02
1.3: Uses and Abuses of Statistics Objective: To identify common errors and misuses of statistics CHS Statistics.
CS490D: Introduction to Data Mining Chris Clifton January 23, 2004 Data Preparation.
Chapter 4 Data Preprocessing To make data more suitable for data mining. To improve the data mining analysis with respect to time, cost and quality.
Data Cleaning and Transformation Helena Galhardas DEI IST (based on the slides: “A Survey of Data Quality Issues in Cooperative Information Systems”,
Danny Oppenheimer Kirsten Thorpe. Any modality of communication between persons or groups. Materials that hold data in any form or that allow data to.
CHAPTER 01 Teminology
September 5, 2015Data Mining: Concepts and Techniques1 Chapter 2: Data Preprocessing Why preprocess the data? Descriptive data summarization Data cleaning.
September 5, 2015Data Mining: Concepts and Techniques1 Data Mining: Concepts and Techniques — Chapter 2 —
1 Data Mining: Data Preprocessing. 2 Data Preprocessing Why preprocess the data? Descriptive data summarization Data cleaning Data integration and transformation.
CS685: Special Topics in Data Mining Jinze Liu September 9, 20151.
September 23, 2015Data Mining: Concepts and Techniques1 Jianlin Cheng Department of Computer Science University of Missouri, Columbia Adapted from ©2006.
