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Carrara, Paola; Fresta, Giuseppe; Rampini, Anna – Information Processing & Management, 2003
Discusses the need for tools that analyze Earth changes in time ranges, and describes a data structure for creating and managing archives of thematic maps derived by classifying remotely sensed images by soft techniques (soft maps). Considers time-based models and provides an example of the new data structure. (Author/LRW)
Descriptors: Classification, Environmental Research, Information Retrieval, Maps
Peer reviewed Peer reviewed
Mostafa, J.; Lam, W. – Information Processing & Management, 2000
Presents a multilevel model of the information filtering process that permits document classification. Evaluates a document classification approach based on a supervised learning algorithm, measures the accuracy of the algorithm in a neural network that was trained to classify medical documents on cell biology, and discusses filtering…
Descriptors: Algorithms, Classification, Cytology, Evaluation Methods
Peer reviewed Peer reviewed
Kim, Yongbeom – Information Processing & Management, 1997
Discussion of software reusability focuses on classification and retrieval problems and proposes a method based on encoding semantic information to help solve those problems. Highlights include representation of semantic information; quiddity; the SRM (software resource model) and SRD (software resource diagram); and results of experiments with…
Descriptors: Classification, Computer Software, Diagrams, Higher Education
Peer reviewed Peer reviewed
Losee, Robert M. – Information Processing & Management, 1997
Proposes a model for digital library and hypermedia organizations that is adaptive, providing different conceptual orderings to support browsing for different individuals' or groups' needs. Highlights include types of links, document ordering and the Gray code (a binary programming code), adaptive classification, and an economic model for document…
Descriptors: Classification, Documentation, Electronic Libraries, Hypermedia
Peer reviewed Peer reviewed
Shapira, Bracha; And Others – Information Processing & Management, 1997
Using statistical stereotypes may be a means of improving the effectiveness of information-filtering systems that are based on user profiles. Highlights include information and expert systems that use stereotypes, assigning users to stereotypes, integrating stereotypes into a model for information filtering, and future research. (Author/LRW)
Descriptors: Classification, Expert Systems, Information Systems, Models