Aptima and VAST Challenge 2011 - Revision history

Connor Gramazio: /* Related Products */

2013-03-13T14:50:58Z

Connor Gramazio: /* Solutions */

2013-03-06T16:38:43Z

Solutions

← Older revision		Revision as of 16:38, 6 March 2013
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	== Solutions ==		== Solutions ==
			----
	=== 125-Bertini ===		=== 125-Bertini ===
	http://129.63.17.205/vast/challengesubmissions/125-Bertini-GC/index_grand.htm		http://129.63.17.205/vast/challengesubmissions/125-Bertini-GC/index_grand.htm
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	==== MC3: Text Analysis ====		==== MC3: Text Analysis ====
	Unlike other MC's, this is exceedingly messy. Uses STW Counter, Knime, Stanford Tagger, Jigsaw, Visio, KIAWordCloudVis, and lots of by-hand processing. Aim is to reduce corpus of documents to a list of candidates, and then into a shorter list of evidence. Analysis relied heavily on a manually generated list of suspicious words that could be used as initial-stage filters on the corpus.		Unlike other MC's, this is exceedingly messy. Uses STW Counter, Knime, Stanford Tagger, Jigsaw, Visio, KIAWordCloudVis, and lots of by-hand processing. Aim is to reduce corpus of documents to a list of candidates, and then into a shorter list of evidence. Analysis relied heavily on a manually generated list of suspicious words that could be used as initial-stage filters on the corpus.

			----

Connor Gramazio: /* Solutions */

2013-03-06T16:38:02Z

Solutions

← Older revision		Revision as of 16:38, 6 March 2013
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	http://129.63.17.205/vast/challengesubmissions/125-Bertini-GC/index_grand.htm		http://129.63.17.205/vast/challengesubmissions/125-Bertini-GC/index_grand.htm

	==== MC1: ====		==== MC1: Tweets ====
	Lots of data wrangling/pre-processing at initial stage of analysis.		Lots of data wrangling/pre-processing at initial stage of analysis.
	Built in-house analysis tool to examine tweets. Application features frequency chart, map, and filtering frames. Additional features are tweet browser and word cloud visualizer.		Built in-house analysis tool to examine tweets. Application features frequency chart, map, and filtering frames. Additional features are tweet browser and word cloud visualizer.
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	* Refinement patterns focus on identifying "interesting" tweet clusters in overview, using word cloud for detail views and user IDs, and then tracking user IDs for finding more pivotal events. Also looks at full tweets on occasion.		* Refinement patterns focus on identifying "interesting" tweet clusters in overview, using word cloud for detail views and user IDs, and then tracking user IDs for finding more pivotal events. Also looks at full tweets on occasion.

	==== MC2: ====		==== MC2: Network Analysis ====
	Network analysis tool. Overview features data over time, with each time block annotated with important network events (e.g., DDoS attacks). Each time block assumes the same purposes of sparklines.		Network analysis tool. Overview features data over time, with each time block annotated with important network events (e.g., DDoS attacks). Each time block assumes the same purposes of sparklines.
	* Analysis starts with overview mode, filtering for interesting, patterned events.		* Analysis starts with overview mode, filtering for interesting, patterned events.
	* Constant filtering via time, types of events, and connection source/external IPs associated with events.		* Constant filtering via time, types of events, and connection source/external IPs associated with events.

	==== MC3: ====		==== MC3: Text Analysis ====
			Unlike other MC's, this is exceedingly messy. Uses STW Counter, Knime, Stanford Tagger, Jigsaw, Visio, KIAWordCloudVis, and lots of by-hand processing. Aim is to reduce corpus of documents to a list of candidates, and then into a shorter list of evidence. Analysis relied heavily on a manually generated list of suspicious words that could be used as initial-stage filters on the corpus.

Connor Gramazio: /* MC2: */

2013-03-06T16:33:26Z

MC2:

← Older revision		Revision as of 16:33, 6 March 2013
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	==== MC2: ====		==== MC2: ====
			Network analysis tool. Overview features data over time, with each time block annotated with important network events (e.g., DDoS attacks). Each time block assumes the same purposes of sparklines.
			* Analysis starts with overview mode, filtering for interesting, patterned events.
			* Constant filtering via time, types of events, and connection source/external IPs associated with events.

	==== MC3: ====		==== MC3: ====

Connor Gramazio: /* MC1: */

2013-03-06T16:27:35Z

MC1:

← Older revision		Revision as of 16:27, 6 March 2013
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	==== MC1: ====		==== MC1: ====
	Lots of data wrangling/pre-processing at initial stage of analysis.		Lots of data wrangling/pre-processing at initial stage of analysis.
	Built in-house analysis tool to examine tweets. Application features frequency chart, map, and filtering frames.		Built in-house analysis tool to examine tweets. Application features frequency chart, map, and filtering frames. Additional features are tweet browser and word cloud visualizer.
	* Started by looking at map overview for tweet patterns		* Started by looking at map overview for tweet patterns
	* Refinement patterns focus on identifying "interesting" tweet clusters in overview, using word cloud for detail views and user IDs, and then tracking user IDs for finding more pivotal events. Also looks at full tweets on occasion.		* Refinement patterns focus on identifying "interesting" tweet clusters in overview, using word cloud for detail views and user IDs, and then tracking user IDs for finding more pivotal events. Also looks at full tweets on occasion.

Connor Gramazio at 16:24, 6 March 2013

2013-03-06T16:24:02Z

← Older revision		Revision as of 16:24, 6 March 2013
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	Oculus – http://www.oculusinfo.com/ (http://www.oculusinfo.com/nspace2-and-the-ieee-vast-challenge/)		Oculus – http://www.oculusinfo.com/ (http://www.oculusinfo.com/nspace2-and-the-ieee-vast-challenge/)

			== Solutions ==
			=== 125-Bertini ===
			http://129.63.17.205/vast/challengesubmissions/125-Bertini-GC/index_grand.htm

			==== MC1: ====
			Lots of data wrangling/pre-processing at initial stage of analysis.
			Built in-house analysis tool to examine tweets. Application features frequency chart, map, and filtering frames.
			* Started by looking at map overview for tweet patterns
			* Refinement patterns focus on identifying "interesting" tweet clusters in overview, using word cloud for detail views and user IDs, and then tracking user IDs for finding more pivotal events. Also looks at full tweets on occasion.

			==== MC2: ====
			==== MC3: ====

Connor Gramazio: /* Related Products */

2013-03-03T23:38:54Z

Connor Gramazio at 23:38, 3 March 2013

2013-03-03T23:38:36Z

← Older revision		Revision as of 23:38, 3 March 2013
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	* What data works better in layers and what data works better in separate windows and why?		* What data works better in layers and what data works better in separate windows and why?
	More questions:		More questions:

			== Related Work ==


			== Related Products ==
			Palantir – http://www.palantir.com/ (http://www.cs.umd.edu/hcil/VASTchallenge2010/Entries/196_Palantir_GC/index_grand.htm) (http://vac.nist.gov/2008/entries/Palantir-Palantir-Grand-1/index.html)
			Oculus – http://www.oculusinfo.com/ (http://www.oculusinfo.com/nspace2-and-the-ieee-vast-challenge/)

Steven Gomez: Added slides from Aptima

2013-03-03T22:54:26Z

Added slides from Aptima

← Older revision		Revision as of 22:54, 3 March 2013
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			Slides from Aptima about this project and Brown collaboration: [[Media:AARDVARK_use_case.pdf]]

	== VAST Challenge 2011 Info ==		== VAST Challenge 2011 Info ==

Steven Gomez: /* VAST Challenge 2011 Info */

2013-03-03T22:48:06Z

VAST Challenge 2011 Info

← Older revision		Revision as of 22:48, 3 March 2013
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	== VAST Challenge 2011 Info ==		== VAST Challenge 2011 Info ==
	The task descriptions are available here: http://hcil.cs.umd.edu/localphp/hcil/vast11/index.php/taskdesc/index		The task descriptions are available here: http://hcil.cs.umd.edu/localphp/hcil/vast11/index.php/taskdesc/index

	The dataset for the challenge is available here: http://hcil.cs.umd.edu/localphp/hcil/vast11/index.php/dataset/register		The dataset for the challenge is available here: http://hcil.cs.umd.edu/localphp/hcil/vast11/index.php/dataset/register

← Older revision		Revision as of 14:50, 13 March 2013
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	== Related Products ==		== Related Products ==
	Palantir – http://www.palantir.com/ (http://www.cs.umd.edu/hcil/VASTchallenge2010/Entries/196_Palantir_GC/index_grand.htm~~) (~~http://vac.nist.gov/2008/entries/Palantir-Palantir-Grand-1/index.html)		Palantir – http://www.palantir.com/
			2010 and 2008 entries
			http://www.cs.umd.edu/hcil/VASTchallenge2010/Entries/196_Palantir_GC/index_grand.htm
			http://vac.nist.gov/2008/entries/Palantir-Palantir-Grand-1/index.html

	Oculus – http://www.oculusinfo.com/ (http://www.oculusinfo.com/nspace2-and-the-ieee-vast-challenge/)		Oculus – http://www.oculusinfo.com/
			2010 entry
			http://www.oculusinfo.com/nspace2-and-the-ieee-vast-challenge/

	== Solutions ==		== Solutions ==

← Older revision		Revision as of 23:38, 3 March 2013
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	== Related Products ==		== Related Products ==
	Palantir – http://www.palantir.com/ (http://www.cs.umd.edu/hcil/VASTchallenge2010/Entries/196_Palantir_GC/index_grand.htm) (http://vac.nist.gov/2008/entries/Palantir-Palantir-Grand-1/index.html)		Palantir – http://www.palantir.com/ (http://www.cs.umd.edu/hcil/VASTchallenge2010/Entries/196_Palantir_GC/index_grand.htm) (http://vac.nist.gov/2008/entries/Palantir-Palantir-Grand-1/index.html)

	Oculus – http://www.oculusinfo.com/ (http://www.oculusinfo.com/nspace2-and-the-ieee-vast-challenge/)		Oculus – http://www.oculusinfo.com/ (http://www.oculusinfo.com/nspace2-and-the-ieee-vast-challenge/)