The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of MATHEMATICS AND COMPUTERS IN SIMULATION
Transactions ID Number: 20-767
Full Name: Ioan Daniel Hunyadi
Position: Lecturer
Age: ON
Sex: Male
Address: Dr. Ratiu Street, No. 5-7, Sibiu
Country: ROMANIA
Tel:
Tel prefix:
Fax:
E-mail address: daniel.hunyadi@ulbsibiu.ro
Other E-mails: danyhunyadi@yahoo.com
Title of the Paper: performance algorithms in generating association rules
Authors as they appear in the Paper: Ioan Daniel Hunyadi
Email addresses of all the authors: daniel.hunyadi@yahoo.com
Number of paper pages: 8
Abstract: Having its origin in market basket analysis, the eploration of association rules represents one of the main applications of data mining. In this article we present a performance comparison between Apriori and FP-Growth algorithms in generating association rules. The two algorithms are implemented in Rapid Miner and the result obtain from the data processing are analyzed in SPSS. The database used in the development of processes contains a series of transactions belonging to an online shop
Keywords: Apriori, Association rules, Data mining, Frequent item sets, FP-Growth, Performance comparison
EXTENSION of the file: .doc
Special (Invited) Session: Performance comparison of Apriori and FP-Growth algorithms in generating association rules
Organizer of the Session: 652-302
How Did you learn about congress:
IP ADDRESS: 188.24.216.70
