I S K O

Knowledge organization literature. Selected items

Your search for class 258 Application of Numerical Taxonomy in Special Subject Fields found the 18 items below.       [new search]

Items on this class as the base theme

6420   2009-0540numerical taxonomy in258
Cheng, Chin Pang, et al. – Improving access to and understanding of regulations through taxonomies (Lang.: eng). - In: Government information quarterly, 26(2009)2, pp.238-245.

11961   1995-0159numerical taxonomy in258
Young, S.J.; Woodland,P.C.. – State clustering in hidden Markov model-based continuous speech recognition (Lang.: eng). - In: Computer Speech and Language. (1994)8,p.369-383.

12056   1995-0376numerical taxonomy inpure chemistry258-26
Attias, R.; Petitjean, M. – Statistical analysis of atom topological neighourhoods and multivariate representation of a large chemical file (Lang.: eng). - In: J.Chem.Inform.& Comput.Sci. Vol. 33. No. 5. 1993. p.649-56.

11768   1994-0874numerical taxonomy in258-327
Janssen, L.L.F.; Wel, F.J.M. van der. – Accuracy assessment of satellite derived land-cover data: a review (Lang.: eng). - In: Photogramm.Eng.Remote Sensing. 60(1994)4,p.419-426. Accuracy assessment of land-cover classifications derived froom remote sensing data has been recognized as a valuable tool in judging the fitness of these data for a particular application. The article aims at contributing to this discussion by means of a review based on a division into positional and thematic accuracy. (Author, abbr.)

10278   1990-1-097numerical taxonomy ingeography258-39
Vogel, F.; Forschungsstelle für Numerische Klassifikation. – Unterentwicklung - Entwicklung.Eine Studie zur Einteilung der Länder anhand von Merkmalen aus den Bereichen 'Wirtschaft' und 'Bevölkerkung und ik' sowie 'Grundbedürfnisse und Soziales' 'Polit (Lang.: ger). - Bamberg, DE, Universität, 1989. – pp. 127.

10869   1990-0897numerical taxonomy ingeography258-39
Benediktsson, J.A.; Swain, P.H. – Consensus theoretic classification methods (Lang.: eng). - In: IEEE Transact.on Syst.,Man &.Vol.22.No.4.1992.p.688-704. Adoption of the consensus theory for classifying geographic data from multiple sources

11629   1993-0897numerical taxonomy ingeography258-39
Benediktsson, J.A.; Swain, P.H.. – Consensus theoretic classification methods (Lang.: eng). - In: IEEE Transact.on Syst.,Man &... Vol. 22. No. 4. p.688-704. Adoption of the consensus theory for classifying geographic data from multiple sources.

12234   1995-0767conceptologysystems theory258-51/4
Chute, C.G.; Yang, Y. – An overview of statistical methods for the classification and retrieval of patient events (Lang.: eng). - In: Meth.Inform.in Medicine. Vol. 34. No. 1/2. 1995. p.104-110. A least squares fit alternative for the computer assisted indexing and retrieval of biomedical texts was developed. The technique demonstrated equivalent or superior retrieval performance when compared to all other textual retrieval techniques

10963   1990-1-098numerical taxonomy in258-513
Liang, J.J.; Clarson, V. – A new approach to classification of brainwaves (Lang.: eng). - In: Pattern Recognition.Vol.22.No.6.1989.p.767-774.

10870   1990-0898numerical taxonomy inspecial medicine258-53
Shaw, W.M.Jr. – Controlled and uncontrolled subject descriptions in the CF database: A comparison of optimal cluster-based retrieval results (Lang.: eng). - In: Inform.Process.& Management.Vol.29.No.6.1993.p.751-763.

11630   1993-0898numerical taxonomy inspecial medicine258-53
Shaw, W.M.Jr.. – Controlled and uncontrolled subject descriptions in the CF database: A comparison of optimal cluster-based retrieval results (Lang.: eng). - In: Inform.Process.& Management. Vol. 29. No. 6. p.751-763.

12640   1996-1021numerical taxonomy inbuilding258-75
Kirriemuir, J.W.; Willett, P.. – Clustering the output of multi-database online searches (Lang.: eng). - In: Inform.Research Notes. Vol. 5, No. 2. 1994. p.12-17.

12235   1995-0768numerical taxonomy in258-823
Grivel, L.; Mutschke, P., Polanco, X. – Thematic mapping on bibliographic databases by cluster analysis: A description of the SDOC environment with SOLIS (Lang.: eng). - In: Knowl.Org. Vol. 22. No. 2. 1995. p.70-77. A co-word analysis-based system called SDOC is presented which is able to support the intellectual work of an end-user who is searching in a bibliographic database. This is done by presenting its thematical structure as a map of keyword clusters (themes). on a graphical user interface. These mapping facilities are demonstrated on the basis of the research field Social History given by a set of documents from the social science literature database SOLIS

11960   1995-0158numerical taxonomy inlinguistics258-91
McDermott, E.; Katagiri, Sh.. – Prototype-based minimum classification error/generalized probabilistic descent training for various speech units (Lang.: eng). - In: Computer Speech and Language. (1994)8,p.351-368.

12641   1996-1022numerical taxonomy in258-918
Holman, E.W.. – Quantitative properties of the evolution and classification of languages (Lang.: eng). - In: J. Classif. Vol. 13, No. 1. 1996. p.27-56.

12642   1996-1023numerical taxonomy in258-992
Ledger, G.. – An exploration of differences in the Pauline Epistles using multivariate statistical analysis (Lang.: eng). - In: Literary & Linguistic Comput. Vol. 10, No. 2. 1995. p.85-97.

11959   1995-0157258, 753
Kirriemuir, J.W.; Willett, P.. – Clustering the output of multi-database online searches (Lang.: eng). - In: Inform.Research Notes. 5(1994)2,p.12-17.

12057   1995-0377258. 932
Dou, H.; Hassanaly, P., Huot, C., Coupet, P. – Advanced services through INTERNET network (Lang.: eng). - In: Cahiers de la Documentation. No. 4. 1994. p.159-165. Proposal to use statistical classification procedures on downloaded data from the Internet in order to openthe way to new information packages

 



 

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