An Introduction to CRISP-DM: The Standard Data Mining Framework
Preface CRISP-DM (Cross-Industry Standard Process for Data Mining) is an extensively espoused frame that provides a structured approach to data mining systems . In this blog post, we will explore the crucial factors of CRISP-DM and its benefits for associations . Understanding CRISP - DM CRISP-DM consists of six major phases: 1. Business Understanding relating design objects and aligning them with business pretensions . 2.Data Understanding Exploring and assessing available data sources for the design . 3.Data Preparation Cleaning, transubstantiating , and preparing data for analysis . 4.Modeling picking and applying applicable data mining ways to develop models . 5.Evaluation Assessing the models ' performance and relating areas for enhancement . 6.Deployment Integrating models into functional systems or decision-making processes . Benefits of CRISP-DM CRISP- DM offers the following benefits: