Knowledge Discovery in Databases (KDD) Training Course

Course Code

kdd

Duration

21 hours (usually 3 days including breaks)

Requirements

An general understanding of databases

Overview

Knowledge discovery in databases (KDD) is the process of discovering useful knowledge from a collection of data. Real-life applications for this data mining technique include marketing, fraud detection, telecommunication and manufacturing.

In this course, we introduce the processes involved in KDD and carry out a series of exercises to practice the implementation of those processes.

Audience
    Data analysts or anyone interested in learning how to interpret data to solve problems

Format of the course
    After a theoretical discussion of KDD, the instructor will present real-life cases which call for the application of KDD to solve a problem. Participants will prepare, select and cleanse sample data sets and use their prior knowledge about the data to propose solutions based on the results of their observations.

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

Testimonials

★★★★★
★★★★★

Bookings, Prices and Enquiries

Guaranteed to run even with a single delegate!

Private Classroom

From £3750

Private Remote

From £3300 (100)

Public Classroom

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