Data Mining Concepts Assessment

  • $10.00


This Data Mining Concepts assessment is designed to assess a assessment taker's understanding of general data mining principles. The assessment taker should have an understanding of the different methods and algorithms available for data mining. Topics covered by this assessment include exploratory data analysis and visualization, measurement and distance, text mining, and data mining tasks. This assessment is appropriate for assessment takers that have a year or more experience with data mining.

Number of questions 40
Test format Multiple-Choice
Time to complete Varies by skill
Topics covered Algorithms and Methods
Data Mining Tasks
Exploratory Data Analysis (EDA) and Visualization
Measurement and Distance
Tasks tested Algorithms
Classification
Clustering
Correlation
Data Length
Data Mining
Data Mining Application Objective
Data Reduction
Descriptive and Predictive Modeling
Determining Salary
Determining Variables
Dimension Reduction Strategies
Distance Between Vectors
Ensemble Method Type
Euclidean Distance
Gain Age
Gain Income
Implementation
Interval Level Measurement
Linear Prediction
Measurement Techniques
Measuring Distance
Mining Application Key Consideration
Missing Values
Modeling
Modeling Technique
Moving Average
Multi-dimensional vs. Relational
Nearest Neighbor
Normalization
Performance Improvement
Ratio Measurement
Regression Equation
Relationships
Text Mining
Time Series Forecasting
Tuple
Variable Measured in Numbers
Supported languages ๐Ÿ‡บ๐Ÿ‡ธ English (en_US)