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System and method for quickly mining association rules in databases

Patent 5794209 Issued on August 11, 1998. Estimated Expiration Date: Icon_subject August 11, 2015. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.

Patent References

Intersystem data base sharing journal merge method
Patent #: 5151988
Issued on: 09/29/1992
Inventor: Yamagishi

Passive data collection system for market research data
Patent #: 5490060
Issued on: 02/06/1996
Inventor: Malec, et al.

Lossless distribution of time series data in a relational data base network Patent #: 5553279
Issued on: 09/03/1996
Inventor: Goldring

Inventors

Application

No. 415006 filed on 03/31/1995

US Classes:

705/10, Market analysis, demand forecasting or surveying707/5, Query augmenting and refining (e.g., inexact access)709/200MISCELLANEOUS

Examiners

Primary: Cosimano, Edward R.
Assistant: Bainbridge, Barton L.

Attorney, Agent or Firm

International Class

G06F 017/60

Abstract

A system and method for discovering consumer purchasing tendencies includes a computer-implemented program which identifies consumer transaction itemsets that are stored in a database and which appear in the database a user-defined minimum number of times, referred to as minimum support. Then, the system discovers association rules in the itemsets by comparing the ratio of the number of times each of the large itemsets appears in the database to the number of times particular subsets of the itemset appear in the database. When the ratio exceeds a predetermined minimum confidence value, the system outputs an association rule which is representative of purchasing tendencies of consumers.

Other References

  • Agrawal et al., "Mining Association Rules between Sets of Items in Large Databases", Proceedings of the 1993 ACM SIGMOD Conference, May 1993
  • R. Agrawal et al., "Mining Association Rules Between Sets of Items in Large Databases", PROC. 1993 ACM SIGMOD Conf., pp. 207-216, 1993
  • R. Agrawal et al., "Fast Algorithms for Mining Association Rules", Proceedings of the 1994 VLDB Conference, pp. 487-499, 1994
  • M. Houtsma et al., "Set-Oriented Mining for Association Rules in Relational Databases", Proc. 11th Conference on Data Engineering, pp. 25-33, 1995
  • H. Mannila et al., "Improved Methods for Finding Association Rules", Pub. No. C-1993-65, 20 pages, Univ. Helsinki, 1993
  • J.J. Bernardo et al., Sequencing Rules for Productivity Improvements, Pub. Decis. Sci., V. 22, #3, pp. 620-634, Jul.-Aug., 1991
  • M.D. Merrill, et al., Instructional Transaction Shells: Responsibilities, Methods, and Parameters, Pub. Educ. Technol. V. 32, #2, pp. 5-25, Feb. 1992
  • W.D. Hopkins, et al., "Sequential Pattern Recognition Machine", IBM TDB, vol. 16, No. 1, pp. 97-99, 6/73
  • H. Manilla et al., "Dependency Interference", Proc. 13th VLDB Conf., pp. 155-158, Brighton, 1987
  • O. Klaassen, "Modeling Data Base Reference Behavior", Computer Performance Evaluation, G. Balbo, et al, eds, pp. 47-60, 1992
  • G. Piatetsky-Shapiro, "Discovery, Analysis, and Presentation of Strong Rules", Knowledge Discovery in Databases, G. Piatelsby-Shapiro et al., eds., pp. 231-248, Menlo Park, 1991
  • H. Mannila et al., "Efficient Algorithms for Discovering Association Rules", 1994, pp. 181-192, AAAI-94 Workshop on Knowledge Discovery in Databases
  • R. Agrawal et al., "Quest: A Project on Database Mining", 1994, p. 514, Proceedings of the 1994 ACM SIGMOD International Conference on Management of Dat
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