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System and method for mining surprising temporal patterns

Patent 6189005 Issued on February 13, 2001. Estimated Expiration Date: Icon_subject August 21, 2018. 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.

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Inventors

Application

No. 138062 filed on 08/21/1998

US Classes:

707/6, Pattern matching access707/1, DATABASE OR FILE ACCESSING707/7, Sorting707/101, Manipulating data structure (e.g., compression, compaction, compilation)707/201Coherency (e.g., same view to multiple users)

Examiners

Primary: Amsbury, Wayne
Assistant: Mizrahi, Diane D.

Attorney, Agent or Firm

International Class

G06F 017/30

Abstract

A system and method for data mining is provided in which temporal patterns of itemsets in transactions having unexpected support values are identified. A surprising temporal pattern is an itemset whose support changes over time. The method may use a minimum description length formulation to discover these surprising temporal patterns.

Other References

  • IEEE publication, "An Architecture fro Temporal Data Mining" by Xiaodong Chen et al., Dept. of Mathematics, Manchester, MI 5GD England, p. 8/1-8/4, Jan. 1998
  • "Quest Technologies", IBM Data Mining Research, http://www.almaden.ibm.com/cs/quest/technologies.html, pp. 1-3, no date
  • "Statistical Pattern Recogntion: A Review" by Anil K. Jain et al, IEEE Transactions of Pattern Analysis and Machine Intelligence, vol. 22, No. 1, pp. 4-37, Jan. 2000
  • "A Primer for Understanding and Applying Data Mining" by Bhavani Thuraisingham, IT Pro, pp. 28-31, Jan. 2000
  • R. Agrawal et al, "Mining Association Rules Between Sets of Items In Large Databases", PROC 1993 ACM SIGMOD Conference, pp. 207-216, 199
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