Events

Technology Infusion Programme: Data Mining Techniques for Manufacturing Applications

Date: 25 Aug 2009 - 22 Sep 2009

Venue: SIMTech Training Rooms, Tower Block, Level 3

Introduction
Data mining is the process of running data through sophisticated algorithms to uncover meaningful patterns and correlations that may otherwise be hidden. These can be used to help analyse production or process performance better and further exploited to improve future performance through predictive analytics. To help participants understand and exploit data mining, this short course is specially designed for manufacturing data analysis with hands-on session to apply data mining techniques such as clustering and neural networks to develop reference models for process or equipment performance analysis. Real-life case studies in data warehousing, manufacturing process data modelling and knowledge discovery in equipment maintenance will be illustrated.

Course Instructors
·  Dr Li Xiang, Research Scientist, SIMTech
·  Dr Luo Ming, Research Scientist, SIMTech
·  Ms Zhou Junhong, Senior Research Engineer, SIMTech
·  Mr Phua Si Jie, Research Engineer, SIMTech

Course Outline
(Every Tuesday : 25 Aug, 1, 8, 15, 22 September)
Session 1: Overview of Data Mining & Data Warehousing
(topics include data mining functions, application examples, importance of data warehousing, OLAP system, case study of data warehouse, data warehouse to data mining) 

Session 2: Process Data Correlation Modelling
(topics include linear regression modelling, multiple regression modelling, ARMA Modelling, confidence level and error analysis)   

Session 3: Advanced Clustering Methods for Process Data Analysis
(topics include cluster type and objective function, K-means, hierarchical clustering, cluster validation) 

Session 4: Neural Networks for Process Performance Prediction
(topics include backpropagation neural network learning, correlation modelling with the BP neural networks, case studies) 

Session 5: Technology for Categorical Data Mining
(topics include techniques for pattern search from categorical data, examples of pattern identification from catergorical data, hands-on for pattern searching techniques)

Who Should Attend
Production/process managers, engineers & IT support staff from the semiconductor, electronics, precision engineering, automation, aerospace and logistic industries.

Registration
Pre-registration for the course is necessary. Seats are available on a first-come-first-served basis
For a copy of the course brochure, please click here.

Closing Date
24 August 2009

Registration Fee
SMS Member: S$428.00 (inclusive of 7% GST) per participant.
Non SMS Member: S$535.000 (inclusive of 7% GST) per participant.
Fee inclusive of course material, buffet dinner (halal) and refreshments.

Certificates of participation will be issued to participants with at least 75% of attendance.

SIMTech members enjoy 20% discount, terms and conditions apply. (Limited to 2 participants for Category I members, and 4 participants for Category II members). Companies which join SMS now enjoy a complimentary TIP seat. For enquiry on SMS Membership, please contact Devi at Tel: 6793 8388 or email SMS@SIMTech.a-star.edu.sg for more details. 

Enquiries:
For technical enquiries:
Dr Li Xiang, Email: xli@SIMTech.a-star.edu.sg, Tel: 67938264

For general enquiries:
Alice Koh, Email: kohth@SIMTech.a-star.edu.sg, Tel: 67938249