Data processing: artificial intelligence – Knowledge processing system
Reexamination Certificate
2006-09-12
2011-11-01
Gaffin, Jeffrey A (Department: 2129)
Data processing: artificial intelligence
Knowledge processing system
Reexamination Certificate
active
08051021
ABSTRACT:
A system and method for resource adaptive classification of data streams. Embodiments of systems and methods provide classifying data received in a computer, including discretizing the received data, constructing an intermediate data structure from said received data as training instances, performing subspace sampling on said received data as test instances and adaptively classifying said received data based on statistics of said subspace sampling.
REFERENCES:
Aggarwal et al (“On Demand Classification of Data Stream” 2004).
Charu Aggarwal (“A Framework for Local Supervised Dimensionality Reduction of High Dimensional Data” Sep. 2006).
Zhou et al (“Adaptively Detecting Aggregation Bursts in Data Stream” 2005).
Wang et al (“A Random Method for Quantifying Changing Distributions in Data Streams” 2005).
Charu Aggarwal (“Hierarchical Subspace Sampling: A unified Framework for High Dimensional Data Reduction, Selectivity Estimation and Nearest Neighbor Search” Jun. 2006).
Yu et al (“A Framework for Resource-aware Knowledge Discovery in Data Streams: A holistic Approach with its Application to Clustering” Apr. 2006).
Yu et al (“LOCUST: An Online Analytical Processing Framework for High Dimensional Classification of Data Streams” IEEE 2008).
Jun et al (“Subspace Clustering of Microarray Data Based on Domain Transformation”, Sep. 11, 2006).
Yu et al (“Resource Adaptive Periodicity Estimation of Streaming Data”, Mar. 2006).
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Aggarwal Charu
Yu Philip Shi-lung
Cantor & Colburn LLP
Gaffin Jeffrey A
International Business Machines - Corporation
Stock William J.
Wong Lut
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