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Title: US5878413: System and method for defining shapes with which to mine time sequences in computerized databases
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Country: US United States of America

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21 pages

 
Inventor: Agrawal, Rakesh; San Jose, CA
Psaila, Giuseppe; Dalmine, Italy
Wimmers, Edward L.; San Jose, CA
Zait, Mohamed; Campbell, CA

Assignee: International Business Machines Corporation, Armonk, NY
other patents from INTERNATIONAL BUSINESS MACHINES CORPORATION (280070) (approx. 44,393)
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Published / Filed: 1999-03-02 / 1997-10-08

Application Number: US1997000947227

IPC Code: Advanced: G06F 17/30;
Core: more...
IPC-7: G06F 17/30;

ECLA Code: G06F17/30S4P8Q; G06F17/30S2P3; G06F17/30S4P8D;

U.S. Class: Current: 707/006; 382/181; 382/187; 382/188; 382/189; 707/007; 708/607;
Original: 707/006; 382/181; 382/187; 382/188; 382/189; 707/006; 707/007;

Field of Search: 707/006,516,7 382/181,187,188,189 704/002

Priority Number:
1997-10-08  US1997000947227
1995-06-02  US1995000459018

Abstract:     A system and method including a computer shape definition language are disclosed for defining shapes and mining time sequences that resemble the shapes. The system and method include provisions for establishing a user-defined alphabet that in turn establishes a set of elemental shapes. The system also includes simple yet powerful operators for combining the elemental shapes to define a desired time sequence shape. Moreover, intervals of actual time sequences are mapped into corresponding transition sequences using the alphabet, and the transition sequences are stored in a hierarchical index structure for easily accessing the transition sequences. The index structure is entered with the desired time sequence shape, and the index structure is traversed to identify maximal actual transition sequences which conform to the desired time sequence shape, within user-definable blurry criteria.

Attorney, Agent or Firm: Gray Cary Ware Freidenrich ;

Primary / Asst. Examiners: Black, Thomas G.; Corrielus, Jean M.

INPADOC Legal Status: None          Buy Now: Family Legal Status Report

       
Related Applications:
Application Number Filed Patent Pub. Date  Title
US1995000459018 1995-06-02    1998-04-07  System and method for defining shapes with which to mine time sequences in computerized databases


       
Parent Case:     This application is a division of application Ser. No. 08/459,018, filed Jun. 2, 1995, now issued as U.S. Pat. No. 5,737,593.

Family: Show 3 known family members

First Claim:
Show all 32 claims
We claim:     1. A method for defining time sequence shape criteria and identifying electronically stored time sequences satisfying the shape criteria, comprising method steps of:
  • (a) defining a set of elemental shapes;
  • (b) defining a desired time sequence shape using the elemental shapes or combinations thereof;
  • (c) mapping intervals of a time sequence to corresponding transition sequences, each transition sequence corresponding to one or more elemental shapes or combinations thereof that describe a respective interval of the time sequence;
  • (d) identifying one or more transition sequences that match the desired time sequence shape; and
  • (e) outputting parameter values representative of the one or more transition sequences that match the desired time sequence shape.


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Forward References: Show 3 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (3)   |   Backward references (8)   |   Citation Link

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Patent  Pub.Date  Inventor Assignee   Title
Buy PDF- 9pp US4110736  1978-08 Kono  Agency of Industrial Science & Technology Shape recognition system
Buy PDF- 8pp US4644585  1987-02 Crimmins et al.  Environmental Research Institute of Michigan Method and apparatus for automatic shape recognition
Buy PDF- 30pp US5164996  1992-11 Pastor   Optical character recognition by detecting geo features
Buy PDF- 46pp US5452371  1995-09 Bozinivic et al.  Apple Computer, Inc. Method of aligning shapes on a display of a computer system
Buy PDF- 10pp US5509087  1996-04 Nagamine  Casio Computer Co., Ltd. Data entry and writing device
Buy PDF- 40pp US5517578  1996-05 Altman et al.  aha! software corporation Method and apparatus for grouping and manipulating electronic representations of handwriting, printing and drawings
Buy PDF- 11pp US5544260  1996-08 Chefalas et al.  International Business Machines Corporation Silent training by error correction for on-line handwritting recognition systems
Buy PDF- 24pp US5550931  1996-08 Bellegarde et al.  International Business Machines Corporation Automatic handwriting recognition using both static and dynamic parameters
       
Foreign References: None

Other References:
  • Berndt, et al., "Using Dynamic Time warping to Find Patterns in Time Series", KDD-94: AAAI Workshop on Knowledge Discovery in Databases, pp. 359-370, Seattle, Washington, Jul. 1994.
  • N. H. Gehani, et al., "Composite Event Specification in Active Databases: Model & Implementation", Proceedings of the VLDB Conference, pp. 327-338, Vancouver, British Columbia, Canada, Aug. 1992.
  • Rakesh Agrawal, et al., "Database Mining: A Performance Perspective", IEEE Transactions on Knowledge and Data Engineering, 5(6):914-925, Dec. 1993. (12 pages) Cited by 35 patents [ISI abstract]
  • Praveen Seshadri, et al., "SEQ: A framework for Sequence Databases", Computer Sciences department, pp. 1-24, University of Wisconsin-Madison, WI 52706, U.S.A., no date.
  • Praveen Seshadri, et al., "Sequence Query Processing", Computer Sciences Department, pp. 1-12, University of Wisconsin-Madison, WI 53706, U.S.A., no date.
  • Rakesh Agrawal, et al., "An Interval Classifier for Database Mining Applications", Proceedings of the 18th VLDB Conference, pp. 1-14, Vancouver, British Columbia, Canada, 1992.
  • Andrea Califano, et al., "FLASH: A Fast Look-up Algorithm for String Homology", Proceedings of the 1st International Conference on Intelligent Systems for Molecular Biology, pp. 353-359, Bethesda, MD, Jul. 1993.
  • S. Chakravarthy, et al., "Composite Events for Active Databases: Semantics, Contexts, and Detection", Preceedings of the VLDB Conference, pp. 606-617, Santiago, Chile, Sep. 1994. (QA76.9D3.I559 1992).
  • J. T. Wang, et al. "Combinatorial Pattern Discovery for Scientific Data: Some Preliminary Results", Proceedings of the ACM SIGMOD Conference on Management of Data, pp. 115-125, Minneapolis, May 1994.
  • Sellis, et al., "The R+ Tree: A Dynamic Index for Multi-Dimensional Objects", 1987 Proceedings 13th International Conference on VLDB, pp. 507-518, England, 1987. (QA76.9.D3 I559).
  • S. Wu, et al., "Fast Text Searching", Communications of the ACM, pp. 83-91, vol. 35, No. 10, Oct. 1992. (9 pages) Cited by 13 patents [ISI abstract]
  • Martin Vingron and Patrick Argos, "A Fast and Sensitive Multiple Sequence Alignment Algorithm", Computer Applications in the Biosciences, 5:115-122, 1989. (W1.C0528.BML 1st & 2nd Fl.). (7 pages) Cited by 4 patents
  • M.A. Roytberg, "A Search For Common Patterns in Many Sequences", Computer Applications in the Biosciences, 8(i):57-64, 1992. (8 pages) Cited by 6 patents [ISI abstract]
  • S.Gatziu and K.R. Dittrich, "Detecting Composite Events in Active Databases Using Petri Nets", Proceedings of the 4th International Workshop on Research Issues in Data engineering: Active Database Systems, pp. 2-9, Feb. 1994. (QA76.9D3.I593 1993).
  • IBM Database 2 Application Programming Guide for Common Servers, Version 2, pp. 275-304 (1995).
  • Montage User's Guide, pp. 8-1 through 8-5 (Mar. 1994).


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