Method and apparatus for data mining to discover associations and covariances associated with data
AssigneeInternational Business Machines Corporation
InventorBarry Robson
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AssigneeInternational Business Machines Corporation
InventorBarry Robson
Estimating the term…
Data mining techniques are provided which are effective and efficient for discovering useful information from an amorphous collection or data set of records. For example, the present invention provides for the mining of data, e.g., of several or many records, to discover interesting associations between entries of qualitative text, and covariances between data of quantitative numerical types, in records. Although not limited thereto, the invention has particular application and advantage when the data is of a type such as clinical, pharmacogenomic, forensic, police and financial records, which are characterized by many varied entries, since the problem is then said to be one of “high dimensionality” which has posed mathematical and technical difficulties for researchers. This is especially true when considering strong negative associations and negative covariance, i.e., between items of data which may so rarely come together that their concurrence is never seen in any record, yet the fact that this is not expected is of potential great interest.
An automated method of discovering information relating to a collection of input data, the method comprising the steps of:
Apparatus for discovering information relating to a collection of input data, the apparatus comprising:
An article of manufacture for discovering information relating to a collection of input data, comprising a machine readable medium containing one or more programs which when executed implement the steps of:
Dependencies are inferred from the claim text.