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Sabitha, Sai; Mehrotra, Deepti; Bansal, Abhay – Interdisciplinary Journal of E-Learning and Learning Objects, 2014
Today Learning Management Systems (LMS) have become an integral part of learning mechanism of both learning institutes and industry. A Learning Object (LO) can be one of the atomic components of LMS. A large amount of research is conducted into identifying benchmarks for creating Learning Objects. Some of the major concerns associated with LO are…
Descriptors: Data Collection, Integrated Learning Systems, Delivery Systems, Mathematics
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Agacy, R. L. – International Journal of Mathematical Education in Science and Technology, 2005
It is known that any totally skew quantity with (n + 1) indices, each of which ranges over n values, vanishes identically. The aim of this short note is to show that this is equivalent to the simple fact that any (n + 1) vectors in an n-dimensional vector space are linearly dependent.
Descriptors: Cluster Grouping, Information Retrieval
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Shaw, W. M., Jr. – Information Processing and Management, 1990
Investigates the presence of clustering structure in a document collection and the influence of the presence of clustering structure on the success of cluster-based retrieval. Term-weight and similarity thresholds are discussed, empirical and statistical significance are considered, and indexing exhaustivity for document representation is…
Descriptors: Cluster Grouping, Documentation, Indexing, Information Retrieval
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Murtagh, F. – Information Processing and Management, 1984
Using examples of data from the areas of information retrieval and of multivariate data analysis, six hierarchic clustering algorithms (single link, median, centroid, group average, complete link, Wards's) are examined and evaluated by using three proposed coefficients of hierarchic structure. Nine references are cited. (EJS)
Descriptors: Algorithms, Cluster Analysis, Cluster Grouping, Data Analysis
van Rijsbergen, C. J. – Drexel Library Quarterly, 1978
Addresses the application of automatic classification methods to the problems associated with computerized document retrieval. Different kinds of classifications are described, and both document and term clustering methods are discussed. References and notes are provided. (Author/JD)
Descriptors: Cluster Grouping, Essays, Information Retrieval, Problems
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Kamel, M.; And Others – Information Processing and Management, 1990
Discusses the problem of processing fuzzy queries in databases and information retrieval systems and presents a prototype of a fuzzy query processing system for databases that is based on data clustering and uses Pascal programing language. Clustering schemes are explained, and the system architecture that uses natural language is described. (14…
Descriptors: Algorithms, Cluster Grouping, Computer System Design, Databases
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Levine, Marilyn M.; Levine, Leonard P. – Information Processing and Management, 1984
Presents system for automatic handling of ordered sets, states based on these sets, and differing points of view regarding Universe of Discourse. Aspects are represented by new logical "overlap" function with examples taken from Ranganathan's horse and carriage parable and several books involving four main concepts (history, geography,…
Descriptors: Cluster Analysis, Cluster Grouping, Diagrams, Information Retrieval
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Tombros, Anastasios; Villa, Robert; Van Rijsbergen, C. J. – Information Processing & Management, 2002
Discusses hierarchic document clustering in information retrieval and its potential improved effectiveness over inverted file search (IFS). Describes experiments conducted to determine whether hierarchic clustering can increase the retrieval effectiveness compared to both static clustering and of conventional IFS when it is applied to search…
Descriptors: Cluster Grouping, Comparative Analysis, Information Retrieval, Online Searching
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Willett, Peter – Journal of the American Society for Information Science, 1984
Describes a cluster-based information retrieval procedure that can significantly reduce the computational requirements of the single linkage method, while still maintaining the retrieval effectiveness of the resulting classifications. Use of nearest neighbors, experimental details, and results and conclusions are highlighted. Fourteen references…
Descriptors: Cluster Analysis, Cluster Grouping, Information Retrieval, Relevance (Information Retrieval)
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Attar, Rony; Fraenkel, Aviezri S. – Information Processing and Management, 1981
Describes a method of iterative searching that uses local metrical clustering in the formulation of additional searches by producing searchonyms, terms which are synonymous to keywords in the context of a single query. The method was applied to a database containing Hebrew and Aramaic text. Seven references are listed. (FM)
Descriptors: Bibliographies, Cluster Grouping, Information Retrieval, Keywords
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Harding, Alan F.; Willett, Peter – Journal of the American Society for Information Science, 1980
Demonstrates that the process of comparing each document in an automated system with all others during the classification procedure may be avoided by the use of an inverted file. (FM)
Descriptors: Automatic Indexing, Classification, Cluster Grouping, Information Retrieval
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Rasmussen, Edie M.; And Others – Information Processing and Management, 1991
This issue contains nine articles that provide an overview of trends and research in parallel information retrieval. Topics discussed include network design for text searching; the Connection Machine System; PThomas, an adaptive information retrieval system on the Connection Machine; algorithms for document clustering; and system architecture for…
Descriptors: Algorithms, Cluster Grouping, Computer Networks, Computer System Design
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Croft, W. Bruce – Journal of the American Society for Information Science, 1979
Describes ways of using Boolean questions with a clustered information file, and reviews an experiment studying the effect of such a retrieval method. (FM)
Descriptors: Cluster Grouping, Information Retrieval, Information Storage, Information Systems
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Bayer, Alan E.; And Others – Journal of the American Society for Information Science, 1990
Discusses the intellectual structure of the sciences and describes a study that was conducted to test the usefulness of author cocitation analysis for empirically deriving groupings of intellectual leaders in the field of sociology. Results are contrasted with traditional subjective methods of codification of a field. (35 references) (LRW)
Descriptors: Authors, Citation Analysis, Cluster Grouping, Codification
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van Rijsbergen, C. J.; And Others – Information Processing and Management, 1981
Describes the use of relevance feedback to select additional search terms and discusses the extraction of these terms from a maximum spanning tree connecting all terms in the index term vocabulary; retrieval effectiveness for different spanning trees is shown to be similar. Eight references are included. (Author/BK)
Descriptors: Cluster Grouping, Feedback, Information Retrieval, Mathematical Formulas
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