Results 261 to 270 of about 26,599 (293)
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Thematic Clustering and Exploration of Linked Data

2012
Now that a huge amount of data is available in the Linked Data Cloud, the need of effective exploration and visualization techniques is becoming more and more important. In this paper, we propose aggregation and abstraction techniques for thematic clustering and exploration of linked data.
S. Castano, A. Ferrara, S. Montanelli
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Genetic algorithms for optimization of thematic regional clusters

EUROCON 2007 - The International Conference on "Computer as a Tool", 2007
Genetic algorithms are search procedure, based on mechanics of natural genetics, able to provide robust search in complex problem spaces. The substance of the solution is to find optimal traffic flow between explicit junctions. We can say it is solution for traffic systems.
Stanislava Simonova, Jan Panus
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Development and maturity of co-word thematic clusters: the field of linked data

Library Hi Tech, 2023
PurposeThis research aimed to visualize and analyze the co-word network and thematic clusters of the intellectual structure in the field of linked data during 1900–2021.Design/methodology/approachThis applied research employed a descriptive and analytical method, scientometric indicators, co-word techniques, and social network analysis. VOSviewer, SPSS,
Elaheh Hosseini   +2 more
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Thematic Clustering of Geographic Resource Metadata Collections

2008
Spatial Data Infrastructures at national or higher levels usually comprise the access to multiple geographic data catalogs. However, with classical search systems, it is difficult to have a clear idea of the information contained in the metadata holdings of these catalogs.
Javier Lacasta   +3 more
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Thematic Clustering Methods Applied to News Texts Analysis

2014
This paper is devoted to a problem of partition documents from the news flow into groups, where each group contains documents that are similar to each other. We use thematic clustering to solve this problem. The existing clustering algorithms such as k-means, minimum spanning tree and etc. are considered and analyzed.
Anastasia N. Soloshenko   +3 more
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Text Clustering on Latent Thematic Spaces: Variants, Strengths and Weaknesses

2007
Deriving a thematically meaningful partition of an unlabeled text corpus is a challenging task. In comparison to classic term-based document indexing, the use of document representations based on latent thematic generative models can lead to improved clustering.
Xavier Sevillano   +3 more
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Analysis of UN Voting Patterns via Diffusion Geometry and Thematic Clustering

2013 IEEE 13th International Conference on Data Mining Workshops, 2013
We apply a range of data mining techniques to analyze voting patterns in the United Nations. We begin with non-linear dimensionality reduction, showing that diffusion geometry reveals an historically relevant organization of countries based on their UN voting patterns. Key historical events can be ``read out'' from these embeddings, such as de Gaulle's
Minh Tam Le   +4 more
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Constructing and Mapping Fuzzy Thematic Clusters to Higher Ranks in a Taxonomy

2010
We present a novel methodology for mapping a system such as a research department to a related taxonomy in a thematically consistent way. The components of the structure are supplied with fuzzy membership profiles over the taxonomy. Our method generalizes the profiles in two steps: first, by fuzzy clustering, and then by mapping the clusters to higher ...
Boris G. Mirkin   +3 more
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THEMATIC CLUSTERS IN TOURISM

2012
Općenito, rast i razvoj poduzetništva (posebno malog) zahtijeva stalno traganje za organizacijskim modelom koji osigurava opstanak poduzetnika na tržištu, a ujedno zadovoljava strateški cilj kroz povećanje dodane vrijednosti po jedinici proizvoda, odnosno profitabilnost, povećanje proizvodnje usmjerene na izvoz i u skladu s tim, održanje i povećanje ...
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