SBIR/STTR Research Award
Tools for Geometric Analysis of Massive High Dimensional Data Sets
Award amount
$747,490Program and phase
SBIR · Phase IIAward year
2010Award details
- Awarding agency
- Department of Defense
- Branch
- Defense Advanced Research Projects Agency
- Recipient company
- Ayasdi Inc.
- Proposal award date
- 2010-09-10
- Contract end date
- 2012-09-09
- UEI
- LDTBNRR9YM37
- Solicitation number
- 2008.2
- Topic code
- SB082-018
Research abstract
We propose to implement the ideas on parallelization of the Mapper (see [14]) visualization methodology developed under our SBIR Phase I effort. Specifically, we will use the MapReduce model, within the Hadoop framework. This development will permit the construction of Mapper outputs for very large data sets. Such methods can then be used to obtain understanding of the massive data sets coming out of the study of internet traffic and advertising, financial market time series, monitoring of consumer behavior within the retail area, and from many other settings.
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
- Data Discovery for Exploitation from Distributed Sources
- Data Discovery for Exploitation from Distributed Sources
- Tools for Geometric Analysis of Massive High Dimensional Data Sets
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
Research funding history
4 SBIR/STTR records share this UEI (2009–2014). Reported award amounts total $2,926,423. Reported amounts are not federal obligations.
Phases: Phase II, Phase I
Agencies: Department of Defense