Applications of Massive Data and Data Mining Techniques Concerning Safety Data
Sector: Road • Location: Washington, United States of America (USA)
Source: Federal Highway Administration (FHWA)
Two Exploratory Advanced Research (EAR) projects have been approved to develop algorithms suitable for aggregating and synthesizing disparate data to optimize the use of the second Strategic Highway Research Program (SHRP2) data. Goals: Develop algorithms to integrate massive amounts of disparate data in anticipation of SHRP2.
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | completed |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | Two Exploratory Advanced Research (EAR) projects have been approved to develop algorithms suitable for aggregating and synthesizing disparate data to optimize the use of the second Strategic Highway Research Program (SHRP2) data. Goals: Develop algorithms to integrate massive amounts of disparate data in anticipation of SHRP2. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
