Suchergebnisse - "H.2.8 Database Applications. Data mining"

iVisClustering: An Interactive Visual Document Clustering via Topic Modeling von Lee, Hanseung, Kihm, Jaeyeon, Choo, Jaegul, Stasko, John, Park, Haesun

“… Clustering plays an important role in many large‐scale data analyses providing users with an overall understanding of their data. Nonetheless, clustering is …”
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Subspace search and visualization to make sense of alternative clusterings in high-dimensional data von Tatu, A., Maas, F., Farber, I., Bertini, E., Schreck, T., Seidl, T., Keim, D.

“… In explorative data analysis, the data under consideration often resides in a high-dimensional (HD) data space. Currently many methods are available to analyze …”
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Using random projections to identify class-separating variables in high-dimensional spaces von Anand, A., Wilkinson, L., Tuan Nhon Dang

“… Projection Pursuit has been an effective method for finding interesting low-dimensional (usually 2D) projections in multidimensional spaces. Unfortunately, …”
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Visual analytics for detecting behaviour patterns in geo-temporal data von Hundt, Michael, Siirak, Natascha M., Wildnei, Manuel

“… Today raw data get more complex and are obtained from different sources. In this paper, the data sources evaluated are GPS tracks of thirty five cards and …”
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Visual Exploration of Spatio-temporal Relationships for Scientific Data von Mehta, S., Parthasarathy, S., Machiraju, R.

“… Spatio-temporal relationships among features extracted from temporally-varying scientific datasets can provide useful information about the evolution of an …”
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