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Investigative Data Mining: Mathematical Models for Analyzing, Visualizing and Destabilizing Terrorist Networks

von Nasrullah Memon

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[1.] Nm/Fragment 190 03 - Diskussion
Zuletzt bearbeitet: 2012-04-29 21:58:17 Hindemith
Fragment, Gesichtet, Heer et al 2005, Nm, SMWFragment, Schutzlevel sysop, Verschleierung

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Untersuchte Arbeit:
Seite: 190, Zeilen: 3-16
Quelle: Heer et al 2005
Seite(n): 5 (internet version), Zeilen: right column 31, 32-33, 34-36, 37-48, 51-54
Colour Maps. [...] These maps can be configured directly, or automatically generated by analyzing attribute values.

Integrated Search. Prefuse also supports efficient keyword search in large data sets. This component builds a tree (Prefix tree) of requested data attributes, enabling searches that run in time proportional to the size of the query string. Search results matching a given query are then available for visualization as a FocusSet in the ItemRegistry’s FocusManager.

Event Logging. Prefuse also provides facilities for logging. It is bundled with an event logger for monitoring and recording both user interfacing events and internal events. These Recorded logs can also be used to review or replay a session. Prefuse also has synchronized the event logger with the output of an eye-tracker, enabling playback sessions annotated with subjects’ fixation points.

Color Maps. [...] These maps can be configured directly, [...] or automatically generated by analyzing attribute values.

Integrated Search. [...] the toolkit includes a FocusSet implementation to support efficient keyword search of large data sets. This component builds a trie (prefix tree) of requested data attributes, enabling searches that run in time proportional to the size of the query string. Search results matching a given query are then available for visualization as a FocusSet in the ItemRegistry’s FocusManager.

Event Logging. prefuse includes an event logger for monitoring and recording events. This includes both user interface events (mouse movement, focus selection) and internal system events (addition and deletion of items from the registry). [...] Recorded logs can be used to review or replay a session. We have even synchronized the event logger with the output of an eye-tracker, enabling us to playback sessions annotated with subjects’ fixation points.

Anmerkungen

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Also see Nm/Fragment 183 25 where the source is mentioned.

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[2.] Nm/Fragment 190 17 - Diskussion
Zuletzt bearbeitet: 2012-04-29 22:07:33 Hindemith
Fragment, Gesichtet, Heer et al 2005, Nm, SMWFragment, Schutzlevel sysop, Verschleierung

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Untersuchte Arbeit:
Seite: 190, Zeilen: 17-31
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Seite(n): 9 (internet version), Zeilen: right column 41-54
In this Section we discussed Prefuse (which we have used a tool for visualization purpose of this study), a user interface toolkit for crafting interactive visualizations of structured and unstructured data. The Prefuse supports the design of 2D visualizations of any data consisting of discrete data entities, such as graphs, trees, scatter plots, collections, and timelines. The Prefuse implements existing theoretical models of information visualization to provide a flexible framework for simplifying application design and enabling reuse and composition of visualization and interaction techniques. In particular, Prefuse contributes scalable abstractions for filtering abstract data into visual content and using lists of composable actions to manipulate data in aggregate.

The prototype constructed in the research study using the Prefuse toolkit demonstrates the flexibility and performance of the Prefuse architecture.

In this paper we have introduced prefuse, a user interface toolkit for crafting interactive visualizations of structured and unstructured data. prefuse supports the design of 2D visualizations of any data consisting of discrete data entities, such as graphs, trees, scatter plots, collections, and timelines. prefuse implements existing theoretical models of information visualization to provide a flexible framework for simplifying application design and enabling reuse and composition of visualization and interaction techniques. In particular, prefuse contributes scalable abstractions for filtering abstract data into visual content and using lists of composable actions to manipulate data in aggregate.

Applications built with the toolkit demonstrate the flexibility and performance of the prefuse architecture.

Anmerkungen

continued from above

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