Language Data Analysis Mining (13 results)

paperback. Condition: New. Paperback. Pub Date: 2024-01 Pages: 268 Publisher: China Machinery Press This book first introduces the relevant knowledge of R language. including the basics of R language and R language visualization technology. Then the book introduces in detail the important theoretical methods and basic knowledge in data mining and data analysis. including linear regression. logistic regression. decision tree and regression tree. random forest. Bayesian classifier. etc. and shows how to use R language i.

paperback. Condition: New. Paperback. Pub Date: 2020-06-01 Pages: 124 Language: Chinese Publisher: China University of Mining and Technology Press Preliminary Data Analysis: Based on R Language/Linyi Mining Group Big Data Analysis Series According to the actual application requirements of data analysis. through the The basic methods are sorted out and explained. and common data analysis methods are explained in accordance with the frequency of use and application range. accompanied by corresponding sample questions. an.

paperback. Condition: New. Paperback. Pub Date :2012-09-01 Publisher: China Statistics Press 978-7-5037-6620-6.

paperback. Condition: New. Paperback. Pub Date: 2021-07-01 Pages: 200 Language: Chinese Publisher: Electronic Industry Press. This book starts with an introduction to the R language and the basis of data mining. and aims to give readers an understanding of the tools and data mining methods used.?The subsequent chapters use actual cases (data mining website user behavior analysis and web page intelligent recommendation. life service review website customer grouping. water-cooled central air-conditioning system optimizat.

paperback. Condition: New. Paperback. Pub Date: 2019-07-01 Pages: 364 Publisher: China Railway Publishing House book from using the R language. introduced in key R programming language based on operation. visualization. statistical. high performance computing and machine learning at the same time focus on practical ability and comprehensive data analysis and mining to improve quality. The book is divided into basic statistical analysis and machine learning real .

paperback. Condition: New. Paperback. Pub Date: 2015-10-01 Pages: 325 Publisher: Machinery Industry Press This is a systematic. practice-oriented R data mining and analysis of practical guidelines. a number of technical experts combine their 10 years of experience to electric power. aerospace. medical. Internet. and other manufacturing industries 10 actual cases as the main line. in layman's language to explain how to use the R language and related technologies for data mining modeling. data analysis and secondary deve.

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2017-05-01 Pages: $number Publisher: Machinery Industry Press This book will address some of the topics of data mining. such as mathematical presentation. implementation in software. and how to solve business problems accordingly. The purpose of this book is to enable readers to learn from data management techniques. exploratory data analysis. data visualization. and so on. until the establishment of high .

paperback. Condition: New. Paperback. Pub Date: 2018-09-01 Pages: 273 Publisher: Tsinghua University Press This book is divided into 14 chapters. The main contents are R language introduction. data reading and writing methods. conditional judgment. loop and other process control. Custom functions. advanced drawing. low-level drawing. description of interactive drawing. decision tree. support vector machine. introduction of artificial neural network. basic.

paperback. Condition: New. Paperback. Pub Date: 2019-06-01 Pages: 264 Publisher: China Railway Press This book introduces the technology uses the R language for data analysis and mining. the use of Deep framework: Introduction begins at the beginning of the R language the basic operation. and then introduce regression analysis. variance analysis and other data analysis to better explore the internal data .

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2016-10-01 Pages: 266 Publisher: mechanical industry press From vast amounts of data collection. analysis. to extract valuable information needs. powerful analytical tools. book combining with R software are introduced in detail and practical methods of data mining and data analysis. the main content including process information and access to data. the standard linear regression. local polynomial back.

paperback. Condition: New. Paperback. Pub Date: 2016-03-01 Pages: 424 Language: Chinese Publisher: Electronic Industry Press This book is an excellent primer R language to help readers quickly build relevant knowledge and data analysis system. and learn how to use the R software for data analysis. Regardless of whether the programming foundation or mathematical basis. this book can help readers grow into a qualified data analysts. This book describes the various data analysis algorithm derived from statistical analysis.

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2017-07-01 Pages: $number Publisher: Machinery Industry Press This is a practical work that explains how to use results data to guide business decisions in a dual dimension from big Data technology and game business. a senior data analyst at le-Tease games. It is his summary of data mining and analysis experience in recent 10 years. Traditional data analysis books heavy technology and light .

paperback. Condition: New. Paperback.Pub Date:2020-11-01 Pages:416 Publisher: Tsinghua University Press This book introduces the application of R language in data analysis and mining step by step. covering the conventional processes of data analysis and mining. such as data preprocessing (cleaning . Integration and operation. etc.). data visualization (drawing posture of discrete and continuous data). data modeling (application of top ten data mining models). etc.?The book is divided into 15 chapters: Chapter 1 introdu.