Data mining introduction

  • Data mining techniques

    The process of data mining typically begins with defining the problem or question that you want to answer with your data.
    This involves understanding the business context and goals and identifying the data that is relevant to the problem.
    Next, the data is prepared for analysis..

  • What is data mining and what are its uses?

    Data mining is used to explore increasingly large databases and to improve market segmentation.
    By analysing the relationships between parameters such as customer age, gender, tastes, etc., it is possible to guess their behaviour in order to direct personalised loyalty campaigns..

  • What is data mining introduction?

    Data mining is most commonly defined as the process of using computers and automation to search large sets of data for patterns and trends, turning those findings into business insights and predictions..

  • What is the key concept of data mining?

    Data mining is the process of discovering actionable information from large sets of data.
    Data mining uses mathematical analysis to derive patterns and trends that exist in data..

  • What is the starting point of data mining?

    The process of data mining typically begins with defining the problem or question that you want to answer with your data.
    This involves understanding the business context and goals and identifying the data that is relevant to the problem.
    Next, the data is prepared for analysis..

  • Who introduced data mining?

    Gregory Piatetsky-Shapiro coined the term "knowledge discovery in databases" for the first workshop on the same topic (KDD-1989) and this term became more popular in the AI and machine learning communities.
    However, the term data mining became more popular in the business and press communities..

Apr 17, 2023It involves using various techniques from statistics, machine learning, and database systems to identify patterns, relationships, and trends in 
Data mining is the process of using statistical methods to uncover patterns and insights within large datasets. Typically, the datasets used for data mining are so large that it would take days, weeks, or months for humans to read or analyze.

How to introduce a data mining plan?

In this introduction to data mining, we will understand every aspect of the business objectives and needs

The current situation is assessed by finding the resources, assumptions, and other important factors

Accordingly, establishing a good introduction to a data mining plan to achieve both business and data mining goals

2 Data Understanding

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