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Questions and Answers
What is the main objective of data integration in a data warehouse?
What is the process of removing duplicate records called?
What is the main goal of data mining?
What is KDD an abbreviation for?
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What is the purpose of data selection in data mining?
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What is a data warehouse?
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What is data transformation used for in data mining?
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What is operational data used for?
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What type of learning technique is used when a system explores data without any prior knowledge?
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Which clustering method is suitable for mixed numeric and nominal values?
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What is the purpose of the linkage method in Agglomerative Clustering?
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What is the output of the K-Medoids algorithm?
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What is the primary difference between K-Means and K-Medoids?
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What is the name of the clustering method that is robust to outliers?
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What is the main advantage of Hierarchical Clustering?
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Which library is used to import the AgglomerativeClustering class?
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What is the primary goal of data mining?
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Which data mining method involves grouping data objects into a hierarchy or 'tree' of clusters?
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What is the primary characteristic of unsupervised learning in data mining?
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What is the primary advantage of using hierarchical clustering for data exploration?
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What is the term for the process of extracting models describing important data classes?
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What is the primary difference between agglomerative and divisive hierarchical clustering algorithms?
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How many styles of hierarchical clustering algorithms are there to build a tree from the input set S?
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What is the term for the method that considers the distance between one cluster and another cluster to be equal to the shortest distance from any member of one cluster to any member of the other cluster?
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Study Notes
Data and Information
- Data refers to any facts, numbers, or text that can be processed by a computer.
- Information is the awareness of data brought into relation to form knowledge in a wider sense.
Types of Databases
- Operational databases are owned by particular departments or business groups, such as sales or cost.
- Informational databases are used for data analysis and reporting.
Data Mining
- Data mining is the search for relationships and global patterns that exist in large databases.
- It involves transforming data into appropriate form for data mining through data cleaning, data integration, and data transformation.
- Data selection is used to retrieve relevant data for analysis.
Knowledge Discovery in Database (KDD)
- KDD stands for Knowledge Discovery in Database.
- It is the process of identifying valid, useful, and understandable patterns in data.
Data Warehousing
- A data warehouse is a single, complete, and consistent store of data obtained from a variety of different sources.
- Data integration is the process of combining multiple sources of data into a single, unified view.
Data Concepts
- A fact is a simple statement of truth.
- A principle is a general truth or law that is basic to other truths.
- A procedure is a step-by-step action to achieve a goal.
Data Mining Methods
- Supervised learning is a method that builds models from data with predefined classes.
- Unsupervised learning is a method that builds models from data without predefined classes.
- Clustering is a form of data analysis that extracts models describing important data classes.
Clustering
- Hierarchical clustering is a method that works by grouping data objects into a hierarchy or “tree” of clusters.
- Agglomerative clustering is a type of hierarchical clustering that starts with each object as its own cluster and merges them based on similarity.
- Divisive clustering is a type of hierarchical clustering that starts with all objects in a single cluster and splits them based on similarity.
K-Means and K-Medoids
- K-means is a partitioning method that assigns each object to the cluster with the closest centroid.
- K-medoids is a type of k-means clustering that uses medoids (objects that are representative of their cluster) instead of centroids (the mean of the cluster).
Fuzzy Logic
- Fuzzy logic is a many-valued logic system that allows for degrees of truth rather than simple true or false values.
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