Knowledge organization literature. Selected items

Your search for class 322 Data Analysis and Interpretation found the 25 items below.       [new search]

Items on this class as the base theme

4843   2007-0039data analysis322
Analyti, A., Theodorakis, M., Spyratos, N., Constantopoulos, P. – Contextualization as an independent abstraction mechanism for conceptual modeling (Lang.: eng). - In: Information Systems, 32(2007)1, p.24-60.

8093   data analysis322
Spiteri, Louise. – (Book review of) O’Connor, Brian C., Kearns, Jodi, Anderson, Richard L. Doing things with information: beyond indexing and abstracting. Westport, CN, Libraries Unlimited, 2008. 241pp. ISBN: 9871591585770 (Lang.: eng). - In: Knowledge organization, 38(2011)1, pp. 62-64.

8451   data analysis322
Weltzer-Ward, Lisa. – Content analysis coding schemes for online asynchronous discussion (Lang.: eng). - In: Campus-Wide information systems, 28(2011)1, pp. 56-74.

12414   1996-0196data analysis322
Budd, J.M.; Raber, D.. – Discourse analysis: Method and application in the study of information (Lang.: eng). - In: Inform.Process.& Management. Vol. 32, No. 2. 1996. p.217-226.

13435   1995-0181data analysis322
Kando, N.. – Functional structure analysis of research articles selected from three specialties: Automatic category assignment (Lang.: jap). - In: Libr.Inform.Sci. (Japan). (1993)31,p.25-38.

13436   1995-0182data analysis322
Kando, N.. – Structure analysis of information media using the categories: Re-examination of the criterion based on linguistic consideration (Lang.: jap). - In: Libr.Inform.Sci. (Japan). (1993)31,p.39-49.

13437   1995-0183data analysis322
Kando, N.. – Functional structure analysis of research articles and its applications. extraction of sentences describing the state of the art from articles on Viral Hepatitis C and automatic category assignment (Lang.: jap). - In: Annals Japan Soc.Libr.Sci.. 40(1994)2,p.49-61.

17413   data analysis322
Messner, Philipp. – Records in Contexts - Vom Baum zum Netz [Records in Contexts - From the tree to the net] (Lang.: ger). - In: Arbido, (2017)3, n.pag.. – Available at http://arbido.ch/de/artikelpdf/download.html?entryId=3215

17943   data analysis322
Lian, Tonghui; Yu, Caihua; Wang, Wei; Yuan, Qinjian; Hou, Zhiping. – Doctoral dissertations on tourism in china: a co-word analysis (Lang.: eng). - In: Knowledge Organization,43(2016)6, pp. 440-461.Würzburg, DE, Ergon-Verlag, 2016. – pp. 22. ISSN: 09437444; 2 Diagrams, 5 Charts, 1 Graph

18293   data analysis322
Noh, Younghee; Oh, Euikyung; Jeong, Dae-Keun. – A Study on the Proposal of Direction of Data Linkage for Building a One-Stop Portal Service for Humanities Assets (Lang.: kor). - In: Journal of the Korea Society for Information Management, 35(2018)2, pp. 7-36.. – Available at http://http://www.dbpia.co.kr/Article/NODE07478705

18304   data analysis322
Cho, Jane; Park, Jong-Do. – Network Analysis of Readers’ Countries of Korean Studies using Mendeley Co-readership Data (Lang.: kor). - In: Journal of the Korea Society for Information Management, 35(2018)4, pp. 107-124.. – Available at http://http://www.dbpia.co.kr/Article/NODE07590751

18528   data analysis322
Vorndran, Angela. – Hervorholen, was in unseren Daten steckt! Mehrwerte durch Analysen grosser Bibliotheksdatenbestände [Digging out what is in our data! Added value by analyzing large library databases] (Lang.: ger). - In: o-bib, 5(2018)4, pp. 166-180. – Available at http://doi.org/10.5282/o-bib/2018H4S166-180

18529   data analysis322
Gasser, Michael; Wanger, Regina; Prada, Ismail. – Wenn Algorithmen Zeitschriften lesen: Vom Mehrwert automatisierter Textanreicherung [When algorithms read magazines: The added value of automated text enrichment] (Lang.: ger ). - In: o-bib, 5(2018)4, pp. 181-192. – Available at http://doi.org/10.5282/o-bib/2018H4S181-192

18539   data analysis322
Lilley, Anthony. – What can Big Data do for the cultural sector? (Lang.: eng). - In: Arbido, (2019)1, n.pag.. – Available at http://arbido.ch/de/ausgaben-artikel/2019/zielgruppen/what-can-big-data-do-for-the-cultural-sector

18558   data analysis322
Xu, Liwei; Qiu, Jiangnan. – Unsupervised Multi-class Sentiment Classification Approach (Lang.: eng). - In: Knowledge Organization, 46(2019)1, pp.15-32. – Available at http://doi.org/10.5771/0943-7444-2019-1-15

18729   data analysis322
Kessler, Kristof; et al.. – PubPharm: Gemeinsam von der informationswissenschaftlichen Grundlagenforschung zum nachhaltigen Service [PubPharm: A collaborative effort to create a sustainable service] (Lang.: ger). - In: ABI Technik, 39(2019)4, pp. 282-294. – Available at http://doi.org/10.1515/abitech-2019-4005

12241   1995-0779322, 132
Vogt, F.; Wille, R. – TOSCANA - A graphical tool for analyzing and exploring data (Lang.: eng). - In: Knowl.Org. Vol. 22. No. 2. 1995. p.78-81. TOSCANA is a computer program which allows an online interaction with larger data bases to analyze and explore data conceptually. It uses labelled line diagrams of concept lattices to communicate knowledge coded in given data. The basic problem to create. online presentations of concept lattices is solved by composing prepared diagrams to nested line diagrams. A larger number of applications in different areas have already shown that TOSCANA is a useful tool for many purposes. (Authors)

18880   data analysis322; 324
Brettschneider, Peter. – Text und Data-Mining: Juristische Fallstricke und bibliothekarische Handlungsfelder [Text and data mining: Legal pitfalls and new fields of action for libraries] (Lang.: ger). - In: Bibliotheksdienst, 55(2021)2, pp. 104-126. – Available at http://doi.org/10.1515/bd-2021-0020

4708   2006-33-4-0311data analysisalgebraic methods322;132
Priss, U. – Formal concept analysis in information science (Lang.: eng). - In: Annual Review of Information Science and Technology, 40(2006), p.521-543.

4709   2006-33-4-0312data analysisalgebraic methods322;132
Priss, U., Old. – Modelling lexical databases with formal concept analysis (Lang.: eng). - In: Journal of Universal Computer Science, 10(2004)8, p.967-984.

4710   2006-33-4-0313data analysisalgebraic methodsreviews in special KO fields322;132;026
Priss, U. – Formal concept analysis in information science (Lang.: eng). - In: Annual Review of Information Science and Technology, 40(2006), p.521-543.

18372   data analysisinformation use322;981
Rodrigues, Fernando de Assis; Bisi, Pedro Henrique Santos; Sant’Ana, Ricardo César Gonçalves. – Identifying semantic characteristics of user interaction datasets through application of a data analysis (Lang.: eng). - In: Advances in Knowledge Organization, 16(2018), pp. 581-587.

4248   2005-32-4-0323data analysisuse of indexing practices322;983
Wilson, T.D. – Talking about the problem: a content analysis of pre-search interviews (Lang.: eng). - In: Information research: an international electronical journal, 10(2005)1 [electron]. – Available at http://informationr.net/ir/10-1/paper206.html

11975   1995-0180322.132
Friedrich, H.. – Analysis of factual data using fuzzy logic (Lang.: eng). - In: Quart.Bull.Int.Ass.Agr.Inf.Sp.. 39(1994)1/2,p.130-133.



Further items on this class as a particular theme

9991998-0375order of objectsdata analysis115;322
Saz, J.T. – Organización del conocimiento y modelos de datos : la representacón del universo del discurso [Knowledge organization and data modeling: representing discours domains] (Lang.: spa). – In: Organización del Conociemto en Sistemas de Información y Documentación, 2(1997),p.99-105.

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