Togaware DATA MINING
Desktop Survival Guide
by Graham Williams
Google

Summary

Usage: Market basket analysis, customer relationship management.
Input: Transactional data consisting of items whose co-occurrence within a transaction is of interest.
Output: Association rules identifying relationships between items within each transaction.
Complexity: Adversely affected as the support threshold decreases, particularly for large datasets. Exponential.
Availability: Freely available as part of the Borgelt Suite (See Chapter 48) and integrated within R as part of the arules package (See Chapter 50). Most commercial data mining toolkits include an implementation of apriori. Examples include SPSS (See Chapter 54), SAS Enterprise Miner (See Chapter 59), and Statistica (See Chapter 60).



Copyright © Togaware Pty Ltd
Support further development through the purchase of the PDF version of the book.
The PDF version is a formatted comprehensive draft book (with over 800 pages).
Brought to you by Togaware. This page generated: Sunday, 22 August 2010