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Content with tag big data .

Rowe, Neil C.

Today's increasingly effective methods of data collection are creating large amounts of data that cannot be processed and combined with traditional techniques such as integrated databases. Read More...

Zhao, Ying

Accurate, relevant and timely combat identification (CID) enables the warfighter to locate and identify critical airborne targets with high precision. Read More...

Gallup, Shelley P.

The Navy Insider Threat (InT) program includes an InT hub as the nexus of threat information and case management. Read More...

Kamel, Magdi N.

The goal of this research is to propose an end-to-end application architecture to support the analysis of Big Data for the Common Tactical Picture. Specifically the proposed research will seek answers to the following questions: 1. Read More...

Kamel, Magdi N.

Big data is opening up new opportunities for organizations to gain insight and make intelligent inferences from huge volumes of data in real time and across multiple relational and non relational data types. Read More...

Lucas, Thomas W.

The Navy uses complex models to help manage its human capital. These models help Navy leadership understand the potential impacts and risks of changes to force structure, policies, and the economy on its future personnel. Read More...

Lucas, Thomas W.

Secretary of the Navy Ray Mabus identifies Sailors as “the Navy and Marine Corps' greatest edge. Read More...

Rowe, Neil C.

This work will investigate the application of big-data methods to combat ID, especially the classification of targets. Read More...

Murphree, James T.

Navy long range planning (leads of weeks to years) will be substantially enhanced by new long range forecast (LRF) systems that Naval Oceanography will put into operational use in the next 1-5 years. Read More...

Zhao, Ying

The Distributed lethality concept seeks to capitalize on the mobility and dispersed presence of naval forces (e.g. Surface Action Groups (SAG)) through increased lethality over an extended geographic area. Read More...

Das, Arijit

The purpose of this project is to propose an architecture and associated analysis to support Big-Data needs in Logistics Management for the USMC. Currently data us ingested and then aggregated as a portfolio across various independent entities. Read More...

Buttrey, Samuel E.

This research will explore the use of multiple statistical analysis approaches to project enlisted Navy sailor retention behavior. Approaches to investigate include regression analysis, “credit” scoring, big data techniques, machine learning and random forests. Read More...

Ross, Isaac M.

There are various methods to analyze data. ARIMA is represented by three parameters: degree of autoregressive, degree of integration and degree of moving average. This method is popular due to its statistical properties and the availability of classical models (e.g. Box-Jenkins). Read More...

Zhao, Ying

Accurate, relevant and timely combat identification (CID) enables the warfighter to locate and identify critical airborne targets with high precision. Read More...

Kamel, Magdi N.

Big data is opening up new opportunities for organizations to gain insight and make intelligent inferences from huge volumes of data in real time and across multiple relational and non relational data types. Read More...

Lucas, Thomas W.

The Navy uses complex models to help manage its human capital. These models help Navy leadership understand the potential impacts and risks of changes to force structure, policies, and the economy on its future personnel. Read More...

Lucas, Thomas W.

The Navy uses complex models to help manage its human capital. These models help Navy leadership understand the potential impacts and risks of changes to force structure, policies, and the economy on its future personnel. Read More...

Lucas, Thomas W.

The Navy uses complex models to help manage its human capital. These models help Navy leadership understand the potential impacts and risks of changes to force structure, policies, and the economy on its future personnel. Read More...

Zhao, Ying

The Distributed lethality concept seeks to capitalize on the mobility and dispersed presence of naval forces (e.g. Surface Action Groups (SAG)) through increased lethality over an extended geographic area. Read More...

Das, Arijit

The purpose of this project is to propose an architecture and associated analysis to support Big-Data needs in Logistics Management for the USMC. Currently data us ingested and then aggregated as a portfolio across various independent entities. Read More...

Ross, Isaac M.

There are various methods to analyze data. ARIMA is represented by three parameters: degree of autoregressive, degree of integration and degree of moving average. This method is popular due to its statistical properties and the availability of classical models (e.g. Box-Jenkins). Read More...

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Asset Publisher

Content with tag big data .

Ross, Isaac M.

There are various methods to analyze data. ARIMA is represented by three parameters: degree of autoregressive, degree of integration and degree of moving average. This method is popular due to its statistical properties and the availability of classical models (e.g. Box-Jenkins). Read More...

Zhao, Ying

The Distributed lethality concept seeks to capitalize on the mobility and dispersed presence of naval forces (e.g. Surface Action Groups (SAG)) through increased lethality over an extended geographic area. Read More...

Das, Arijit

The purpose of this project is to propose an architecture and associated analysis to support Big-Data needs in Logistics Management for the USMC. Currently data us ingested and then aggregated as a portfolio across various independent entities. Read More...

Lucas, Thomas W.

The Navy uses complex models to help manage its human capital. These models help Navy leadership understand the potential impacts and risks of changes to force structure, policies, and the economy on its future personnel. Read More...

Lucas, Thomas W.

The Navy uses complex models to help manage its human capital. These models help Navy leadership understand the potential impacts and risks of changes to force structure, policies, and the economy on its future personnel. Read More...

Lucas, Thomas W.

The Navy uses complex models to help manage its human capital. These models help Navy leadership understand the potential impacts and risks of changes to force structure, policies, and the economy on its future personnel. Read More...

Kamel, Magdi N.

Big data is opening up new opportunities for organizations to gain insight and make intelligent inferences from huge volumes of data in real time and across multiple relational and non relational data types. Read More...

Zhao, Ying

Accurate, relevant and timely combat identification (CID) enables the warfighter to locate and identify critical airborne targets with high precision. Read More...

Ross, Isaac M.

There are various methods to analyze data. ARIMA is represented by three parameters: degree of autoregressive, degree of integration and degree of moving average. This method is popular due to its statistical properties and the availability of classical models (e.g. Box-Jenkins). Read More...

Buttrey, Samuel E.

This research will explore the use of multiple statistical analysis approaches to project enlisted Navy sailor retention behavior. Approaches to investigate include regression analysis, “credit” scoring, big data techniques, machine learning and random forests. Read More...

Zhao, Ying

The Distributed lethality concept seeks to capitalize on the mobility and dispersed presence of naval forces (e.g. Surface Action Groups (SAG)) through increased lethality over an extended geographic area. Read More...

Das, Arijit

The purpose of this project is to propose an architecture and associated analysis to support Big-Data needs in Logistics Management for the USMC. Currently data us ingested and then aggregated as a portfolio across various independent entities. Read More...

Rowe, Neil C.

This work will investigate the application of big-data methods to combat ID, especially the classification of targets. Read More...

Murphree, James T.

Navy long range planning (leads of weeks to years) will be substantially enhanced by new long range forecast (LRF) systems that Naval Oceanography will put into operational use in the next 1-5 years. Read More...

Lucas, Thomas W.

The Navy uses complex models to help manage its human capital. These models help Navy leadership understand the potential impacts and risks of changes to force structure, policies, and the economy on its future personnel. Read More...

Lucas, Thomas W.

Secretary of the Navy Ray Mabus identifies Sailors as “the Navy and Marine Corps' greatest edge. Read More...

Kamel, Magdi N.

Big data is opening up new opportunities for organizations to gain insight and make intelligent inferences from huge volumes of data in real time and across multiple relational and non relational data types. Read More...

Kamel, Magdi N.

The goal of this research is to propose an end-to-end application architecture to support the analysis of Big Data for the Common Tactical Picture. Specifically the proposed research will seek answers to the following questions: 1. Read More...

Gallup, Shelley P.

The Navy Insider Threat (InT) program includes an InT hub as the nexus of threat information and case management. Read More...

Zhao, Ying

Accurate, relevant and timely combat identification (CID) enables the warfighter to locate and identify critical airborne targets with high precision. Read More...

Rowe, Neil C.

Today's increasingly effective methods of data collection are creating large amounts of data that cannot be processed and combined with traditional techniques such as integrated databases. Read More...