Search (27 results, page 1 of 2)

Hofstede, A.H.M. ter; Proper, H.A.; Van der Weide, T.P.: Exploiting fact verbalisation in conceptual information modelling (1997) 0.08

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Source: Information systems. 22(1997) nos.5/6, S.349-385

Maaten, L. van den: Learning a parametric embedding by preserving local structure (2009) 0.03

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Maaten, L. van den: Accelerating t-SNE using Tree-Based Algorithms (2014) 0.03

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Maaten, L. van den; Hinton, G.: Visualizing non-metric similarities in multiple maps (2012) 0.02

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Raan, A.F.J. van; Noyons, E.C.M.: Discovery of patterns of scientific and technological development and knowledge transfer (2002) 0.02

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Maaten, L. van den; Hinton, G.: Visualizing data using t-SNE (2008) 0.02

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Budzik, J.; Hammond, K.J.; Birnbaum, L.: Information access in context (2001) 0.02

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Data mining, data warehousing and client/server databases : Proceedings of the 8th International Hong Kong Computer Society Database Workshop (Academic Stream) (1997) 0.01

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Editor: Fong, J.

Chowdhury, G.G.: Template mining for information extraction from digital documents (1999) 0.01

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Date: 2. 4.2000 18:01:22

Li, J.; Zhang, P.; Cao, J.: External concept support for group support systems through Web mining (2009) 0.01

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KDD : techniques and applications (1998) 0.01

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Footnote: A special issue of selected papers from the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'97), held Singapore, 22-23 Feb 1997

Hereth, J.; Stumme, G.; Wille, R.; Wille, U.: Conceptual knowledge discovery and data analysis (2000) 0.01
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Abstract

In this paper, we discuss Conceptual Knowledge Discovery in Databases (CKDD) in its connection with Data Analysis. Our approach is based on Formal Concept Analysis, a mathematical theory which has been developed and proven useful during the last 20 years. Formal Concept Analysis has led to a theory of conceptual information systems which has been applied by using the management system TOSCANA in a wide range of domains. In this paper, we use such an application in database marketing to demonstrate how methods and procedures of CKDD can be applied in Data Analysis. In particular, we show the interplay and integration of data mining and data analysis techniques based on Formal Concept Analysis. The main concern of this paper is to explain how the transition from data to knowledge can be supported by a TOSCANA system. To clarify the transition steps we discuss their correspondence to the five levels of knowledge representation established by R. Brachman and to the steps of empirically grounded theory building proposed by A. Strauss and J. Corbin

Li, D.; Tang, J.; Ding, Y.; Shuai, X.; Chambers, T.; Sun, G.; Luo, Z.; Zhang, J.: Topic-level opinion influence model (TOIM) : an investigation using tencent microblogging (2015) 0.01

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Knowledge management in fuzzy databases (2000) 0.01

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Editor: Kacprzyk, J.

Huvila, I.: Mining qualitative data on human information behaviour from the Web (2010) 0.01

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Source: Information und Wissen: global, sozial und frei? Proceedings des 12. Internationalen Symposiums für Informationswissenschaft (ISI 2011) ; Hildesheim, 9. - 11. März 2011. Hrsg.: J. Griesbaum, T. Mandl u. C. Womser-Hacker

Pons-Porrata, A.; Berlanga-Llavori, R.; Ruiz-Shulcloper, J.: Topic discovery based on text mining techniques (2007) 0.01

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Sánchez, D.; Chamorro-Martínez, J.; Vila, M.A.: Modelling subjectivity in visual perception of orientation for image retrieval (2003) 0.01

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Song, J.; Huang, Y.; Qi, X.; Li, Y.; Li, F.; Fu, K.; Huang, T.: Discovering hierarchical topic evolution in time-stamped documents (2016) 0.01

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Gill, A.J.; Hinrichs-Krapels, S.; Blanke, T.; Grant, J.; Hedges, M.; Tanner, S.: Insight workflow : systematically combining human and computational methods to explore textual data (2017) 0.01

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Matson, L.D.; Bonski, D.J.: Do digital libraries need librarians? (1997) 0.01

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Date: 22.11.1998 18:57:22

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