Data Analytics and Big Data by soraya sedkaoui

Author:soraya sedkaoui
Language: eng
Format: epub
Published: 2018-06-19T16:00:00+00:00

5.4.3. Data mining

Before one attempts to extract and acquire useful knowledge from data, it is important to understand the overall approach or the process that leads to finding new knowledge.

The process defines a sequence of steps (with eventual feedback) that should be followed to discover knowledge in data (see the knowledge discovery process). To advance through each step

successfully, we must apply effective data collection, description, analysis and interpretation [PIE 15]. Each step is usually realized with the help of available software tools. Data mining is a particular step in this process – application of specific algorithms for extracting models from data.

The additional steps in the process, such as data preparation, data selection, data cleaning, incorporation of appropriate prior knowledge, and proper interpretation of the results of mining, ensure that useful knowledge is derived from the data.

Data mining and knowledge discovery combines theory and heuristics toward extracting knowledge. To this end, data cleaning, learning and visualization might be also employed.

According to the Gartner Group, this process can be repetitive or interactive depending on the target objectives. We can say that the main task of data mining is using methods to automatically extract useful information from these data and make them available to decision-makers.

Download

Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.