Omid Shakeri, M.Sc
omid.shakeri '@' tmu.ac.ir ; omid.shakeri '@' gmail.com
Data Mining Lab., Computer Engineering Department, Kharazmi University, Karaj/Tehran, Iran

Mir Mohsen Pedram, Ph.D
pedram '@' tmu.ac.ir
Data Mining Lab., Computer Engineering Department, Kharazmi University, Karaj/Tehran, Iran

Data Set Information:

This data set is generated from the original T40I10D100K data set, to mine fuzzy sequential patterns over quantitative streams. While the original T40I10D100K is generated from the synthetic data generator described in a€?R. Agrawal, R. Srikant, Fast algorithms for mining association rules, 20th Intl. Conf. on Very Large Databases (VLDBa€?94), pp. 487-499. 1994a€?.
The data set is a SQL Server 2008 database, which can be attached to a SQL Server Instance to use

Attribute Information:

CustomerID: the ID of the customer who has performed the transaction (randomly generated [1 100])
Time: the time that the transaction has been performed
Transaction: the transaction which has been performed
Quantity: the quantity value of each transaction (randomly generated [1 10])

Relevant Papers:

The papers which use this data set are being reviewed by referees.

Citation Request:

Please refer to the Machine Learning Repository's citation policy