Heuristics to quantify data quality

A data and quality technology, applied in data processing applications, based on specific mathematical models, dynamic trees, etc., can solve problems such as difficult analysis, errors, and unrealistic data

Inactive Publication Date: 2015-09-23
MICROSOFT TECH LICENSING LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, data that falls outside the predetermined model yields less realistic and even potentially erroneous results
In these cases, any adjustments made to the product based on false expectations could have

Method used

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  • Heuristics to quantify data quality
  • Heuristics to quantify data quality
  • Heuristics to quantify data quality

Examples

Experimental program
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Embodiment Construction

[0012] overview

[0013] Various embodiments generate at least one heuristic for a set of historical data. For example, data associated with past performance of systems and / or products may be collected and / or stored in a repository. In some cases, a historical data set may be partitioned into segments, and heuristic(s) may be generated for each segment. The size of each segment may be variable and / or fixed in length relative to each other. Alternatively or additionally, the size of the segments may be based at least in part on characteristics and / or attributes associated with the analyzed historical data. In response to generating the heuristic(s) from historical data, some embodiments generate one or more forecasts based at least in part on the heuristic(s). For example, a forecast may be generated from the heuristic(s) to plan and / or anticipate future behavior(s) of the system and / or product. Some embodiments store the forecast(s) in a repository for future use, as dis...

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Abstract

Various embodiments provide an ability to detect an input associated with an element for which a cascading operation has been defined. Some embodiments apply the cascading operation to the element, and further apply one or more cascading operations to less than all ancestral elements in an associated tree for which cascading operations have been defined. In some cases, the one or more cascading operations can be applied to one or more respective ancestral elements after a predefined waiting period.

Description

Background technique [0001] Developing and maintaining a product can sometimes be an ongoing process. As an example, when a product is deployed to users, usage information associated with the product may be collected as a measure for feedback on how well the product works, whether the product meets intended goals, and the like. Depending on the results determined from the usage information, adjustments may be made to product characteristics, how the product is deployed to users, and the like. Traditionally, product developers predetermine what data to collect associated with usage information and which static data analysis routines to utilize to generate metrics that quantify how the product works. In some cases, these metrics and / or data analysis routines may be based on predetermined models as a measure of predictive future behavior. Assuming that the collected usage information data fits into a predetermined model, static data analysis routines generate some measure of re...

Claims

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Application Information

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IPC IPC(8): G06N7/00
CPCG06N7/00G06Q30/0202G06N5/01
Inventor B.J.多夫H.克劳坎普
Owner MICROSOFT TECH LICENSING LLC
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