ACM DAVA'16: 2nd International Workshop on DAta mining meets Visual Analytics at Big Data Era

Abstract

The theme of this workshop is to bridge data mining and visual analytics for information and knowledge management. The topics include, but not limited to, the following: Big data mining and visual analytics, theory and foundations -- Knowledge discovery with data mining and visual analytics technologies -- Fusion, mining and visualization of rich and heterogeneous data source -- Security and privacy issues in data mining and visual analytics systems -- Information, social and biological graph mining and visualization -- Novel methods on visualization-oriented data mining -- Visual representations and interaction techniques of data mining results -- Data management and knowledge representation including scalable data representations -- Mathematical foundations and algorithms in data mining to allow interactive visual analysis -- Analytical reasoning including the human analytic, knowledge discovery, perception, and collaborative visual analytics -- Evaluation methods for data mining algorithms and visual analytics systems -- Applications of visual analytics and data mining techniques, including but not limited to applications in science, engineering, public safety, commerce, etc. The DAVA'16 workshop includes 3 invited keynote talks, 2 paper sessions and some posters. Authors of accepted oral papers give 20-minute presentation on their papers. Three keynote speakers from both data mining and visualization give invited talks in this workshop (40-minute each). The DAVA'16 organization committee selects one paper of the highest quality to receive the DAVA'16 best paper award and a cash award of $300. An extended version of the selected papers will be recommended to Chinese of Journal Electronics (SCI-indexed) or International Journal of Software and Informatics (IJSI) as a special issue on visual analytics.