Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Ming C. Hao"'
Autor:
Halldór Janetzko, Daniel A. Keim, Ming C. Hao, Lars erik Haug, Umeshwar Dayal, Florian Stoffel, Meichun Hsu, Christian Rohrdantz
Publikováno v:
Information Visualization. 12:273-290
Large manufacturing companies frequently receive thousands of web surveys every day. People share their thoughts regarding a wide range of products, their features, and the service they received. In addition, more than 190 million tweets (small text
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40f4dafa48842b77d993ad165d4d55cd
https://doi.org/10.1177/1473871613481691
https://doi.org/10.1177/1473871613481691
Autor:
Daniel A. Keim, Ming C. Hao, Manish Marwah, Naren Ramakrishnan, Debprakash Patnaik, Umeshwar Dayal, Halldór Janetzko, Ratnesh Sharma
Publikováno v:
Information Visualization. 11:71-83
The detection of frequently occurring patterns, also called motifs, in data streams has been recognized as an important task. To find these motifs, we use an advanced event encoding and pattern discovery algorithm. As a large time series can contain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc0266b583570c4f228544ce2669f798
https://doi.org/10.1177/1473871611430769
https://doi.org/10.1177/1473871611430769
Publikováno v:
SPIE Proceedings.
Astrophysics is transforming from a data-starved to a data-swamped discipline, fundamentally changing the nature of scientific inquiry and discovery. New technologies are enabling the detection, transmission, and storage of data of hitherto unimagina
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05a180b98b451a4cdb5ab95d538d1a4f
https://doi.org/10.1117/12.2085383
https://doi.org/10.1117/12.2085383
Publikováno v:
Information Visualization. 5:15-27
Business operations involve many factors and relationships and are modeled as complex business process workflows. The execution of these business processes generates vast volumes of complex data. The operational data are instances of the process flow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be74b55ccea767cdfa25e9ba2f010220
https://doi.org/10.1057/palgrave.ivs.9500115
https://doi.org/10.1057/palgrave.ivs.9500115
Publikováno v:
SPIE Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4901016c52ae965397ef51c08b21ac64
https://doi.org/10.1117/12.2052776
https://doi.org/10.1117/12.2052776
Autor:
Jinah Park, Ian Roberts, Chaomei Chen, Mark A. Livingston, David L. Kao, Ming C. Hao, Robert Kosara, Pak Chung Wong
Publikováno v:
Visualization and Data Analysis 2012.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64c8732953b6506fadd9ade94df9155d
https://doi.org/10.1117/12.923982
https://doi.org/10.1117/12.923982
This article describes automatic methods and interactive visualizations that are tightly coupled with the goal to enable users to detect interesting portions of text document streams. In this scenario the interestingness is derived from the sentiment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::235d04bc1a0c11b3c149440354e22205
Autor:
Katy Börner, David L. Kao, Chaomei Chen, Jonathan C. Roberts, Jinah Park, Pak Chung Wong, Ming C. Hao
Publikováno v:
Visualization and Data Analysis 2011.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ab391f62133b223fc141a2260253eb0
https://doi.org/10.1117/12.888995
https://doi.org/10.1117/12.888995
Autor:
Naren Ramakrishnan, Halldór Janetzko, Debprakash Patnaik, Manish Marwah, Ming C. Hao, Daniel A. Keim, Ratnesh Sharma, Umeshwar Dayal
Publikováno v:
Visualization and Data Analysis
The detection of previously unknown, frequently occurring patterns in time series, often called motifs, has been recognized as an important task. However, it is difficult to discover and visualize these motifs as their numbers increase, especially in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e5586b0e2fbe4d33618f1c1d9997347
https://doi.org/10.1117/12.872169
https://doi.org/10.1117/12.872169
Publikováno v:
VDA
The scatter plot is a well -known method of v isualizing pairs of two-dimensional continuous variables. Multidimensional data can be depicted in a scatter plot matrix. They are intuitive and easy-to-use, but often have a high degree of overlap which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1368a6735d3d365ca177cbe8d71ed5a6
https://doi.org/10.1117/12.840142
https://doi.org/10.1117/12.840142