Methods and apparatus for user-centered similarity learning

Data processing: database and file management or data structures – Database design – Data structure types

Reexamination Certificate

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C707S793000, C707S793000

Reexamination Certificate

active

06970884

ABSTRACT:
Techniques are provided for incorporating human or user interaction in accordance with the design and/or performance of data mining applications such as similarity determination and classification. Such user-centered techniques permit the mining of interesting characteristics of data in a data or feature space. For example, such interesting characteristics that may be determined in accordance with the user-centered mining techniques of the invention may include a determination of similarity among different data objects, as well the determination of individual class labels. These techniques allow effective data mining applications to be performed in accordance with high dimensional data.

REFERENCES:
patent: 5517606 (1996-05-01), Matheny et al.
patent: 5764975 (1998-06-01), Taniguchi et al.
patent: 5838965 (1998-11-01), Kavanagh et al.
patent: 6212526 (2001-04-01), Chaudhuri et al.
patent: 6611825 (2003-08-01), Billheimer et al.
patent: 6633882 (2003-10-01), Shanmugasundaram et al.
A. Hinneburg et al., “What is the nearest neighbor in High Dimensional Space?,” VLDB Conference, 2000.
C.C. Aggarwal, “Re-designing distance functions and distance based applications for high dimensional data,” ACM SIGMOD Record, Mar. 2001.
C.C. Aggarwal et al., “Reversing the dimensionality curse for similarity indexing in high dimensional space,” ACM SIGKDD Conference, 2001.
J. Gehrke et al., “BOAT: Optimistic Decision Tree Construction,” ACM SIGMOD Conference Proceedings, pp. 169-180, 1999.
J. Gehrke et al., “RainForest: A Framework for Fast Decision Tree Construction of Large Data Sets,” VLDB Conference Proceedings, 1998.
R. Rastogi et al., “PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning,” VLDB Conference, 1998.
J. Shafer et al., “SPRINT: A scalable Parallel Classifier for Data Mining,” VLDB Conference, 1996.
M. Mehta et al., “SLIQ: A Fast Scalable Classifier for Data Mining,” EDBT Conference, 1996.

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