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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

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

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

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

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

Classification Prediction

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

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

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

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

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

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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