%0 Conference Paper %1 benlahmar2018provenancebased %A Ben Lahmar, H. %A Herschel, M. %A Blumenschein, M. %A Keim, D. A. %B Proceedings of the Conference on Extending Database Technology (EDBT) %D 2018 %K from:leonkokkoliadis 2018 sfbtrr161 visus:herschme from:mueller D03 visus %P 686-689 %R 10.5441/002/edbt.2018.85 %T Provenance-based Visual Data Exploration with EVLIN %U https://dx.doi.org/10.5441/002/edbt.2018.85 %X Tools for visual data exploration allow users to visually browse through and analyze datasets to possibly reveal interesting infor- mation hidden in the data that users are a priori unaware of. Such tools rely on both query recommendations to select data to be visualized and visualization recommendations for these data to best support users in their visual data exploration process. EVLIN ( e xploring v isually with lin eage) is a system that assists users in visually exploring relational data stored in a data ware- house. EVLIN implements novel techniques for recommending both queries and their result visualization in an integrated and interactive way 3 . Recommendations rely on provenance (aka lineage) that describes the production process of displayed data . The demonstration of EVLIN includes an introduction to its features and functionality through sample exploration sessions. Conference attendees will then have the opportunity to gain hands- on experience of provenance-based visual data exploration by performing their own exploration sessions. These sessions will explore real-world data from several domains. While exploration sessions use a Web-based visual interface, the demonstration also features a researcher console, where attendees may have a look behind the scenes to get a more in-depth understanding of the underlying recommendation algorithms. Fachgebiet (DDC): 004 Informatik

@inproceedings{benlahmar2018provenancebased, abstract = {Tools for visual data exploration allow users to visually browse through and analyze datasets to possibly reveal interesting infor- mation hidden in the data that users are a priori unaware of. Such tools rely on both query recommendations to select data to be visualized and visualization recommendations for these data to best support users in their visual data exploration process. EVLIN ( e xploring v isually with lin eage) is a system that assists users in visually exploring relational data stored in a data ware- house. EVLIN implements novel techniques for recommending both queries and their result visualization in an integrated and interactive way [ 3 ]. Recommendations rely on provenance (aka lineage) that describes the production process of displayed data . The demonstration of EVLIN includes an introduction to its features and functionality through sample exploration sessions. Conference attendees will then have the opportunity to gain hands- on experience of provenance-based visual data exploration by performing their own exploration sessions. These sessions will explore real-world data from several domains. While exploration sessions use a Web-based visual interface, the demonstration also features a researcher console, where attendees may have a look behind the scenes to get a more in-depth understanding of the underlying recommendation algorithms. Fachgebiet (DDC): 004 Informatik}, added-at = {2020-10-09T12:31:47.000+0200}, author = {Ben Lahmar, H. and Herschel, M. and Blumenschein, M. and Keim, D. A.}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2f3ab4e629b1b1abf9fe5cf9619781495/visus}, booktitle = {Proceedings of the Conference on Extending Database Technology (EDBT)}, description = {Provenance-based Visual Data Exploration with EVLIN}, doi = {10.5441/002/edbt.2018.85}, interhash = {fea5897daa0d28fbfb1ee3a411bef8ae}, intrahash = {f3ab4e629b1b1abf9fe5cf9619781495}, keywords = {from:leonkokkoliadis 2018 sfbtrr161 visus:herschme from:mueller D03 visus}, pages = {686-689}, timestamp = {2020-10-09T10:31:47.000+0200}, title = {Provenance-based Visual Data Exploration with EVLIN}, url = {https://dx.doi.org/10.5441/002/edbt.2018.85}, year = 2018 }