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| Information Processing | 6 |
| Models | 6 |
| Information Retrieval | 4 |
| Knowledge Representation | 2 |
| Age | 1 |
| Algorithms | 1 |
| Automatic Indexing | 1 |
| Citations (References) | 1 |
| Classification | 1 |
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| Information Processing &… | 6 |
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| Burrell, Quentin L. | 1 |
| Caid, William R. | 1 |
| Cortez, Edwin M. | 1 |
| Lam, W. | 1 |
| Li, Hang | 1 |
| Mostafa, J. | 1 |
| Raggad, Bel Gacem | 1 |
| Yamanishi, Kenji | 1 |
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| Journal Articles | 6 |
| Reports - Descriptive | 2 |
| Reports - Evaluative | 2 |
| Reports - Research | 2 |
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Peer reviewedMostafa, 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 reviewedBurrell, Quentin L. – Information Processing & Management, 2003
Extends connections between retrospective citation age studies and reliability theory by considering the failure rate function from reliability, re-interpreted as the age-specific citation rate (ASCR). This is linked to earlier studies of retrospective citation distributions by Egghe and Ravichandra Rao who introduced a function claimed to…
Descriptors: Age, Citations (References), Data Analysis, Failure
Peer reviewedLi, Hang; Yamanishi, Kenji – Information Processing & Management, 2003
Presents a single framework for conducting topic analysis that performs both topic identification and text segmentation. Key characteristics of the framework are: representing a topic by means of a cluster of words closely related to the topic; and employing a stochastic model, called a finite mixture model, to represent a word distribution within…
Descriptors: Content Analysis, Electronic Text, Information Processing, Information Retrieval
Peer reviewedCortez, Edwin M.; And Others – Information Processing & Management, 1995
Proposes an information retrieval system based on a hybrid model consisting of an inductive learning and neural network system. Evaluates the system's responses to incomplete queries and inconsistent indexing. Query terms, discriminant descriptors, and the American Documentation Institute's query and document titles used in the evaluation are…
Descriptors: Indexing, Induction, Information Networks, Information Processing
Peer reviewedCaid, William R.; And Others – Information Processing & Management, 1995
The Latent Semantic Indexing and MatchPlus systems examine similar contexts in which words appear and create representational models that capture the similarity of meaning of terms and then use the representation for retrieval. Text Retrieval Conference experiments using these systems demonstrate the computational feasibility of using…
Descriptors: Automatic Indexing, Computation, Conferences, Context Effect
Peer reviewedRaggad, Bel Gacem – Information Processing & Management, 1996
A consultation quality control model (CQCM) developed for an expert system (ES) integrated both ES performance measures and end-user judgment values. Simple decision theory concepts were used to design the CQCM. Results show end users belong to different categories characterized by utility functions and the weights they assign to ES consultation…
Descriptors: Computer System Design, Decision Making, Expert Systems, Information Processing
