Interactive Visual Data Exploration with Subjective Feedback
نویسندگان
چکیده
Abstract. Data visualization and iterative/interactive data mining are growing rapidly in attention, both in research as well as in industry. However, integrated methods and tools that combine advanced visualization and data mining techniques are rare, and those that exist are often specialized to a single problem or domain. In this paper, we introduce a novel generic method for interactive visual exploration of highdimensional data. In contrast to most visualization tools, it is not based on the traditional dogma of manually zooming and rotating data. Instead, the tool initially presents the user with an ‘interesting’ projection of the data and then employs data randomization with constraints to allow users to flexibly and intuitively express their interests or beliefs using visual interactions that correspond to exactly defined constraints. These constraints expressed by the user are then taken into account by a projection-finding algorithm to compute a new ‘interesting’ projection, a process that can be iterated until the user runs out of time or finds that constraints explain everything she needs to find from the data. We present the tool by means of two case studies, one controlled study on synthetic data and another on real census data.
منابع مشابه
SIDE: A Web App for Interactive Visual Data Exploration with Subjective Feedback
Data visualization and iterative/interactive data mining are growing rapidly in attention, both in research as well as in industry. However, integrated methods and tools that combine advanced visualization and/or interaction with data mining techniques are rare, and those that exist are specialized to a single problem or domain. We present SIDE, a generic tool for Subjective Interactive Data Ex...
متن کاملA Tool for Subjective and Interactive Visual Data Exploration
We present SIDE, a tool for Subjective and Interactive Visual Data Exploration, which lets users explore high dimensional data via subjectively informative 2D data visualizations. Many existing visual analytics tools are either restricted to specific problems and domains or they aim to find visualizations that align with user’s belief about the data. In contrast, our generic tool computes data ...
متن کاملA Visual Analytics Approach for Crime Signature Generation and Exploration
The exploration of volumes of crime reports is a tedious task in crime intelligence analysis, given the largely unstructured nature of the crime descriptions. This paper describes a Visual Analytics approach for crime signature exploration that tightly integrates automated event sequence extraction and signature mining with interactive visualization. We describe the major components of our anal...
متن کاملInteractive Exploration of Volumetric Data Sets With a Combined Visual and Haptic Interface
The analysis of complex volumetric data sets is a critical component of many scientific and engineering applications. The difficulty of understanding the increasing amount of data generated by these applications motivates the need for effective and intuitive visualization approaches that allow users to extract relevant information from the data in a relatively short amount of time. Even though ...
متن کاملInteractive Visual Data Exploration with Subjective Feedback: An Information-Theoretic Approach
Abstract—Visual exploration of high-dimensional real-valued datasets is a fundamental task in exploratory data analysis (EDA). Existing methods use predefined criteria to choose the representation of data. There is a lack of methods that (i) elicit from the user what she has learned from the data and (ii) show patterns that she does not know yet. We construct a theoretical model where identifie...
متن کامل