Tutorial

Knowledge Management Tutorials

Knowledge Management Tutorials .It is an activity practised by enterprises all over the world. In the process of knowledge management, these enterprises comprehensively gather information using many methods and tools.

FAQ

Most frequent questions and answers

Knowledge management is the process by which an enterprise gathers, organizes, shares and analyzes its knowledge in a way that is easily accessible to employees. This knowledge includes technical resources, frequently asked questions, training documents and people skills.

The best four components of knowledge management are people, process, content/IT, and strategy. Regardless of the industry, size, or knowledge needs of your organization, you always need people to lead, sponsor, and support knowledge sharing. You need defined processes to manage and measure knowledge flows

KDD refers to the overall process of discovering useful knowledge from data, and data mining refers to a particular step in this process. Data mining is the application of specific algorithms for extracting patterns from data.

The main objective of the KDD process is to extract information from data in the context of large databases. It does this by using Data Mining algorithms to identify what is deemed knowledge. The Knowledge Discovery in Databases is considered as a programmed, exploratory analysis and modeling of vast data repositories.

Data mining has several types, including pictorial data mining, text mining, social media mining, web mining, and audio and video mining amongst others.

The functionality of data mining is listed below

1.Class/Concept Description

2.Classification.

3.Prediction.

4.Association Analysis.

5.Cluster Analysis.

6.Outlier Analysis.

7.Evolution & Deviation Analysis

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