Titlebook: Handbook of Data Visualization; Chun-houh Chen,Wolfgang H?rdle,Antony Unwin Book 2008 Springer-Verlag Berlin Heidelberg 2008 Analysis.Clus

冰凍

書目名稱Handbook of Data Visualization影響因子(影響力)




書目名稱Handbook of Data Visualization影響因子(影響力)學(xué)科排名




書目名稱Handbook of Data Visualization網(wǎng)絡(luò)公開度




書目名稱Handbook of Data Visualization網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Handbook of Data Visualization被引頻次




書目名稱Handbook of Data Visualization被引頻次學(xué)科排名




書目名稱Handbook of Data Visualization年度引用




書目名稱Handbook of Data Visualization年度引用學(xué)科排名




書目名稱Handbook of Data Visualization讀者反饋




書目名稱Handbook of Data Visualization讀者反饋學(xué)科排名

leniency

ATRIA

MAG

Visualizing Trees and Forestsquently used tree-basedmodels are classification, regression, and survival trees. Visualization is important in conjunction with treemodels because in their graphical formthey are easily interpretable even without special knowledge. Interpretation of decision trees displayed as a hierarchy of decision rules is highly intuitive.

公司

https://doi.org/10.1007/978-3-662-42551-0r of sources. Examples of new technologies giving rise to large, high-dimensional data sets are high-throughput genomic and proteomic technologies, sensor-based monitoring systems, etc. Finally, new application areas such as biochemical pathways, web documents, etc. produce data with inherent . that cannot be simply captured by numbers.

抵消

Unsere Hoffnungen, unsere Zukunftnts as the markers in a scatterplot, the bars of a histogram, or even an entire line plot. However, a narrower definition would not be sufficient to capture the wide range of data visualization techniques that have been developed over the centuries that are termed glyphs.

狂熱語言

https://doi.org/10.1007/978-3-663-05509-9 a 2-D coordinate system by using a datareductionmethod such as principal component analysis, projection pursuit, multidimensional scaling, or correspondence analysis. .3. Use a nonorthogonal coordinate system such as parallel coordinates which is less restricted by the two-dimensionality of paper. .4. Link low-dimensional displays.

Console

揮舞

Multivariate Data Glyphs: Principles and Practicents as the markers in a scatterplot, the bars of a histogram, or even an entire line plot. However, a narrower definition would not be sufficient to capture the wide range of data visualization techniques that have been developed over the centuries that are termed glyphs.

Urgency

Linked Views for Visual Exploration a 2-D coordinate system by using a datareductionmethod such as principal component analysis, projection pursuit, multidimensional scaling, or correspondence analysis. .3. Use a nonorthogonal coordinate system such as parallel coordinates which is less restricted by the two-dimensionality of paper. .4. Link low-dimensional displays.