Data processing: database and file management or data structures – Database design – Data structure types
Reexamination Certificate
2006-05-23
2006-05-23
Ali, Mohammad (Department: 2166)
Data processing: database and file management or data structures
Database design
Data structure types
C707S793000, C715S252000
Reexamination Certificate
active
07051029
ABSTRACT:
A method, system, and computer-readable medium for identifying sequences of interaction events of interest that frequently occur is described. In particular, techniques are described for receiving multiple groups each having related interaction events in serial or sequential order, and for determining sequences of interaction events that frequently occur in the multiple groups. Reports can also be generated and provided that include information about the determined frequent sequences. The techniques can at times be used to provide a service to customers in which logs containing data about interaction events related to that customer (e.g., usage events for a provided service or of a provided Website) are received or obtained, in which frequent sequences in the log data are identified, and in which reports are provided to representatives of the customer about the frequent sequences (e.g., remotely over the Web based on interactive specifications).
REFERENCES:
patent: 6667751 (2003-12-01), Wynn et al.
patent: 2004/0133551 (2004-07-01), Linstedt
Rakesh Agrawal and Ramakrishnan Srikant, “Fast Algorithms for Mining Association Rules,” Proceedings of the 20thVLDB Conference, Santiago, Chile, 1994.
Rakesh Agrawal et al., “Fast Discovery of Association Rules,” Advances in Knowledge Discovery and Data Mining, 1996.
Ashok Savasere et al., “An Efficient Algorithm for Mining Association Rules in Large Databases,” VLDB '95, Proceedings of the 21stInternational Conference on Very Large Data Bases, Zurich, Switzerland, Sep. 11-15, 1995.
Rakesh Agrawal, “Mining Association Rules Between Sets of Items in Large Databases,” Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, SIGMOD '93, Washington, DC, May 26-28, 1993.
Heikki Mannila et al., “Discovery of Frequent Episodes in Event Sequences,” Feb. 1997.
Rakesh Agrawal and Ramakrishnan Srikant, “Mining Sequential Patterns,” Eleventh International Conference on Data Engineering, Mar. 6-10, 1995, Taipei, Taiwan.
Fayyad Usama
Rothleder Neal
Yang Cheng
Ali Mohammad
Revenue Science, Inc.
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