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Olsen, Jennifer; Aleven, Vincent; Rummel, Nikol – Journal of Educational Measurement, 2017
Within educational data mining, many statistical models capture the learning of students working individually. However, not much work has been done to extend these statistical models of individual learning to a collaborative setting, despite the effectiveness of collaborative learning activities. We extend a widely used model (the additive factors…
Descriptors: Mathematical Models, Information Retrieval, Data Analysis, Educational Research
Träff, Ulf; Skagerlund, Kenny; Olsson, Linda; Östergren, Rickard – British Journal of Educational Psychology, 2017
Background: Developing sufficient mathematical skills is a prerequisite to function adequately in society today. Given this, an important task is to increase our understanding regarding the cognitive mechanisms underlying young people's acquisition of early number skills and formal mathematical knowledge. Aims: The purpose was to examine whether…
Descriptors: Adolescents, Females, Arithmetic, Mathematics Skills
Wolf, Michael Maclean – ProQuest LLC, 2009
Combinatorial scientific computing plays an important enabling role in computational science, particularly in high performance scientific computing. In this thesis, we will describe our work on optimizing matrix-vector multiplication using combinatorial techniques. Our research has focused on two different problems in combinatorial scientific…
Descriptors: Computer Science, Matrices, Mathematical Models, Geometric Concepts
Tenenbein, Aaron – Information Storage and Retrieval, 1974
The binary search scheme is a method of finding a particular file from a set of ordered files stored in a computer. In this article an exact expression for the expected number of passes required to find a file is derived. (Author)
Descriptors: Information Retrieval, Mathematical Models, Search Strategies
Peer reviewedBookstein, Abraham; Cooper, William – Library Quarterly, 1976
Presents a mathematical model of an information retrieval system thought to be general enough to serve as an abstract representation of most document and reference retrieval systems. The model is made up of four components that, in one form or another, appear in every functioning system. (Author)
Descriptors: Information Retrieval, Information Systems, Mathematical Models
Peer reviewedTahani, Valiollah – Information Processing and Management, 1976
This paper is concerned with the organization and retrieval of records in document retrieval systems which admit of imprecision in the form of fuzziness in document characterization and retrieval rules. A mathematical model for such systems, based on the theory of fuzzy sets, is introduced. (Author)
Descriptors: Information Retrieval, Information Systems, Mathematical Models
Peer reviewedBookstein, Abraham; Swanson, Don R. – Journal of the American Society for Information Science, 1975
A model of word occurrences in documents is presented in the context of a model information system. (Author/PF)
Descriptors: Indexing, Information Retrieval, Information Systems, Mathematical Models
Peer reviewedGlockmann, H. P.; Ludwig, B. M. – Journal of the American Society for Information Science, 1975
A statistical description of a text retrieval system allows the derivation of a unique and measurable performance criterion that, in turn, may be used in discussing various parameters of systems performance. (Author/PF)
Descriptors: Databases, Information Retrieval, Mathematical Models, Statistical Analysis
Peer reviewedPrade, Henri; Testemale, Claudette – Journal of the American Society for Information Science, 1987
Compares and expands upon two approaches to dealing with fuzzy relational databases. The proposed similarity measure is based on a fuzzy Hausdorff distance and estimates the mismatch between two possibility distributions using a reduction process. The consequences of the reduction process on query evaluation are studied. (Author/EM)
Descriptors: Comparative Analysis, Databases, Information Retrieval, Mathematical Models
Peer reviewedRadecki, Tadeusz – Information Processing and Management, 1976
The application of the theory of fuzzy sets to the description of information retrieval systems makes it possible (1) to take into account the fact that the degree of importance of the particular terms is of a continuous character, (2) to formalize the relations between terms describing documents and information requests (fuzzy thesaurus).…
Descriptors: Information Retrieval, Mathematical Models, Set Theory, Thesauri
Turski, Wladyslaw M. – Information Storage and Retrieval, 1972
Using abstract models of thesaurus-based and multi-attribute retrieval systems a correspondence between the two systems is established so that equivalent transformation of problem statements expressed by notions developed for one system into problem statements expressed by notions pretaining to the other one may be effectively constructed. (5…
Descriptors: Information Retrieval, Information Systems, Mathematical Models, Thesauri
Tague, Jean M. – Information Storage and Retrieval, 1973
A probabilistic model for interactive retrieval is presented. Bayesian statistical decision theory principles are applied: use of prior and sample information about the relationship of document descriptions to query relevance; maximization of expected value of a utility function, to the problem of optimally restructuring search strategies in an…
Descriptors: Bayesian Statistics, Information Retrieval, Mathematical Models, Probability
Takahama, Tadahiko – Information Storage and Retrieval, 1973
The theoretical model of a document retrieval system is described by giving logical meaning to the vagueness and the similarity characteristic to such systems, with the frequency of occurrences of keywords and the relations among them taken into consideration. (6 references) (Author/SJ)
Descriptors: Information Retrieval, Information Systems, Keywords, Mathematical Models
Peer reviewedHeine, M. H. – Journal of the American Society for Information Science, 1974
Swets' theory of information retrieval allows the threads of document weighting formulae, probabilistic measures of effectiveness, and management theory, to be woven into a coherent pattern. Benefits are: the beginnings of a quantitative description of retrieval languages; destinction between retrieval systems and language; and question generality…
Descriptors: Documentation, Information Retrieval, Mathematical Models, Probability
Peer reviewedRobertson, S. E. – Journal of Documentation, 1974
Poses questions concerning methods of using specificity information in a weighting scheme. (JB)
Descriptors: Documentation, Information Retrieval, Mathematical Models, Relevance (Information Retrieval)

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