Data Mining Essentials 2 - Clustering, Market Basket Analysis & Text Mining
Detail
| Date: |
14 Sep 2012 |
| Duration: |
1, day(s) 9:00AM - 5:00PM |
| Fee: | $420.00 |
| Venue: | 51 Anson Road, #03-53 Anson Centre Singapore 079904
|
Fees are subjected to prevailing GST of 7%
For more information, please contact JobsDB Learning at 65788111 or email to learning@jobsdb.com.sg
Payment must be made before the commencement of the workshop. No cancellation is allowed 7 days prior to workshop.
Outline
Introduction to Data Mining
· Motivation: Why data mining
· Definition: What is data mining
· Data Mining Process
· Examples of Data Mining Applications
Fundamentals of Data Mining Techniques
· Introduction on Various Data Mining Techniques and Demos
o Classification/Prediction
o Clustering
o Association
· Data Preparation
o Why data preparation Data integration
o Data cleansing Data normalization
o Data reduction Data discretization
· What Is Predictive Modeling?
· Salient Modeling Issues
· Modeling Techniques: Decision Tree
· Modeling Techniques: Naive Bayes
· Modeling Techniques: Logistic Regression
· Modeling Techniques: Support Vector Machine
· Comparison of Modelling Techniques
· Example Applications of Predictive Modeling
· Live demonstrations of Predictive Model
Facilitators
Raymond Au has more than 20 years of industry experience in the area of IT consulting, Data Mining and Business Intelligence.
Raymond has worked in many MNCs in regional roles to provide solutions to customers across various vertical industries like Retail,
Government, Telco, FSI and Manufacturing. Specifically in the area of Sales & Marketing, Raymond has implemented analytics to
assist customers improve their campaign response, identify up-sell and cross-sell opportunities and also using text mining to analyse
and improve customer services in call centers and other channel feedbacks
Who Should Attend
Marketers, Customer service managers, Sales managers, Analysts, Operations managers, Business Owners, Key executives, Sales
operations, Heads of departments or any Decision-makers responsible for business analysis and marketing success should attend
this essential workshop on data mining. You will be armed with the data mining knowledge which will enhance the competitive
advantage of your company.
Objectives
· Understand the concepts and process of data mining
· Learn the various applications of data mining
· See live demonstrations of various data mining techniques, including classification, prediction, clustering and association
· Learn the data preparation process
· Learn the nuances of data mining and how to seek out profitable data mining projects
· Understand the concepts and workings of predictive analysis
· Learn various classification/prediction algorithms, including Decision Tree, Naive Bayes, Logistic Regression and Support Vector
Machines
· Understand how to compare the predictive models from different algorithms
· Understand how to create predictive scores for new records using the predictive models