Knowledge-based data mining system

a data mining and knowledge-based technology, applied in the field of data mining systems, can solve the problems of consuming a large amount of time, consuming more time than any other phase of a project, and requiring considerable expert time to eliminate perhaps many thousands of otherwise relevant documents, such as government reports, that might be useless in responding to the question,

Inactive Publication Date: 2012-07-03
IBM CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The technical effect that this invention provides for better understanding by analyzing systems' performance based on different levels or types of input received from external sources like sensors. This helps improve overall efficiency and accuracy over time.

Problems solved by technology

Technological Problem: Expert Searches Throughout Data Mining involves searching over vast amounts of irrelevant content found within webpages based upon their attributes like location, URL, etcetera. However this requires significant effort and knowledge beyond just having experts manually inspect every piece of material before deciding who should filter everything.

Method used

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Examples

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Embodiment Construction

[0019]Referring initially to FIG. 1, a system is shown, generally designated 10, for responding to customer requests for data. The system 10 essentially integrates the knowledge of many experts to sift through a large corpus of data to respond to what might be relatively complex requests for information, such as those discussed above.

[0020]In non-limiting embodiments, the system 10 can be used for enterprise data analysis, competitive intelligence, trending, discovery, web portal services, clustering and taxonomy creation. Also, the system 10 can be used to support targeted functions which require significant embedded expertise such as a suite of procurement-specific services (of interest to a particular part of the enterprise).

[0021]The system 10 can be hosted at a single vendor location on one or a cluster of processors to respond to customer requests for data in a service format. Or, portions of the system 10 can be provided to customers for execution of data mining at customer faci

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Abstract

In a data mining system, data is gathered into a data store using, e.g., a Web crawler. The data is classified into entities. Data miners use rules to process the entities and append respective keys to the entities representing characteristics of the entities as derived from rules embodied in the miners. With these keys, characteristics of entities as defined by disparate expert authors of the data miners are identified for use in responding to complex data requests from customers.

Description

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Claims

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Application Information

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Owner IBM CORP
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