Data comparison using different time periods in data sequences

Details Data comparison using different time periods in data sequences Data comparison using different time periods in data sequences

2011-06-14

2011-06-14

Sparks, Donald (Department: 2129)

Data processing: artificial intelligence

Knowledge processing system

Knowledge representation and reasoning technique

C706S018000, C706S020000, C707S723000, C707S725000, C707S737000

Reexamination Certificate

active

07962437

ABSTRACT:
Data for a first time period in a primary data sequence is compared with data for a second time period in each of a set of secondary data sequences. The durations of the first and second time periods are correlated, and the first time period is different from the second time period. A ranking is assigned to each secondary data sequence based on the corresponding data for the second time period. The ranking for each of the set of secondary data sequences is written to a computer useable medium. The primary data sequence and the set of secondary data sequences are adjusted based on a request to change the primary data sequence to one of the set of secondary data sequences. The comparing, assigning, and writing are repeated for the adjusted primary data sequence and set of secondary data sequences.

REFERENCES:
patent: 6754388 (2004-06-01), Foslien et al.
Haigh et al., Visual Query Language: Finding patterns in and relationships among time series data, Seventh Workshop on Mining Scientific and Engineering Datasets, Apr. 24, 2004.
Haigh et al., “Visual Query Language: Finding patterns in and relationships among time series data,” Seventh Workshop on Mining Scientific and Engineering Datasets, Apr. 24, 2004, Lake Buena Vista, Florida, 8 pages.
Hochheiser et al., “Visual Specification of Queries for Finding Patterns in Time-Series Data,” Visual Specification of Queries, Apr. 10, 2001, pp. 1-17.
Keogh et al., “An Augmented Visual Query Mechanism for Finding Patterns in Time Series Data,” In the 5th International Conference on Flexible Query Answering Systems, 2002, 11 pages.

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