Zobrazeno 1 - 10
of 63
pro vyhledávání: '"M.C. Hao"'
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 13:822-833
One of the common problems businesses need to solve is how to use large volumes of sales histories, Web transactions, and other data to understand the behavior of their customers and increase their revenues. Bar charts are widely used for daily analy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f353c54e43697282a29eee28335a2f9
https://doi.org/10.1109/tvcg.2007.1023
https://doi.org/10.1109/tvcg.2007.1023
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 8:255-269
Simple presentation graphics are intuitive and easy-to-use, but only show highly aggregated data. Bar charts, for example, only show a rather small number of data values and x-y-plots often have a high degree of overlap. Presentation techniques are o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86f0eb1bb614d307bb07f9ae3b3d7543
https://doi.org/10.1109/tvcg.2002.1021578
https://doi.org/10.1109/tvcg.2002.1021578
Autor:
Yuan Chen, Umeshwar Dayal, Chandrakant D. Patel, M.C. Hao, Meichun Hsu, Michael Hund, Halldór Janetzko, Carlos Felix, S. Mittelstaedt, Manish Marwah, Cullen E. Bash, Daniel A. Keim
Publikováno v:
Visualization and Data Analysis
Cyber physical systems (CPS), such as smart buildings and data centers, are richly instrumented systems composed of tightly coupled computational and physical elements that generate large amounts of data. To explore CPS data and obtain actionable ins
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2e603a1516338e3566dd0a4587f59af
https://doi.org/10.1117/12.2002948
https://doi.org/10.1117/12.2002948
Publikováno v:
HICSS
Scatter plots are one of the most powerful techniques for visualizing relationships between two continuous variables. Using scatter plots, it is easy to find how one variable is affected by another. However, scatter plots may have a high degree of ov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a626da5c95768bf0e1e79114ea3bb08
https://doi.org/10.1109/hicss.2013.197
https://doi.org/10.1109/hicss.2013.197
Autor:
Meichun Hsu, M.C. Hao, Yuan Chen, Halldór Janetzko, Umeshwar Dayal, S. Mittelstadt, Cullen E. Bash, Manish Marwah, Carlos Felix, Chandrakant D. Patel, Daniel A. Keim
Publikováno v:
IEEE VAST
Cyber physical systems (CPS), such as smart buildings and data centers, are richly instrumented systems composed of tightly coupled computational and physical elements that generate large amounts of data. To explore CPS data and obtain actionable ins
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a9f210d4261efba4f36a688fefad60d
https://doi.org/10.1109/vast.2012.6400541
https://doi.org/10.1109/vast.2012.6400541
Autor:
M.C. Hao, Halldór Janetzko, Ratnesh Sharma, Manish Marwah, Umeshwar Dayal, Walter Hill, S. Mittelstadt, Daniel A. Keim
Time series prediction methods are used on a daily basis by analysts for making important decisions. Most of these methods use some variant of moving averages to reduce the number of data points before prediction. However, to reach a good prediction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94ed5806714ff1cf0dd495fd43b3d4e1
Autor:
M.C. Hao, Debprakash Patnaik, Daniel A. Keim, Halldór Janetzko, Naren Ramakrishnan, Ratnesh Sharma, Manish Marwah, Umeshwar Dayal
Publikováno v:
IEEE VAST
The detection of previously unknown, frequently occurring patterns in time series, often called motifs, has been recognized as an important task. To find these motifs, we use an advanced temporal data mining algorithm. Since our algorithm usually fin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d071273391009a4151245e5d2ee4e01
https://doi.org/10.1109/vast.2010.5650766
https://doi.org/10.1109/vast.2010.5650766
Publikováno v:
IEEE VAST
Visualizations of large multi-dimensional data sets, occurring in scientific and commercial applications, often reveal interesting local patterns. Analysts want to identify the causes and impacts of these interesting areas, and they also want to sear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bbfd110a5c46a1480923a034231a2ae
Publikováno v:
INFOVIS
Time series are an important type of data with applications in virtually every aspect of the real world. Often a large number of time series have to be monitored and analyzed in parallel. Sets of time series may show intrinsic hierarchical relationsh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a700ed46e37a6bd477864091951db7f0
https://doi.org/10.1109/infovis.2005.20
https://doi.org/10.1109/infovis.2005.20
Publikováno v:
INFOVIS
Simple presentation graphics are intuitive and easy-to-use, but show only highly aggregated data and present only a very limited number of data values (as in the case of bar charts). In addition, these graphics may have a high degree of overlap which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92c1fd246723b70816834af1167c8366
https://doi.org/10.1109/infvis.2001.963288
https://doi.org/10.1109/infvis.2001.963288