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CSc 4740/6740 Data Mining Tentative Lecture Notes |Lecture for Chapter 1 Introduction |Lecture for Chapter 2 Getting to Know Your Data |Lecture for Chapter 3 Data Preprocessing

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Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustration More Info Data mining (lecture 1 & 2) conecpts and techniques

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Learn in-depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for data-driven phrase mining and some interesting applications of pattern discovery. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation ...

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The Course will cover the following materials: Knowledge discovery fundamentals, data mining concepts and functions, data pre-processing, data reduction, mining association rules in large databases, classification and prediction techniques, clustering analysis algorithms, data visualization, mining complex types of data (t ext mining ...

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Data Mining: Concepts and T ec hniques Jia w ei Han and Mic heline Kam ber Simon F raser Univ ersit y Note: This man uscript is based on a forthcoming b o ok b y Jia

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· Jialu Liu, Jingbo Shang and Jiawei Han, Phrase Mining from Massive Text and Its Applications, Morgan & Claypool Publishers, 2017 (Series: Synthesis Lectures on Data Mining and Knowledge Discovery) · Chi Wang and Jiawei Han, Mining Latent E n tity Structures, Morgan & Claypool Publishers, 2015 (Series: Synthesis Lectures on Data Mining and Knowledge Discovery)

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Data Mining: Concepts and Techniques (Third Edition) is a comprehensive data mining resource offering 13 chapters on the concepts and techniques used in the data mining process. The data mining eBook focuses on data mining and the tools used in discovering knowledge from the data …

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Data Mining Concepts And Techniques Video Lectures

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