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Smail, Boussaadi; Aliane, Hassina; Abdeldjalil, Ouahabi – Education and Information Technologies, 2023
The search for relevant scientific articles is a crucial step in any research project. However, the vast number of articles published and available online in digital databases (Google Scholar, Semantic Scholar, etc.) can make this task tedious and negatively impact a researcher's productivity. This article proposes a new method of recommending…
Descriptors: Scientific and Technical Information, Journal Articles, Online Searching, Databases
Dyah Worowirastri Ekowati; Toto Nusantara; Makbul Muksar; Dwi Agus Sudjimat – Pegem Journal of Education and Instruction, 2024
In learning mathematics in the 21st century and after the COVID-19 pandemic, a multimodal role in the process of drawing conclusions involving mathematical symbols or signs is very much needed. This process is called multimodal semiotic reasoning. This research aims to study the literature on multimodal semiotic reasoning research articles. Until…
Descriptors: Semiotics, Mathematics Instruction, Mathematics Skills, Databases
Yan Zhang – International Journal of Information and Communication Technology Education, 2024
Given the current rapid development of informatization, people will increasingly use online teaching methods to learn for their quality improvement. Starting from the fundamental theories, such as the concept, classification, basic process, task, and method of data mining under the background of Internet Plus, this article analyzes the problems…
Descriptors: Vocational Education, Educational Improvement, Web Based Instruction, Teaching Methods
Key Student Nodes Mining in the In-Class Social Network Based on Combined Weighted GRA-TOPSIS Method
Shou, Zhaoyu; Tang, Mengxue; Wen, Hui; Liu, Jinghua; Mo, Jianwen; Zhang, Huibing – International Journal of Information and Communication Technology Education, 2023
In this paper, a key node mining algorithm of entropy-CRITIC combined weighted GRA-TOPSIS method is proposed, which is based on the network structure features. First, the method obtained multi-dimensional data of students' identities, seating relationships, social relationships, and so on to build a database. Then, the seating similarity among…
Descriptors: Social Networks, Algorithms, Network Analysis, Databases
Heaps, H. S.; Schuegraf, E. J. – Information Storage and Retrieval, 1975
Describes the advantages of using variable length equifrequent fragments as the language elements for compression coding of large data bases. (Author)
Descriptors: Algorithms, Databases, Information Storage, Information Systems
Peer reviewedKing, Donald R. – Journal of Library Automation, 1974
The binary vector is suggested as an alternative to the usual method of storing document pointers in an inverted index file. (Author)
Descriptors: Algorithms, Databases, Indexes, Information Retrieval
Peer reviewedFeinman, R. D.; Kwok, K. L. – Journal of the American Society for Information Science, 1973
A study was undertaken to classify mechanically a document collection using the free-language words in titles and abstracts of physics research papers. Using a clustering algorithm, results were obtained which closely duplicated clusters obtained by previous experiments with citations. A brief comparison is made with a traditional manual…
Descriptors: Algorithms, Classification, Cluster Analysis, Databases
Peer reviewedSrinivasan, Uma; Ngu, Anne H. H.; Gedeon, Tom – Journal of the American Society for Information Science, 2000
Introduces a conceptual integration approach to heterogeneous databases or information systems that exploits the similarity in metalevel information and performs metadata mining on database objects to discover a set of concepts that serve as a domain abstraction and provide a conceptual layer above existing legacy systems. Presents results of…
Descriptors: Algorithms, Concept Mapping, Databases, Information Retrieval
Peer reviewedSteinacker, 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
Peer reviewedWirt, Edgar – Journal of Experimental Education, 1987
In negotiating to obtain a sample of records from a computer file, it is important to be able to present a simple program that will produce a representative and valid sample. This article describes two procedures: (1) an interval selection method; and (2) a random numbers file. (JAZ)
Descriptors: Algorithms, Business, Computers, Databases
Peer reviewedShen, Sheldon – Information Processing and Management, 1988
Describes a model for a front end query processor to deal with incomplete information in a database. The effectiveness of the processor in restricting the number of objects to be processed in a query and in aiding the interpretation of a query is discussed. (26 references) (Author/CLB)
Descriptors: Algorithms, Computational Linguistics, Databases, Mathematical Formulas
Peer reviewedKamel, 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
Peer reviewedBenoit, Gerald – Annual Review of Information Science and Technology (ARIST), 2002
Discusses data mining (DM) and knowledge discovery in databases (KDD), taking the view that KDD is the larger view of the entire process, with DM emphasizing the cleaning, warehousing, mining, and visualization of knowledge discovery in databases. Highlights include algorithms; users; the Internet; text mining; and information extraction.…
Descriptors: Algorithms, Databases, Information Science, Internet
O'Neill, Edward T.; Aluri, Rao – 1980
The error-correcting algorithm described was constructed to examine subject headings in online catalog records for common errors such as omission, addition, substitution, and transposition errors, and to make needed changes. Essentially, the algorithm searches the authority file for a record whose primary key exactly matches the test key. If an…
Descriptors: Algorithms, Cataloging, Databases, Information Retrieval
PDF pending restorationRothstein, Jerome – 1977
Addressing the problem of protecting confidential information and data stored in computer databases from access by unauthorized parties, this paper details coding schemes which present such astronomical work factors to potential code breakers that security breaches are hopeless in any practical sense. Two procedures which can be used to encode for…
Descriptors: Algorithms, Codification, Computer Programs, Confidentiality

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