Challenges in Visual Data Analysis

@inproceedings{citeulike:3014292, abstract = {In today\&\#146;s applications data is produced at unprecedented rates. While the capacity to collect and store new data grows rapidly, the ability to analyze these data volumes increases at much lower pace. This gap leads to new challenges in the analysis process, since analysts, decision makers, engineers, or emergency response teams depend on information "concealed" in the data. The emerging field of visual analytics focuses on handling massive, heterogenous, and dynamic volumes of information through integration of human judgement by means of visual representations and interaction techniques in the analysis process. Furthermore, it is the combination of related research areas including visualization, data mining, and statistics that turns visual analytics into a promising field of research. This paper aims at providing an overview of visual analytics, its scope and concepts, and details the most important technical research challenges in the field.}, author = {Keim, D. A. and Mansmann, F. and Schneidewind, J. and Ziegler, H. }, booktitle = {Information Visualization, 2006. IV 2006. Tenth International Conference on}, citeulike-article-id = {3014292}, doi = {http://dx.doi.org/10.1109/IV.2006.31}, journal = {Information Visualization, 2006. IV 2006. Tenth International Conference on}, keywords = {information, visualization}, pages = {9--16}, posted-at = {2008-07-17 13:53:04}, priority = {2}, title = {Challenges in Visual Data Analysis}, url = {http://dx.doi.org/10.1109/IV.2006.31}, year = {2006} }

TY - CONF ID - citeulike:3014292 L3 - citeulike-article-id:3014292 TI - Challenges in Visual Data Analysis T2 - Information Visualization, 2006. IV 2006. Tenth International Conference on JF - Information Visualization, 2006. IV 2006. Tenth International Conference on SP - 9 EP - 16 N2 - In today’s applications data is produced at unprecedented rates. While the capacity to collect and store new data grows rapidly, the ability to analyze these data volumes increases at much lower pace. This gap leads to new challenges in the analysis process, since analysts, decision makers, engineers, or emergency response teams depend on information "concealed" in the data. The emerging field of visual analytics focuses on handling massive, heterogenous, and dynamic volumes of information through integration of human judgement by means of visual representations and interaction techniques in the analysis process. Furthermore, it is the combination of related research areas including visualization, data mining, and statistics that turns visual analytics into a promising field of research. This paper aims at providing an overview of visual analytics, its scope and concepts, and details the most important technical research challenges in the field. KW - information KW - visualization AU - Keim, DA AU - Mansmann, F AU - Schneidewind, J AU - Ziegler, H PY - 2006/// UR - http://dx.doi.org/10.1109/IV.2006.31 ER -