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)
Dużo cierpliwości
Mateusz - WestWind Energy Polska Sp. z o.o.
Course - ArcGIS for Spatial Analysis
The trainer adapted the materials and contents to what he thought would be best for us and he succeeded. The quality of the training was excellent.
Jorge Sanchez Hernandez - CSMART - Carnival
Course - QGIS for Geographic Information System
Profesional dan sangat praktis, berguna dalam pekerjaan sehari-hari
Jozefin Rékasi - SC Automobile Dacia SA
Course - Advanced Data Analysis with TIBCO Spotfire
Machine Translated
Ini mencakup bidang yang saya katakan saya minati sebelum kursus: hubungan data, menggunakan skrip python. Menghubungkan ke database akan dibahas dalam modul lanjutan.
Cristian Tudose - SC Automobile Dacia SA
Course - Introduction to Spotfire
Machine Translated
I genuinely enjoyed the lots of labs and practices.