Information Retrieval, Visual Aids

Chen, Hsinchun; Fan, Haiyan; Chau, Michael; Zeng, Daniel – Journal of the American Society for Information Science and Technology, 2001
Discusses the difficulty of locating relevant information on the Web and studies two approaches to addressing the low precision and poor presentation of search results: meta-search and document categorization. Introduces MetaSpider, a meta-search engine, and presents results of a user evaluation study that compared three search engines.…
Descriptors: Classification, Comparative Analysis, Information Retrieval, Relevance (Information Retrieval)

Eastman, Caroline M. – Information Processing and Management, 1988
Summarizes the similarities between classification systems for catalog selection and information retrieval systems, and discusses system characteristics that allow the use of measures such as recall and precision in system evaluation. (27 references) (Author/CLB)
Descriptors: Classification, Comparative Analysis, Evaluation Criteria, Evaluation Methods
Katzer, Jeffrey; And Others – 1986
This project examines anaphora (the linguistic device of abbreviated subsequent reference to a concept) in information retrieval (IR) systems in order to develop procedures to recognize anaphors in text and distinguish between anaphoric and non-anaphoric uses of a given term, estimate the number of anaphors appearing in bibliographic records, and…
Descriptors: Abstracts, Algorithms, Classification, Comparative Analysis

Griffiths, Alan; And Others – Journal of Documentation, 1984
Considers classifications produced by application of single linkage, complete linkage, group average, and word clustering methods to Keen and Cranfield document test collections, and studies structure of hierarchies produced, extent to which methods distort input similarity matrices during classification generation, and retrieval effectiveness…
Descriptors: Algorithms, Classification, Cluster Analysis, Cluster Grouping