Real property ownership is often depicted on 2-dimensional maps or plats having North-South and East-West coordinates. Two dimensions are adequate when property rights only involve surface uses of the earth or near-surface uses like easements, utility lines or cable. Two dimensions even work when mineral leases cover subsurface property rights so long as all the […]

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Architectural and engineering drawings stored by an organization are often created over many years using multiple systems. However, they can be effectively managed by taking a unified approach to how they are indexed and linked. A unified approach includes a machine-based analysis of: All drawing formats, including scanned paper drawings and native CAD/CAM files. All types of […]

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Glyphs can be used to consistently deconstruct, classify, and attribute large volumes of files permitting effective management of them. Deconstruction breaks files into their smallest visual elements, classification uses data visualization at the page level, and attribution selects specified glyphs or their text values from within classifications. Deconstruction The word “glyph” has several meanings. In […]

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Enterprise Content Management systems enable organizations to work effectively with their unstructured content. ECM typically takes a more holistic view of an organization’s documents than e-discovery and enhances the ability to retrieve and analyze documents beyond what e-discovery is typically able to achieve. ECM classifies unstructured content, provides controlled access to it, and assigns granular […]

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How organizations deal with outliers, those data points that occur where they’re not expected, provide useful insights into the culture and data maturity of those organizations. Outliers occurring in simple frequency graphs could be blips that occur at the extreme ends of the normal curve. In e-discovery, outliers can be documents flagged by analytics software […]

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Selection bias occurs when data are selected for analysis in a way that not all objects being evaluated are equally likely to be selected. This results in samples that are not representative of entire populations. An extreme example would be predicting the presidential race by only sampling New York City or Los Angeles, or predicting all […]

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The BeyondRecognition Network

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