Course Outline
Introduction
- KDD vs data mining
Establishing the application domain
Establishing relevant prior knowledge
Understanding the goal of the investigation
Creating a target data set
Data cleaning and preprocessing
Data reduction and projection
Choosing the data mining task
Choosing the data mining algorithms
Interpreting the mined patterns
Summary and conclusion
Requirements
- A general understanding of databases.
Testimonials (5)
All the topics which he covered including examples. And also explained how they are helpful in our daily job.
madduri madduri - Boskalis Singapore Pte Ltd
Course - QGIS for Geographic Information System
Actual application of spotfire and all basic functions.
Michael Capili - STMicroelectronics, Inc.
Course - Introduction to Spotfire
The thing I liked the most about the training was the organization and the location
Hamid Tuama - Ability with Innovation General Contracting (DMCC Branch)
Course - ArcGIS for Spatial Analysis
La voluntad por parte del locutor a explicar y que uno entendiera todo.
Jorge Andres Silva Cisternas - Industria De Conjuntos Mecanicos Aconcag
Course - Advanced Analytics with TIBCO Spotfire
I genuinely enjoyed the lots of labs and practices.