Introduction to Data Mining Chp.01 Guide Questions with Answers
Data Mining - correct answers Process of automatically discovering useful information in large data
repositories.
KDD - Knowledge Discovery in Databases - correct answers Overall process of converting raw data into
useful information.
KDD - Knowledge Discovery in Databases - Steps - correct answers Data Preprocessing, Data Mining,
Postprocessing
KDD - Step - Data Preprocessing - correct answers Transform raw data into an appropriate format
required by subsequent analysis. Transforms include: fusing data from multiple sources, cleaning data of
duplicate observations and noise.., selecting records/features/attributes that are relivant to the data
mining task at hand.
KDD - Step - Postprocessing - correct answers Presents only valid and useful results to the decision
support system. Applies filtering patterns, Visualization, Pattern Interpretation.
Origins of Data Mining - correct answersAI Machine Learning, Pattern Recognition, Statistics.
Data Mining Tasks - 2 categories - correct answers1. Predictive
2. Descriptive tasks.
Predictive Tasks - correct answers Objective of tasks is to forecast/predict the value of an attribute
(dependent/target variable) from the values of other attributes (independent/explanitory variables).
Descriptive Tasks - correct answersObjectives of tasks is to derive patterns (correlations, trends, clusters,
trajectories, and anomalies) that summarize the underlying relationships in the data.
Predictive Modeling - correct answersTask of building a model for the target variable as a function of its
expanitory variables.
Predictive Modeling - 2 categories - correct answers1. Classification
Data Mining - correct answers Process of automatically discovering useful information in large data
repositories.
KDD - Knowledge Discovery in Databases - correct answers Overall process of converting raw data into
useful information.
KDD - Knowledge Discovery in Databases - Steps - correct answers Data Preprocessing, Data Mining,
Postprocessing
KDD - Step - Data Preprocessing - correct answers Transform raw data into an appropriate format
required by subsequent analysis. Transforms include: fusing data from multiple sources, cleaning data of
duplicate observations and noise.., selecting records/features/attributes that are relivant to the data
mining task at hand.
KDD - Step - Postprocessing - correct answers Presents only valid and useful results to the decision
support system. Applies filtering patterns, Visualization, Pattern Interpretation.
Origins of Data Mining - correct answersAI Machine Learning, Pattern Recognition, Statistics.
Data Mining Tasks - 2 categories - correct answers1. Predictive
2. Descriptive tasks.
Predictive Tasks - correct answers Objective of tasks is to forecast/predict the value of an attribute
(dependent/target variable) from the values of other attributes (independent/explanitory variables).
Descriptive Tasks - correct answersObjectives of tasks is to derive patterns (correlations, trends, clusters,
trajectories, and anomalies) that summarize the underlying relationships in the data.
Predictive Modeling - correct answersTask of building a model for the target variable as a function of its
expanitory variables.
Predictive Modeling - 2 categories - correct answers1. Classification
