Press Releases 2006

CONTACT: Mary Planding
Director, Marketing & Communications
(831) 479-5744
mary.planding [at] cabrillo.edu

November 13 , 2006

Data Mining Class Reveals a Wealth of Information

 APTOS, CA- Cabrillo College is once again offering its popular class, Data Mining, taught by former Cabrillo College Planning and Research Director, Dr. Jing Luan, who is now Vice Chancellor of Education Services and Planning at the San Mateo Community College District.

The course will be taught seminar style over two days, Thursday, December 7 and Friday, December 8, from 9:30 a.m. to 2:40 p.m., at the Cabrillo College Watsonville Center, 318 Union Street, in Room 4106. Participants will earn .5 units of college credit. The total cost of the class is $48 (for California residents), which includes the textbook.

Data mining techniques are used to improve a business' bottom line whether that business’ focus is finance, criminology, medical research, social science, political science, biology, and computing applications. Using data mining techniques gives businesses a competitive edge.

Geared at businesses that have a data warehouse, or conduct surveys, or look for new ways of analyzing data, data mining provides the tools needed to extract and analyze data. Data mining has been used successfully in such activities as fraud detection, understanding customer churn rate, student retention, fund raising, customer segmentation, and productivity analysis.

Participants will get hands-on experience extracting data from a transactional data warehouse, preparing data into an analytical file format, conducting data audit visualization, using Two Step, K-means clustering nodes, Neural Net and C&RT predictive modeling nodes.

The lecture portion of the class includes: comparison between traditional statistics and data mining, concepts in segmentation, potential use of data mining techniques in different industries, use of Decision Trees, Neural Networks, Tiered Knowledge Management Model (TKMM.)

This hands-on course offering is limited to 18 students. To enroll in this class, go to:  www.cabrillo.edu and click on “Apply and Register”.