Applying Data Regression and Pattern Mining to Predict Future Demand
First Claim
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1. A computer-based method of mining one or more patterns from a transaction database, comprising:
- identifying a first pattern in a transaction database that meets a minimum support threshold requirement;
for each of a plurality of predetermined time intervals, measuring a pattern frequency value for the first pattern based on the number of times the first pattern occurs in the predetermined time interval; and
processing the pattern frequency values for the first pattern to calculate a predicted pattern frequency value for the first pattern.
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Abstract
A data processing system processes transaction database information to predict future demand using data regression techniques to extract trend line information from historical pattern frequency values. By extrapolating the trend line, a predicted pattern frequency value may be calculated. By applying regression techniques (such as least-squares approximation), the trend line information may be extracted and projected to predict the future pattern frequency which may be applied to calculate the expected value of a recommendation rule.
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Citations
20 Claims
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1. A computer-based method of mining one or more patterns from a transaction database, comprising:
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identifying a first pattern in a transaction database that meets a minimum support threshold requirement;
for each of a plurality of predetermined time intervals, measuring a pattern frequency value for the first pattern based on the number of times the first pattern occurs in the predetermined time interval; and
processing the pattern frequency values for the first pattern to calculate a predicted pattern frequency value for the first pattern. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. An article of manufacture having at least one recordable medium having stored thereon executable instructions and data which, when executed by at least one processing device, cause the at least one processing device to:
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identify a first pattern in a transaction database that meets a minimum support threshold requirement;
measure, for each of a plurality of predetermined time intervals, a pattern frequency value for the first pattern based on how many times the first pattern occurs in the predetermined time interval; and
process the pattern frequency values for the first pattern to calculate a predicted pattern frequency value for the first pattern. - View Dependent Claims (11, 12, 13, 14, 15, 16)
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17. A system for mining pattern frequencies to calculate a predicted pattern frequency, comprising:
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a database for storing a plurality of transactions, comprising a purchase item having a first pattern frequency; and
a processing engine to;
measure, for each of a plurality of predetermined time intervals, a pattern frequency value for the first pattern frequency based on how many times the first pattern frequency occurs in the predetermined time interval; and
process the pattern frequency values for the first pattern frequency to calculate a predicted pattern frequency for the first pattern frequency. - View Dependent Claims (18, 19, 20)
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Specification