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Showing 1 to 15 of 176 results Save | Export
Gulsoy, Gunhan – ProQuest LLC, 2013
New experimental methods has resulted in increasing amount of genetic interaction data to be generated every day. Biological networks are used to store genetic interaction data gathered. Increasing amount of data available requires fast large scale analysis methods. Therefore, we address the problem of querying large biological network datasets.…
Descriptors: Biological Sciences, Biomedicine, Databases, Genetics
Yuan, Dayu – ProQuest LLC, 2013
Graphs are widely used to model structures and relationships of objects in various scientific and commercial fields. Chemical molecules, proteins, malware system-call dependencies and three-dimensional mechanical parts are all modeled as graphs. In this dissertation, we propose to mine and index those graph data to enable fast and scalable search.…
Descriptors: Graphs, Data Collection, Information Retrieval, Databases
Song, Sang Chul – ProQuest LLC, 2010
An unprecedented amount of information encompassing almost every facet of human activities across the world is generated daily in the form of zeros and ones, and that is often the only form in which such information is recorded. A good fraction of this information needs to be preserved for periods of time ranging from a few years to centuries.…
Descriptors: Information Needs, Information Sources, Indexing, Access to Information
Peer reviewed Peer reviewed
Rosen, Carol Z. – Journal of Chemical Documentation, 1973
An experimental procedure for indexing physical materials based on simple syntactical rules was tested by encoding the materials in the journal, Applied Physics Letters,'' to produce a materials index. The syntax and numerous examples together with an indication of the method by which retrieval can be effected are presented. (5 references)…
Descriptors: Indexes, Indexing, Information Retrieval, Information Storage
GOLDWYN, A.J.; AND OTHERS – 1966
A THESAURUS OF EDUCATIONAL TERMS WAS PRODUCED TO PROVIDE A TERMINOLOGY BASE WHICH WOULD BE AMENABLE TO RAPID AND EASY MODIFICATION AND UPDATING. THE PRIMARY SOURCE OF TERMS WAS A SEMANTIC CODE DICTIONARY, PREVIOUSLY CREATED DURING THE INDEXING OF SOME 6,500 EDUCATIONAL RESEARCH DOCUMENTS. A FACETED STRUCTURE WAS CREATED. THE DISPLAY CONSISTED OF…
Descriptors: Educational Research, Indexing, Information Retrieval, Information Storage
Farradane, J.; And Others – Information Storage and Retrieval, 1973
The use of a structured system of storing information, particularly relational indexing, can lead to situations in which items would not be retrieved due to technicalities of the system. To overcome such problems a study was made of condensations with the aim of providing a series of rules to apply. (4 references) (Author/SJ)
Descriptors: Indexing, Information Retrieval, Information Storage, Relevance (Information Retrieval)
Peer reviewed Peer reviewed
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Frydenberg, Mark; Press, Larry – Information Systems Education Journal, 2010
Computer literacy has evolved from writing simple BASIC programs to using desktop productivity applications. The shift from mainframe to personal computer brought about the need to rethink computer literacy courses to introduce basic skills and familiarity using desktop productivity applications. While these skills remain important, the recent…
Descriptors: Computer Literacy, Web 2.0 Technologies, Information Technology, Computer Science Education
Peer reviewed Peer reviewed
Steinacker, Ivo – Journal of the American Society for Information Science, 1974
An algorithm is proposed to solve the problem of sequential indexing which does not use any grammatical or semantic analysis, but follows the principle of emulating human judgement by evaluation of machine-recognizable attributes of structured word assemblies. (Author)
Descriptors: Algorithms, Automatic Indexing, Databases, Indexing
Landry, Bertrand C.; Rusk, James E. – J Amer Soc Info Sci, 1970
Deals with the relationship between a theory of indexing and a theory of information storage and retrieval. Attention is directed to the view that indexing is an order increasing operation, and some thermodynamic notions are invoked to aid in this description. (MF)
Descriptors: Classification, Indexes, Indexing, Information Retrieval
Artandi, Susan; Wolf, Edward H. – Amer Doc, 1969
Descriptors: Automation, Computers, Indexing, Information Retrieval
Dataflow Systems Inc., Bethesda, MD. – 1971
Indexing and abstracting can be thought of as a way of modeling an actual document or textual item. Both are miniature versions of the actual thing. Normally, the indexing model is used to locate desired information, while the abstracting model is used as a screening medium to help the searcher decide which of the apparently correct actual items…
Descriptors: Abstracting, Data Processing, Indexing, Information Retrieval
Peer reviewed Peer reviewed
Meincke, Peter P. M.; Atherton, Pauline – Journal of the American Society for Information Science, 1976
Proposes a new conceptual basis for visualizing the organization of information, or knowledge, which differentiates between the concept "vectors" for a field of knowledge represented in a multidimensional space, and the state "vectors" for a person based on his understanding of these concepts, and the representational…
Descriptors: Classification, Conceptual Schemes, Indexing, Information Retrieval
Robertson, Stephen E. – Drexel Library Quarterly, 1978
Describes recent attempts to make explicit connections between the indexing process and the use of the index or information retrieval system, particularly the utility-theoretic and automatic indexing models of William Cooper and Stephen Harter. Theory and performance, information storage and retrieval, search stage feedback, and indexing are also…
Descriptors: Indexing, Information Retrieval, Information Storage, Models
Peer reviewed Peer reviewed
Chang, Roy – Library Software Review, 1993
Provides an overview of indexing in database management systems to provide librarians with more understanding of the possibilities and limitations of current information systems. Sequential, direct, indexed sequential, and virtual sequential file accessing methods are explained, and various binary tree structures are described. (EAM)
Descriptors: Database Management Systems, Indexing, Information Retrieval, Information Storage
Howard Research Co., Arlington, VA. – 1966
This report presents the identification and definitions of subject oriented engineering and scientific disciplines and fields which are included in the EDIS Subject Categories. The discussion is extended to include the mix of subjects with other orientations, such as Item, Mission-Project, Expertise and Data Bank Categories. Sample queries are…
Descriptors: Classification, Engineering, Indexing, Information Retrieval
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