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Title: US6473757: System and method for constraint based sequential pattern mining[En]
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Country: US United States of America

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27 pages

 
Inventor: Garofalakis, Minos N.; Chatham Township, NJ
Rastogi, Rajeev; New Providence, NJ
Shim, Kyuseok; Basking Ridge, NJ

Assignee: Lucent Technologies Inc., Murray Hill, NJ
other patents from LUCENT TECHNOLOGIES INC. (722326) (approx. 6,959)
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Published / Filed: 2002-10-29 / 2000-03-28

Application Number: US2000000537082

IPC Code: Advanced: G06F 7/00; G06F 17/30;
Core: more...
IPC-7: G06F 7/00; G06F 17/30;

ECLA Code: G06F17/30S4F9; G06F17/30S4P8D; G06F17/30S4P8Q;

U.S. Class: 707/006;

Field of Search: 707/002,6,9,10

Priority Number:
2000-03-28  US2000000537082

Abstract:     The present invention provides a method and system for sequential pattern mining with a given constraint. A Regular Expression (RE) is used for identifying the family of interesting frequent patterns. A family of methods that enforce the RE constraint to different degrees within the generating and pruning of candidate patterns during the mining process is utilized. This is accomplished by employing different relaxations of the RE constraint in the mining loop. Those sequences which satisfy the given constraint are thus identified most expeditiously. [En]

Attorney, Agent or Firm: Ference & Associates ;

Primary / Asst. Examiners: Breene, John; Rayyan, Susan

INPADOC Legal Status: Show legal status actions

Family: None

First Claim:
Show all 18 claims
What is claimed is:     1. A method for sequential pattern mining using a given constraint, said method comprising the steps of:
  • selecting a second constraint less restrictive than the given constraint;
  • identifying a set of frequent items which satisfy the second less restrictive constraint;
  • producing a set of candidate sequences that satisfy the second less restrictive constraint;
  • removing from the set of candidate sequences those sequences containing at least one subsequence that satisfies the second less restrictive constraint and is not frequent;
  • counting support for all remaining candidate sequences; and
  • continuing to successively produce a set of candidate sequences that satisfy the second less restrictive constraint, remove from the set of candidate sequences those sequences containing at least one subsequence that satisfies the second less restrictive constraint and is not frequent, and count support for all remaining candidate sequences until a given terminating condition is satisfied.


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Forward References: Show 22 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (22)   |   Backward references (5)   |   Citation Link

Buy
PDF
Patent  Pub.Date  Inventor Assignee   Title
Buy PDF- 25pp US5742811  1998-04 Agrawal et al.  International Business Machines Corporation Method and system for mining generalized sequential patterns in a large database
Buy PDF- 16pp US5794209  1998-08 Agrawal et al.  International Business Machines Corporation System and method for quickly mining association rules in databases
Buy PDF- 16pp US5819266  1998-10 Agrawal et al.  International Business Machines Corporation System and method for mining sequential patterns in a large database
Buy PDF- 33pp US6138117  2000-10 Bayardo  International Business Machines Corporation Method and system for mining long patterns from databases
Buy PDF- 17pp US6389416  2002-05 Agarwal et al.  International Business Machines Corporation Depth first method for generating itemsets
       
Foreign References: None

Other References:
  • Agrawal, R; Srikant, R. "Mining Sequential Patterns" Proceedings of the Eleventh International Conference on Data Engineering, 1995. pp. 3-14.


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