Visualization and Prediction of Film Award Nominations by Using of Visual Data Mining (VDM) and Exploratory Data Analysis (EDA) Method

2019 ◽  
Author(s):  
Rayhanali Heiko Amier ◽  
Johan Setiawan
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Exploratory Data Analysis ◽  
Visual Data ◽  
Visual Data Mining ◽  
Exploratory Data

scholarly journals Data Mining and Exploratory Data Analysis for the Evaluation of Job Satisfaction

iBusiness ◽  
2011 ◽  
Vol 03 (04) ◽  
pp. 372-382
Author(s):  
Rosaria Lombardo ◽  
Ermelinda Della Valle
Keyword(s):  
Data Mining ◽  
Job Satisfaction ◽  
Data Analysis ◽  
Exploratory Data Analysis ◽  
Exploratory Data

Exploratory Data Analysis

2018 ◽  
Author(s):  
Brian D. Haig
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Statistical Modeling ◽  
Scientific Method ◽  
Exploratory Data Analysis ◽  
Resampling Methods ◽  
Data Mining Techniques ◽  
Exploratory Data ◽  
Data Analytic

Chapter 2 is concerned with modern data analysis. It focuses primarily on the nature, role, and importance of exploratory data analysis, although it gives some attention to computer-intensive resampling methods. Exploratory data analysis is a process in which data are examined to reveal potential patterns of interest. However, the use of traditional confirmatory methods in data analysis remains the dominant practice. Different perspectives on data analysis, as they are shaped by four different accounts of scientific method, are provided. A brief discussion of John Tukey’s philosophy of teaching data analysis is presented. The chapter does not consider the more recent exploratory data analytic developments, such as the practice of statistical modeling, the employment of data-mining techniques, and more flexible resampling methods.

Measuring the Effects of Data Mining on Inference

2015 ◽  
pp. 1825-1833 ◽  
Author(s):  
Tom Burr ◽  
S. Tobin
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Data Collection ◽  
Data Model ◽  
Exploratory Data Analysis ◽  
Model Parameters ◽  
Statistical Procedures ◽  
Model Predictions ◽  
Future Data ◽  
Exploratory Data

Data mining is a term used to describe various types of exploratory data analysis whose purposes are to select data models, estimate model parameters, and generate hypotheses that can be tested on future data. It is known that model predictions are overly optimistic when generated from the same data that are used to select a model and estimate its parameters. Therefore, most statistical procedures assume that the data model is selected prior to data collection. Alternatively, to adjust for data mining, we describe steps that should be taken to account for “choosing the best” among many candidate models.

scholarly journals Visual Data Mining With Self-organizing Maps for “Self-monitoring” Data Analysis

2016 ◽  
Vol 47 (3) ◽  
pp. 492-506 ◽  
Author(s):  
Elia Oliver ◽  
Iván Vallés-Ṕerez ◽  
Rosa-María Baños ◽  
Ausias Cebolla ◽  
Cristina Botella ◽  
...  
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Monitoring Data ◽  
Visual Data ◽  
Visual Data Mining ◽  
Self Organizing Maps ◽  
Self Monitoring ◽  
Self Organizing
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