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Showing 1 to 15 of 30 results Save | Export
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Wu, Charley M.; Meder, Björn; Filimon, Flavia; Nelson, Jonathan D. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
While the influence of presentation formats have been widely studied in Bayesian reasoning tasks, we present the first systematic investigation of how presentation formats influence information search decisions. Four experiments were conducted across different probabilistic environments, where subjects (N = 2,858) chose between 2 possible search…
Descriptors: Questioning Techniques, Information Seeking, Search Strategies, Search Engines
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
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Willson, Rebekah; Given, Lisa M. – Information Research: An International Electronic Journal, 2014
Introduction: This paper presents a qualitative exploration of university students' experience of searching an online public access catalogue. The study investigated how students conceptualise their searching process, as well as how students understand themselves as seekers of information. Method: Following a search task, thirty-eight…
Descriptors: Online Searching, Self Concept, Online Systems, Coding
Michalski, Greg V. – Association for Institutional Research (NJ1), 2011
Excessive college course withdrawals are costly to the student and the institution in terms of time to degree completion, available classroom space, and other resources. Although generally well quantified, detailed analysis of the reasons given by students for course withdrawal is less common. To address this, a text mining analysis was performed…
Descriptors: College Instruction, Courses, Withdrawal (Education), College Students
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Maabreh, Majdi A.; Al-Kabi, Mohammed N.; Alsmadi, Izzat M. – Program: Electronic Library and Information Systems, 2012
Purpose: This study is an attempt to develop an automatic identification method for Arabic web queries and divide them into several query types using data mining. In addition, it seeks to evaluate the impact of the academic environment on using the internet. Design/methodology/approach: The web log files were collected from one of the higher…
Descriptors: Semitic Languages, Web Sites, Search Engines, Classification
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Sutton, Stuart A. – Journal of the American Society for Information Science, 1994
Examines the information seeking and evaluative behavior of attorneys and explores the dynamic mental models attorneys construct. Highlights include domain-specific relevance; cognitive maps; current research on the retrieval performance of two full-text legal databases, LEXIS and WESTLAW; and implications of attorneys' mental models for legal…
Descriptors: Classification, Cognitive Mapping, Court Litigation, Full Text Databases
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Derr, Richard L. – RQ, 1984
Identifies two fundamental properties of questions, i.e., they have a structure that consists of a subject and a query, and they presuppose a limited number of basic categories of human thought. A system for classifying questions by conceptual presupposition is proposed to assist information professionals in handling user questions effectively.…
Descriptors: Classification, Content Analysis, Information Needs, Information Retrieval
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Miyamoto, Sadaaki – Journal of the American Society for Information Science, 1998
Develops a method of rough retrieval, an application of the rough set theory to information retrieval. The aim is to: (1) show that rough sets are naturally applied to information retrieval in which categorized information structure is used; and (2) show that a fuzzy retrieval scheme is induced from the rough retrieval. (AEF)
Descriptors: Classification, Cluster Analysis, Information Retrieval, Information Seeking
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Lingras, P. J.; Yao, Y. Y. – Journal of the American Society for Information Science, 1998
Examines basic issues of data mining using the theory of rough sets, a recent proposal for generalizing classical set theory. Demonstrates that a generalized rough set model can be used for generating rules from incomplete databases. Discusses the importance of rule extraction from incomplete databases in data mining. (AEF)
Descriptors: Classification, Databases, Information Retrieval, Information Seeking
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Ring, Malvin E. – Special Libraries, 1971
The Index to Dental Literature" is evaluated in terms of its classification system, its standardization of nomenclature, its use of cross references and its effectiveness in machine-searching for information. (Author)
Descriptors: Classification, Dentistry, Evaluation, Indexes
Morris, Theodore – Proceedings of the ASIST Annual Meeting, 2001
Term co-occurrence analysis of INSPEC classification codes and thesaurus terms used to index Medical Informatics literature reveals an information science and technology perspective on the field, to accompany the biomedical perspective previously reported. This study continues the search for a better understanding of the structure of Medical…
Descriptors: Biomedicine, Classification, Databases, Indexes
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Davies, Roy – Journal of Documentation, 1989
Reviews previous work on producing knowledge by the use of information retrieval or classification schemes, and describes techniques by which hidden knowledge may be retrieved, i.e., serendipity in browsing and use of appropriate search strategies. Possible future methods based on relational indexing or artificial intelligence are also explored.…
Descriptors: Artificial Intelligence, Classification, Futures (of Society), Indexing
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Goodrum, Abby A.; Rorvig, Mark E.; Jeong, Ki-Tai; Suresh, Chitturi – Journal of the American Society for Information Science and Technology, 2001
Proposes methods to utilize image primitives to support term assignment for image classification. Proposes to release code for image analysis in a common tool set for other researchers to use. Of particular focus is the expansion of work by researchers in image indexing to include image content-based feature extraction capabilities in their work.…
Descriptors: Access to Information, Classification, Data Analysis, Databases
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Sieverts, Eric G.; Hofstede, Marten – Electronic Library, 1991
Five categories of microcomputer software for information storage and retrieval (ISR) are distinguished and characterized: classical retrieval systems; end-user software; indexing programs; full-text retrieval programs; and personal information managers. In addition, the special retrieval techniques of hypertext and best-matched searching are…
Descriptors: Classification, Computer Software, Gateway Systems, Hypermedia
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