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267
OPTICS: Ordering Points To Identify the Clustering Structure
, 1999
"... Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysis and data processing, or as a preprocessing step for other algorithms operating on the detected clusters. Almost all of ..."
Abstract
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Cited by 527 (51 self)
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Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysis and data processing, or as a preprocessing step for other algorithms operating on the detected clusters. Almost all
Process Mining and Visual Analytics: Breathing Life into Business Process Models
"... Abstract. Process mining and visual analytics are two disciplines that emerged over the last decade. The goal of process mining is to use event data to extract process-related information, e.g., to automatically discover a process model by observing events recorded by some information system or to c ..."
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Abstract. Process mining and visual analytics are two disciplines that emerged over the last decade. The goal of process mining is to use event data to extract process-related information, e.g., to automatically discover a process model by observing events recorded by some information system
Managing Discoveries in The Visual Analytics Process ∗
"... Visualization systems traditionally focus on graphical representation of information. They tend not to provide integrated analytical services that could aid users in tackling complex knowledge discovery tasks. Users ’ exploration in such environments is usually impeded due to several problems: 1) va ..."
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no convenient access to the important knowledge learned by other users. To tackle these problems, it has been recognized that analytical tools must be introduced into visualization systems. In this paper, we present a novel analysis-guided exploration system, called the Nugget Management System (NMS
Challenges in visual data analysis
- In Proceedings of the Tenth International Conference on Information Visualization
, 2006
"... In today’s applications data is produced at unprecedented rates. While the capacity to collect and store new data grows rapidly, the ability to analyze these data volumes increases at much lower pace. This gap leads to new challenges in the analysis process, since analysts, decision makers, engineer ..."
Abstract
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Cited by 71 (2 self)
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in the analysis process. Furthermore, it is the combination of related research areas including visualization, data mining, and statistics that turns visual analytics into a promising field of research. This paper aims at providing an overview of visual analytics, its scope and concepts, and details the most
MineSet: An Integrated System for Data Mining
, 1997
"... MineSet TM , Silicon Graphics' interactive system for data mining, integrates three powerful technologies: database access, analytical data mining, and data visualization. It supports the knowledge discovery process from data access and preparation through iterative analysis and visualization t ..."
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Cited by 67 (9 self)
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MineSet TM , Silicon Graphics' interactive system for data mining, integrates three powerful technologies: database access, analytical data mining, and data visualization. It supports the knowledge discovery process from data access and preparation through iterative analysis and visualization
Visualization as Integration of Heterogeneous Processes
"... In the information age today, we are experiencing an explosion of data and information from a variety of sources unlike anything that the world has seen before. While technology has advanced to keep up with the collection and storage of data, what we lack now is the ability to analyze and understand ..."
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of the problem based on domain-specific techniques. The framework serves as a visual repository for all the information and knowledge discovered by each individual process, and allows the user to interactively perform sense-making analysis to form a cohesive and comprehensive understanding of the problem at hand
Scalable visual analytics . . .
, 2007
"... The information overload is a well-known phenomenon of the information age, since due to the progress in computer power and storage capacity over the last decades, data is produced at an incredible rate, and our ability to collect and store this data is increasing at a faster rate than our ability t ..."
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this challenge, the field of Visual Analytics aims at the integration of data mining technology and information visualization and thus combines two powerful information processing
Visual Analytics Visual Data Mining in Large Geospatial Point Sets
"... Many existing and emergent applications collect and reference data by geospatial location. Credit card transactions, for example, include addresses of both the place of purchase and the purchaser; telephone records include addresses and sometimes cell phone zones and geocoordinates; and population c ..."
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with current computer systems to process large volumes of data and generate sophisticated displays. In this setting, the analyst directly interacts with the data, solving problems by applying domain expertise and general background knowledge to form and validate new hypotheses. In recent decades, visual data-mining
A Process-Centric Data Mining and Visual Analytic Tool for Exploring Complex Social Networks
"... Social scientists and observational scientists have a need to analyze complex network data sets. Examples of such exploratory tasks include: finding communities that exist in the data, comparing results from different graph mining algorithms, identifying regions of similarity or dissimilarity in the ..."
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scientists, especially those without extensive programming knowledge. In this paper, we present Invenio-Workflow, a tool that supports exploratory analysis of network data by integrating workflow, querying, data mining, statistics, and visualization to enable scientific inquiry. Invenio-Workflow can be used
Interactive entity resolution in relational data: A visual analytic tool and its evaluation. Visualization and Computer Graphics
- IEEE Transactions on
, 2008
"... Abstract—Databases often contain uncertain and imprecise references to real-world entities. Entity resolution, which is the process of reconciling multiple references to underlying real-world entities, is an important data cleaning process required before accurate visualization or analysis of the da ..."
Abstract
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Cited by 12 (2 self)
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to be resolved and for visual analytic tools that support the entity resolution process. In this paper, we introduce a novel user interface, D-Dupe, for interactive entity resolution in relational data. D-Dupe effectively combines relational entity resolution algorithms with a novel network visualization
Results 1 - 10
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267
