Data processing: database and file management or data structures – Database design – Data structure types
Reexamination Certificate
2007-08-14
2007-08-14
Kindred, Alford W (Department: 2163)
Data processing: database and file management or data structures
Database design
Data structure types
C707S793000, C700S092000
Reexamination Certificate
active
10764738
ABSTRACT:
The present invention relates to a system and methodology for automatic clusterization and display of data items in a local or remote database system. Such clusterization can be based on properties associated with the data items such as a type, location, people, date, time, user-defined, and so forth, wherein an initial property may be employed to form a first level of clusterization and a subsequent property may be automatically determined to form an optimized clusterization from which to find and retrieve desired information. A computerized interface for organizing and retrieving data is provided. The interface includes a property analyzer to determine an item distribution for at least two cluster properties and an organizer that forms new clusters based in part on the item distribution.
REFERENCES:
patent: 5801699 (1998-09-01), Hocker et al.
patent: 6415282 (2002-07-01), Mukherjea et al.
patent: 6539374 (2003-03-01), Jung
patent: 6578032 (2003-06-01), Chandrasekar et al.
patent: 6606613 (2003-08-01), Altschuler et al.
patent: 2002/0169764 (2002-11-01), Kincaid et al.
patent: 2003/0200198 (2003-10-01), Chandrasekar et al.
patent: 2004/0093321 (2004-05-01), Roustant et al.
patent: 2005/0278321 (2005-12-01), Vailaya et al.
T. Zhang, R. Ramakrishnan, and M. Livny. BIRCH: An Efficient Data Clustering Method for Very Large Databases. In Proc. of the 1996 ACM SIGMOD International Conference on Management of Data, Montreal, Canada, pp. 103-114.
G.L. Somlo and A.E. Howe. Incremental Clustering for Profile Maintenance in Information Gathering Web Agents. In Proc. Of the fifth International Conference on Autonomous Agents, pp. 262-269, 2001.
Cheng Lili
MacLaurin Matthew
Rashid Richard F.
Turski Andrzej
Amin Turocy & Calvin LLP
Kindred Alford W
Microsoft Corporation
LandOfFree
Automatic query clustering does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Automatic query clustering, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Automatic query clustering will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3847984