Data store for knowledge-based data mining system

US6993534B2 · kind B2 · utility

Assignee

• International Business Machines Corporation · US

Inventors

• Matthew Denesuk · San Jose, US
• Daniel Gruhl · San Jose, US
• Kevin Snow McCurley · San Jose, US
• Joerg Meyer · Ludwigsburg, DE
• Sridhar Rajagopalan · Saratoga, US
• Andrew Tomkins · Menlo Park, US
• Jason Zien · Monte Sereno, US

Key dates

• Filing date: May 8, 2002
• Grant date: Jan 31, 2006
• Expiry date: Jun 14, 2023

Classification

• Technology area (CPC Y): Emerging Cross-Sectional Technologies
• CPC primary: Y10S707/99945
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

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.