User-Centered Data Management (original) (raw)
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A User-Centered Visual Approach to Data Mining
Intelligent Information Processing, 2002
We present a human-centered approach to model selection in machine leaming and data mining that emphasizes and facilitates the active participation of the user in the knowledge discovery process with quantitative and qualitative evaluation of patterns/models. The key idea of such a model selection is it would result from a combination of a quantitative evaluation of model characteristics and performance metrics with a qualitative evaluation of patterns/model by the user. We develop data mining methods integrated with visualization tools in the user-centered visual system D2MS (Data Mining with Model Selection). We finally present a case-study of D2MS in mining stomach cancer data.
An Interface for User-Centred Process and Correlation Between Large Datasets
Springer eBooks, 2021
Standard database query systems are designed to process data on a single installation only, and do not provide optimal solutions for cases that data from multiple sources need to be queried. In these cases, the sources may have different data schemata, data representations etc., necessitating extensive coding and data transformations to retrieve partial results and combine them to reach the desired outcome. Differences in schemata and representations may be subtle and remain unnoticed, leading to the production of erroneous results. The goal of this paper is to present an easy-to-use solution for the end users, enabling them to query data from a given set of databases through a single user interface. This user interface allows users to visualize database contents and query results, while facilities for uploading and validating the data are also accommodated. To demonstrate the applicability of our approach, a use case is presented where data from two different sources are uploaded into the system and thereafter the data from the two databases can be utilized in tandem. The usability evaluation involved software developers in free evaluation scenarios.
DEVise: integrated querying and visual exploration of large datasets
Sigmod Record, 1997
DEVise is a data exploration system that allows users to ez-sily develop, browse, and share visual presentations of large tabular dataaets (possibly containing or referencing multimedia objects) from several sources. The DEVise framework is being implemented in a tool that has been already successfully applied to a variety of real applications by a number of user groups.
In this paper, we propose a new visualization framework which can help users to create highly-customized and interactive visualizations. This framework includes an Object-Oriented View Manipulation Model for querying and manipulating data, as well as an Object-Oriented Visualization Implementation Model for creating visualizations. The visualizations created using our framework allow users to directly manipulate them, which indirectly modifies the tree structures of the two models. Such interactions enable users to visually define an Object-Oriented view for querying the database, to visually create visualizations, and to modify existing visualizations. Users can also interact with the visualization results to filter out their visual objects which do not satisfy the user-specified conditions.
Feasible database querying using a visual end-user approach
Proceedings of the 2nd ACM SIGCHI symposium on Engineering interactive computing systems, 2010
Querying databases is a common daily task carried out by a great deal of end-users who do not have specific skills in SQL language. Today, most of the database interaction is achieved by means of query interfaces provided by the database environment. However, most of these interfaces suffer from expressive limitations, since they are mostly based on metaphors that drastically restrict the expressiveness of the SQL language that is generated and executed in the background. In this paper, we present a visual interaction language and tool focused on easily querying databases by end-users. We make no assumption on the level of the user's experience with query languages, as our visual metaphor is intended for querying databases by unskilled end-users and also leveraging the restriction on the expressiveness of the queries created by them. We also report on some late braking results obtained by an experiment carried out with real users.
DEVise: Integrated Querying and Visualization of Large Datasets
Sigmod, 1997
DEVise is a data exploration system that allows users to ez-sily develop, browse, and share visual presentations of large tabular dataaets (possibly containing or referencing multimedia objects) from several sources. The DEVise framework is being implemented in a tool that has been already successfully applied to a variety of real applications by a number of user groups. Our emphasis is on developing an intuitive yet powerful set of querying and visualization primitives that can be easily combhed to develop a rich set of visual presentations that integrate data from a wide range of application domains. While DEVise is a powerful visualization tool, its greatest strengths are the ability to interactively explore a visual presentation of the data at any level of detail (including retrieving individual data records), and the ability to seamlessly query and combine data from a variety of local and remote sources. In this paper, we present the DEVise framework, describe the current tool, and report on our experience in applying it to several real applications.
Interactive Visual User Interfaces to Databases
2001
Abstract We review past achievements, and describe current work, on interactive and responsive visual user interfaces to databases. Such visual user interfaces organize data and information, and also provide interaction with the user. They can be considered as a particular type of agent, helping in the human tasks of information navigating, filtering, seeking, and accessing.
Supporting data mining of large databases by visual feedback queries
1994
In this paper, we describe a query system that provides visual relevance feedback in querying large databases. Our goal is to support the process of data mining by representing as many data items as possible on the display. By arranging and coloring the data items as pixels according to their relevance for the query, the user gets a visual impression of the resulting data set. Using an interactive query interface, the user may change the query dynamically and receives immediate feedback by the visual representation of the resulting data set. Furthermore, by using multiple windows for different parts of a complex query, the user gets visual feedback for each part of the query and, therefore, may easier understand the overall result. Our system allows to represent the largest amount of data that can be visualized on current display technology, provides valuable feedback in querying the database, and allows the user to find results which, otherwise, would remain hidden in the database.
Cognitive aspects of data mining. DataScope: a visualisation tool and a visual query system
Visualisation and data mining must connect closely to each other, because the cognitive aspect can be realised only by using visual techniques. Without this, there cannot be an effective communication between people and programs. Currently, manager information systems contain graphical description of reduced data (e.g. in Microsoft Excel), which can only be a part of a real manager information system. We propose a new generation of visual information system, called DataScope. This has several properties: digital information is translated into analogue one; queries, an essential function of databases, can be realised; several features can be examined at the same time and only the visualisation capacity of the computers or human perception can limit it; comparison (relation) can be accomplished, i.e. the relation of two or more alternatives can be visualised at the same time.