Special issue on “advances in visual analytics and mining visual data”

Abstract

Visual and multimedia analytics provides an emerging field of research combining strengths from information analytics, geospatial analytics, scientific analytics, statistical analytics, knowledge discovery, data management and knowledge representation, presentation, production and dissemination, cognition, perception, and interaction (Chen, Chiang and Storey, 2012). The aim is to gain insight into homogeneous, contradictory, and incomplete data through the combination of automatic analysis methods with human background knowledge and intuition. While the scope of visual analytics is broad, one principle that has emerged over the years is the need for visual analytics systems to leverage computational methods in data mining, knowledge discovery, and machine learning for large-scale data analysis. In these systems, the human

Consequential factors of Big Data's Analytics Capability: how firms use data in the competitive scenario

“…These two components operate in coordination, allowing a continuous and cooperative analytical loop between different firm functional levels (Cybulski et al , 2015; Valdez et al , 2016; Chang et al ., 2020). The adoption of all these models lacks managerial support and is also cited as a critical factor affecting Big Data initiatives' success (LaValle et al , 2011).…”

Research on the analysis of traditional music tunes in the context of network information technology

“…Visual analytics is a science and technology that assists users in analyzing and reasoning about large and complex data sets through an interactive visualization interface [14]. The top international conference in the visualization field, IEEE VisWeek, has started to hold an annual conference on "Visual Analytics Science and Technology", which shows the importance of visualization technology and the great progress brought by the development of this technology [15]. In recent years, visual analytics research has been largely focused on the hot area of big data, and the use of information visual analytics can play an important role in analyzing traditional music tunes.…”