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Article: AUTOMATED APPROACH TO THE DESIGN OF DECISION TREE CLASSIFIERS.
Title | AUTOMATED APPROACH TO THE DESIGN OF DECISION TREE CLASSIFIERS. |
---|---|
Authors | |
Keywords | Automated decision tree design decision tree classifier dimensionality reduction Landsat multispectral scanner (MSS) data classification pattern recognition table look-up classifier |
Issue Date | 1982 |
Publisher | I E E E. The Journal's web site is located at http://www.computer.org/tpami |
Citation | Ieee Transactions On Pattern Analysis And Machine Intelligence, 1982, v. PAMI-4 n. 1, p. 51-57 How to Cite? |
Abstract | The classification of large dimensional data sets arising from the merging of remote sensing data with more traditional forms of ancillary data causes a significant computational problem. Decision tree classification is a popular approach to the problem. This type of classifier is characterized by the property that samples are subjected to a sequence of decision rules before they are assigned to a unique class. If a decision tree classifier is well designed, the result in many cases is a classification scheme which is accurate, flexible, and computationally efficient. This work provides an automated technique for effective decision tree design which relies only on a priori statistics. This procedure utilizes canonical transforms and Bayes table look-up decision rules. An optimal design at each node is derived based on the associated decision table. A procedure for computing the global probability of correct classification is also provided. |
Persistent Identifier | http://hdl.handle.net/10722/178129 |
ISSN | 2023 Impact Factor: 20.8 2023 SCImago Journal Rankings: 6.158 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Argentiero, Peter | en_US |
dc.contributor.author | Chin, Roland | en_US |
dc.contributor.author | Beaudet, Paul | en_US |
dc.date.accessioned | 2012-12-19T09:43:01Z | - |
dc.date.available | 2012-12-19T09:43:01Z | - |
dc.date.issued | 1982 | en_US |
dc.identifier.citation | Ieee Transactions On Pattern Analysis And Machine Intelligence, 1982, v. PAMI-4 n. 1, p. 51-57 | en_US |
dc.identifier.issn | 0162-8828 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/178129 | - |
dc.description.abstract | The classification of large dimensional data sets arising from the merging of remote sensing data with more traditional forms of ancillary data causes a significant computational problem. Decision tree classification is a popular approach to the problem. This type of classifier is characterized by the property that samples are subjected to a sequence of decision rules before they are assigned to a unique class. If a decision tree classifier is well designed, the result in many cases is a classification scheme which is accurate, flexible, and computationally efficient. This work provides an automated technique for effective decision tree design which relies only on a priori statistics. This procedure utilizes canonical transforms and Bayes table look-up decision rules. An optimal design at each node is derived based on the associated decision table. A procedure for computing the global probability of correct classification is also provided. | en_US |
dc.language | eng | en_US |
dc.publisher | I E E E. The Journal's web site is located at http://www.computer.org/tpami | en_US |
dc.relation.ispartof | IEEE Transactions on Pattern Analysis and Machine Intelligence | en_US |
dc.subject | Automated decision tree design | - |
dc.subject | decision tree classifier | - |
dc.subject | dimensionality reduction | - |
dc.subject | Landsat multispectral scanner (MSS) data classification | - |
dc.subject | pattern recognition | - |
dc.subject | table look-up classifier | - |
dc.title | AUTOMATED APPROACH TO THE DESIGN OF DECISION TREE CLASSIFIERS. | en_US |
dc.type | Article | en_US |
dc.identifier.email | Chin, Roland: rchin@hku.hk | en_US |
dc.identifier.authority | Chin, Roland=rp01300 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.scopus | eid_2-s2.0-0019914557 | en_US |
dc.identifier.volume | PAMI-4 | en_US |
dc.identifier.issue | 1 | en_US |
dc.identifier.spage | 51 | en_US |
dc.identifier.epage | 57 | en_US |
dc.identifier.isi | WOS:A1982MY53400009 | - |
dc.publisher.place | United States | en_US |
dc.identifier.scopusauthorid | Argentiero, Peter=6603589576 | en_US |
dc.identifier.scopusauthorid | Chin, Roland=7102445426 | en_US |
dc.identifier.scopusauthorid | Beaudet, Paul=6603477658 | en_US |
dc.identifier.issnl | 0162-8828 | - |