Industrial big data is the general term for related data sets in the industrial field. It is the core of the Industrial Internet and the key to intelligent manufacturing. As one of the core technologies of industrial big data, industrial big data analysis technology is an important foundation and key support for the development of industrial intelligence. To this end, under the guidance of the Industrial Internet Industry Alliance, the Industrial Big Data Ad Hoc Group presided over the compilation of the "Industrial Big Data Analysis Guide." The purpose of this book is to summarize the general industrial big data analysis methods and analysis processes, to identify, abstract, and improve their key commonalities, rather than to elaborate on a specific industry, enterprise or product. This book pays more attention to methodology rather than some specific technologies, so it has broader versatility and relatively universal guiding significance.
【table of Contents】
The book is divided into 9 chapters. Chapter 1 first discusses the concept, particularity and common problems of industrial big data analysis;
Chapter 2 proposes the industrial big data analysis framework, briefly introduces the CRISP-DM model, and discusses the difficulties of model implementation and the guiding ideology of model use; from Chapter 3 to Chapter 8, we will discuss business understanding and data understanding in turn The basic steps of the six CRISP-DM models, data preparation, data modeling, model verification and evaluation, and model deployment are explained in detail, from requirement analysis to target evaluation, from data source to data classification, from data preprocessing to The modeling process, from model verification to deployment problem processing, explained and explained the principles and methods, analysis process, processing methods, and problem elimination in each step; finally, Chapter 9 discusses the analysis of industrial big data The future development is looked forward to.
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