Treffer: Classification trees for document routing. A report on the TREC experiment
Title:
Classification trees for document routing. A report on the TREC experiment
Authors:
Source:
TREC-1: Text Retrieval ConferenceNIST special publication. (500207):209-227
Publisher Information:
Gaithersburg, MD: National Institute of Standards and Technology, 1993.
Publication Year:
1993
Physical Description:
print, 4 ref
Original Material:
INIST-CNRS
Subject Terms:
Science technology, industry, Sciences et technologies, industries, Sciences exactes et technologie, Exact sciences and technology, Sciences et techniques communes, Sciences and techniques of general use, Sciences de l'information. Documentation, Information science. Documentation, Systèmes de recherche d'informations. Système de gestion documentaire et d'information, Information retrieval systems. Information and document management system, Systèmes de recherche d'information, Information retrieval systems, Sciences de l'information et de la communication, Information and communication sciences, Système de recherche documentaire. Système de gestion documentaire et d'information, Informatique documentaire, Documentation data processing, Información documental, Acheminement, Routing, Encaminamiento, Algorithme, Algorithm, Algoritmo, Apprentissage, Learning, Aprendizaje, Arbre décision, Decision tree, Arbol decisión, Classification automatique, Automatic classification, Clasificación automática, Essai, Test, Ensayo, Evaluation performance, Performance evaluation, Evaluación prestación, Evaluation système, System evaluation, Evaluación sistema, Jugement, Judgment, Juicio, Modèle, Models, Modelo, Pertinence, Relevance, Pertinencia, Prototype, Prototipo, Question documentaire, Query, Pregunta documental, Recherche documentaire, Document retrieval, Recuperación documental, Rétroaction, Feedback regulation, Retroacción, Système documentaire, Document retrieval system, Sistema recuperación documental, CART, Orienté sujet, Topic oriented, TREC, Traitement question, Question processing
Document Type:
Konferenz
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Booz. Allen & Hamilton, advanced decision systems, Mountain View CA 94043, United States
ISSN:
1048-776X
Rights:
Copyright 1994 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Sciences of information and communication. Documentation
FRANCIS
FRANCIS
Accession Number:
edscal.3842632
Database:
PASCAL Archive
Weitere Informationen
In this paper we describe an approach to document routing on the TREC corpus that employs a technique for the automatic construction of classification trees. The approach makes use of the Classification and Regression Trees (CART) algorithm that has seen application in various areas of machine learning.