Data Mining Nostos Quiz Question and Answers
Collective outlier significantly deviates from the entire dataset.
- True
- False
__________ step of classification contributes to the construction of learning model.
- Learning Step
- Classification Step
__________ term portrays the process of discovering small pieces from a large volume of raw material.
- Data Cleaning
- Mining
- Data
Classification predicts the value of __________ variable.
- Categorical
- Continuous
Which of the following helps in measuring the dispersion range of the data?
- Variance
- Interquartile range
- Standard Deviation
- Range
- All the options
- None of the options
Identify the algorithm that works based on the concept of clustering.
- SVM
- Decision Tree
- K-Means
__________ stage of data science process helps in exploring and determining the patterns from the data.
- Exploratory Data Analysis
- Data Gathering
- Data Cleaning
- Data Description
Jacard Index distance measure is used on __________.
- Numeric dataset
- Non-numeric dataset
Regression can be used in predicting/forecasting Applications.
- False
- True
__________ step of KDD process helps in identifying valuable patterns.
- Knowledge Presentation
- Pattern Evaluation
- Data Mining
__________ parameter of regression helps in identifying the direction of relationship between variables.
- Measure of Discrepancy
- Regression Coefficient
Clustering process works on _________ measure.
- Confidence
- Support
- Probability
- Distance
- Lift
__________statistics provides the summary statistics of the data.
- Inferential
- Descriptive
Identify the algorithm that works based on the concept of classification.
- SVM
- Decision Tree
- Random Forest
- All the options
- None of the options
__________association measure compares the confidence with the expected confidence.
- Confidence
- Lift
- Support
Inferential statistics is used in __________ datasets.
- Population
- Sample
- All the Options (ans)
__________ stage of data science process helps in converting raw data into a machine-readable format.
- Exploratory Data Analysis
- Data Cleaning
- Data Gathering
- Data Description
The science of collecting, interpreting, and analyzing data is known as __________.
- Statistics
- Data Description
- Data Collection
- Probability
__________ aids in identifying associations, correlations, and frequent patterns in data.
- Clustering
- Classification
- Association Rule Mining
Descriptive statistics is used in __________ datasets.
- Sample
- Population
In Association Rules, the Antecedent and Consequent form a disjoint set.
- True
- False
__________ outlier significantly deviates based on the context selected.
- None of the options
- Collective Outlier
- Global Outlier
- Contextual Outlier
Identify the application of the Outlier Detection Method.
- Intrusion Detection (ans)
- Market-Based Analysis
- Prediction/Forecasting
- All the options
Distance measure(s) used in clustering process of Numeric Dataset is/are __________.
- Manhattan Distance
- Minkowski
- Hamming
- All the options
Classification is a __________ task.
- Data Cleaning
- Data Integration
- Data Analysis
- Data Transformation
Identify the Unsupervised Learning method.
- Clustering
- Classification
- Association Rule Mining
Which of the following helps in measuring the central tendency of the dataset?
- Median
- Mode
- Mean
- All the options
Which of the following association measure helps in identifying how frequently the item appears in a dataset?
- Confidence
- Lift
- Support
Which among the following is/are (an) Ensemble Classifier?
- Bagging
- Boosting
- Random Forest
- All the options
Derived relationships in Association Rule Mining are represented in the form of __________.
- Rules
- Decision Tree
- Charts
- All the options
View More Quiz Questions and Answer
👉MFDM AI Quiz