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2. Data Mining
Relational Databases
Data Warehouses
Transactional Databases
Data Mining Functionalities
Mining Frequent Patterns, Associations, and
Correlations
Cluster Analysis
Outlier Analysis
Evolution Analysis
Classification of Data Mining Systems
3. Preprocess the Data
Measuring the Central Tendency
Measuring the Dispersion of Data
Data Cleaning
Missing Values
Data Integration and Transformation
Data Integration
Data Transformation
Data Reduction
Data Cube Aggregation
Dimensionality Reduction
Numerosity Reduction
4. Data Warehouse
A Multidimensional Data Model
Data Warehouse Architecture
Data Warehouse Back-End Tools and
Utilities
Types of OLAP Servers
Data Warehouse Implementation
Indexing OLAP Data
Data Warehouse Usage
5. Efficient Methods for Data Cube Computation
Multiway Array Aggregation for Full Cube
Computation
Precomputing Shell Fragments for Fast High-
Dimensional OLAP
Computing Cubes with Complex Iceberg
Conditions
Discovery-Driven Exploration of Data Cubes
Complex Aggregation at Multiple Granularity
Constrained Gradient Analysis in Data Cubes
Attribute-Oriented Induction
Presentation of the Derived Generalization
Mining Class Comparisons
6. Market Basket Analysis
The Apriori Algorithm
Mining Frequent Itemsets without Candidate
Generation
Mining Frequent Itemsets Using Vertical Data
Format
Mining Closed Frequent Itemsets
Mining Various Kinds of Association Rules
Mining Multilevel Association Rules
Mining Multidimensional Association Rules from
Relational Databases and Data Warehouses
Constraint-Based Association Mining
8. Cluster Analysis
Types of Data in Cluster Analysis
A Categorization of Major Clustering Methods
Constraint-Based Cluster Analysis
Clustering with Obstacle Objects
User-Constrained Cluster Analysis
Semi-Supervised Cluster Analysis
Outlier Analysis
Statistical Distribution-Based Outlier Detection
Distance-Based Outlier Detection
Density-Based Local Outlier Detection
Deviation-Based Outlier Detection
9. Mining Data Streams
Methodologies for Stream Data Processing and
Stream Data Systems
Stream OLAP and Stream Data Cubes
Frequent-Pattern Mining in Data Streams
Classification of Dynamic Data Streams
Mining Time-Series Data
Sequential Pattern Mining
Scalable Methods for Mining Sequential Patterns
Constraint-Based Mining of Sequential Patterns
Periodicity Analysis for Time-Related Sequence
Data
10. Graph Mining
Methods for Mining Frequent Subgraphs
Social Network Analysis
Social Network
Characteristics of Social Networks
Link Mining: Tasks and Challenges
ILP Approach to Multirelational Classification
Tuple ID Propagation
Multirelational Classification
Multirelational Clustering
11. Multidimensional Analysis and Descriptive
Mining of Complex Data Objects
Generalization of Structured Data
Aggregation and Approximation in Spatial and
Multimedia Data Generalization
Construction and Mining of Object Cubes
Generalization-Based Mining of Plan Databases
by Divide-and-Conquer
Spatial Data Mining atial Data Cube Construction
and Spatial OLAP
Mining Spatial Association and Co-location
Patterns
12. Spatial Classification and Spatial Trend Analysis
Multimedia Data Mining
Classification and Prediction Analysis of
Multimedia Data
Audio and Video Data Mining
Text Mining
Mining the World Wide Web
Mining the Web Page Layout Structure
Mining Multimedia Data on the Web
Web Usage Mining
13. Data Mining for Financial Data Analysis Data
Mining for the Retail Industry
Data Mining for the Telecommunication Industry
Data Mining for Biological Data Analysis
Data Mining in Other Scientific Applications
Data Mining for Intrusion Detection
Theoretical Foundations of Data Mining
Statistical Data Mining
Visual and Audio Data Mining
Trends in Data Mining
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