The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 31, 2006

Filed:

May. 08, 2002
Applicants:

Matthew Denesuk, San Jose, CA (US);

Daniel Frederick Gruhl, San Jose, CA (US);

Kevin Snow Mccurley, San Jose, CA (US);

Joerg Meyer, San Jose, CA (US);

Sridhar Rajagopalan, San Jose, CA (US);

Andrew S. Tomkins, San Jose, CA (US);

Jason Yeong Zien, San Jose, CA (US);

Inventors:

Matthew Denesuk, San Jose, CA (US);

Daniel Frederick Gruhl, San Jose, CA (US);

Kevin Snow McCurley, San Jose, CA (US);

Joerg Meyer, San Jose, CA (US);

Sridhar Rajagopalan, San Jose, CA (US);

Andrew S. Tomkins, San Jose, CA (US);

Jason Yeong Zien, San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/30 (2006.01);
U.S. Cl.
CPC ...
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 and stored into underlying vertical and horizontal tables respectively representing miner outputs and entities that can be the subjects of indexing. 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 the keys being associated with the entities in the tables. 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.


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