I S K O

Knowledge organization literature. Selected items

Your search for class 246 Weights found the 19 items below.       [new search]

Items on this class as the base theme

28   1997-1-0028weights • 246
Robertson, A.M., Willett, P. – An upperbound to the performance of ranked output searching: optimal weighting of query terms using a genetic algorithm (Lang.: eng). - In: Journal of documentation Vol.52, No.4 1996, p.405-420.

5676   2008-0221weights • 246
Wolfram, D., Zhang, J. – The influence of indexing practices and weighting algorithms on document spaces (Lang.: eng). - In: Journal of the American Society for Information Science & Technology, 59(2008)1, p.3-11.

9247   weights • 246
Wang, B.K., et al. – Short text classification based on strong feature thesaurus (Lang.: eng). - In: Journal Zhejiang University Science C, 9(2012), pp. 649-659.

10721   1990-2-126weights • 246
Robertson, S.E.; Sparck Jones, K. – Relevance weighting of search terms (Lang.: eng). - In: Document Retrieval Systems.1988.p.143-160.London, GB, Taylor Graham,

12400   1996-0177weights • 246
Liang, T.; Lee, S.-Y., Yang, W.-P.. – Optimal weight assignment for a Chinese signature file (Lang.: eng). - In: Inform.Process.& Management. Vol. 32, No. 2. 1996. p.227-237.

17250   weights • 246
Wu, Haibing; Gu, Xiaodong; Gu, Yiwei. – Balancing between over-weighting and under-weighting in supervised term weighting (Lang.: eng). - In: Information Processing and Management, 53(2017)2, pp. 547-557. – Available at http://dx.doi.org/10.1016/j.ipm.2016.10.003

12398   1996-0175246, 252
Gnanadesika, R.; Kettenring, J.R., Tsao, S.L.. – Weighting and selection of variables for cluster analysis (Lang.: eng). - In: J.Classif. Vol. 12, No. 1. 1995. p.113-136. One of the thorniest aspects of cluster analysis continues to be the weighting and selection of variables. Reports on the performance of 9 methods on 8 leading case simulated and real sets of data. The results demonstrate shortcomings of weighting basedon the standard deviation or range as well as other more complex schemes in the literature. (Authors, abbr.)

12399   1996-0176246, 347
Kageneck, K.-E.G.; Young, T.. – Methods of indexing and retrieval of electronically-stored documents (Lang.: eng). - 1995. (US Patent No. 5404514). The patent claims a document indexing and retrieval system and method which assigns weights to the key words and assigns a relative value to pairs of key words (i.e., defines a relative relation on KxK) based on their frequency of occurrence and co-occurrence in the document data base. (Authors, abbr.)

10634   1993-0135246, 753
Keen, E.M.. – Query term weighting schemes for effective ranked output retrieval (Lang.: eng). - In: International Online Information Meeting 15. London, 10-12 Dec.1991. 1991. p.135-1421.Oxford, Medford,NJ, Learned Inform.,

12050   1995-0370246, 756, 985
Jones, S. – Interactive thesaurus nagivation: intelligence rules OK? (Lang.: eng). - In: J.Amer.Soc.Inform.Sci. Vol. 46. No. 1. 1995. p.52-9.

5677   2008-0222weights • automatic indexing evaluation • 246;349
Oyarce, G. – Using the shape recovery method to evaluate indexing techniques (Lang.: eng). - In: Journal of the American Society for Information Science & Technology, 59(2008)9, p.1479-1492.

3954   2005-32-1-0030weights • online queries • 246;754
Wilbur, W.J. – Global term weights for document retrieval learned from TREC data (Lang.: eng). - In: Journal of Information Science, 27(2001)5, p.303-310.

2837   2001-0495weights • online queries • evaluation criteria • 246;754;392
Atlam, E.S., [et al.]. – Similarity measurement using term negative weight and its application to word similarity (Lang.: eng). - In: Information Processing and Management, 36(2000)5,p.717-736.

7365   weights • search engines • citation indexing • 246;757;864
Liu, Xinhai et al. – Weighted hybrid clustering by combining text mining and bibliometrics on a large-scale journal database (Lang.: eng). - In: Journal of the American Society for Information Science and Technology, 61(2010)6, pp. 1105-1119.

6928   weights • conceptology • systems theory • 246;78-51/4
Zhang, Jin, et al. – Visualization of health-subject analysis based on query term co-occurrences (Lang.: eng). - In: Journal of the American Society for Information Science & Technology, 59(2008)12, pp. 1933-1947.

 


 

Further items on this class as a particular theme
 

8274descriptors • weights • 226;246
An, Xin, Wu, Qing. – Co-word analysis of the trends in stem cells field based on subject heading weighting (Lang.: eng). – In: Scientometrics, 88(2011)1, pp. 133-144.

7368aboutness • weights • 321;246
White, Howard D. – Some new tests of relevance theory in Information Science (Lang.: eng). – In: Scientometrics, 83(2010)3, pp. 653-667.

60802009-0200various NBM indexing • weights • automatic classification • 879;246;348
Tan, J., Yang, X., Yi, L. – An improved approach to term weighting in automatic Web page classification (Lang.: chi). – In: Journal of the China Society for Scientific and Technical Information, 27(2008)1, p.56-61.

8370KO metadata • weights • 918;246
Zhang, Hong, et al. – Seeing the wood for the trees: enhancing metadata subject elements with weights (Lang.: eng). – In: Information technology and libraries, 30(2011)2, pp. 75-80.

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