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Collaborative Data Exploration Interfaces - From Participatory Sensing to Participatory Sensemaking
2015
2015 Big Data Visual Analytics (BDVA)
As technological capabilities for capturing, aggregating, and processing large quantities of data continue to improve, the question becomes how to effectively utilise these resources. Whenever automatic methods fail, it is necessary to rely on human background knowledge, intuition, and deliberation. This creates demand for data exploration interfaces that support the analytical process, allowing users to absorb and derive knowledge from data. Such interfaces have historically been designed for
doi:10.1109/bdva.2015.7314289
dblp:conf/bdva/FilonikBRF15
fatcat:d6r6uq6slvckjlgltzpwt2mtp4