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Raptor: An Enterprise Knowledge Discovery Engine Enterprises generate large quantities of information contained in documents, presentations, spreadsheets, and databases. This information is stored across file shares, intranet portals, user desktops, and other business unit applications. Combined with a lack of structured organizational tools, keywords, tags, or other automated retrieval tools, …

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Search Method for Real-time Knowledge Discovery Modeled on the Human Brain A new computational search method developed by an ORNL researcher detects patterns in digital data by adapting unique information processing properties of the human brain to computational knowledge discovery. The ORNL method follows a new paradigm, the neocortex of the human brain, which has superior speed and insight in p…

: Fact Sheets
: Knowledge Base, Survey, process...

Radio Channel Simulator (RCSim) is a simulation package for making site-specific predictions of radio signal strength. The software computes received power at discrete grid points as a function of the transmitter location and propagation environment. It is intended for use with wireless network simulation packages and to support wireless network deployments. The propagation model predicts signal s…

To make effective cybersecurity decisions, stakeholders need to assess security countermeasures, architecture, and operations. ORNL researchers invented an improved security metric to support analysis of how well a system meets its security objectives. The technology provides courses of action that have the highest risk reduction return on investment, reducing the most risk for the lowest cost. C…

SITU—Real-Time Situational Understanding and Discovery of Cyber Attacks In the deluge of data in today s networks, operators need better tools to help identify suspicious behavior that bypasses automated security systems. Further, operators need to understand what makes an event suspicious to determine the importance and impact of the event. Highlighting such suspicious behavior helps operators f…

: Fact Sheets
: Tooling, model, Science...
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SITU—Real-Time Situational Understanding and Discovery of Cyber Attacks In the deluge of data in today s networks, operators need better tools to help identify suspicious behavior that bypasses automated security systems. Further, operators need to understand what makes an event suspicious to determine the importance and impact of the event. Highlighting such suspicious behavior helps operators f…

: Fact Sheets
: Tooling, model, Science...

Big Data App Store: Democratizing Data-Science with On-Demand Analytics Web 2.0, the Internet as we know it today, was not constructed to handle the growing amounts of data and increasingly large data sets known as Big Data. Further complicating things, many of the data sets are either unstructured (80% by one estimate) or stored in distributed resources with different schemas, formats, and str…

: Fact Sheets
There is 1 document very similar to this result - View

Big Data App Store: Democratizing Data-Science with On-Demand Analytics Web 2.0, the Internet as we know it today, was not constructed to handle the growing amounts of data and increasingly large data sets known as Big Data. Further complicating things, many of the data sets are either unstructured (80% by one estimate) or stored in distributed resources with different schemas, formats, and str…

SciDAC's Earth System Grid Center for Enabling Technologies Semi-Annual Progress Report for the Period October 1, 2009 through March 31, 2010 LLNL-TR-428144 SciDAC's Earth System Grid Center for Enabling Technologies Semi-Annual Progress Report for the Period October 1, 2009 through March 31, 2010 D. N. Williams, I. T. Foster, D. E. Middleton, R. Ananthakrishnan, F. Siebenlist, A. Shoshani,…

Computational Method for Improved Forewarning of Critical Events ORNL s computational method for analyzing nonlinear processes provides improved forewarning of imminent critical events. This is achieved through phase space dissimilarity analysis of data from mechanical or electrical devices, biomedical data, or other physical processes. The need to distinguish between similar, yet distinct, state…

Detecting Temporal Precursor Words and Phrases Using a Learning Algorithm and Wavelet Analysis RMost research on mammography focuses on image data, not textual reports. However, the reports associated with patient visits offer a valuable set of observations. To take advantage of these sequential writings, a robust ORNL learning algorithm assembles, searches, and analyzes cue phrases in radiol…

: Fact Sheets
: Education, Patterning, Imaging...

Agent-Based Software for Gathering and Summarizing Textual and Internet Information ORNL s Piranha solves the challenge most users face: finding a way to sift through large amounts of data that provide accurate and relevant information. This requires software that can quickly filter, relate, and show documents and relationships. Piranha is JavaScript search, analysis, storage, and retrieval softw…

: Fact Sheets
: Information , Measure, Internet...
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