Data Mining Applications in Business

These flashcards cover key vocabulary and concepts related to Data Mining Applications in the context of business data mining.

Data Mining

The process of discovering patterns and knowledge from large amounts of data.

Customer Segmentation

The process of dividing customers into groups based on common characteristics, often used in targeted marketing.

Churn

The rate at which customers stop doing business with an entity.

Acquisition

The process of attracting prospects and converting them into customers.

Cross-Selling

Offering additional products or services to an existing customer.

Up-Selling

Encouraging customers to purchase a higher-end product than the one they initially intended to buy.

Recommendation Program

A system that suggests products to consumers based on their past purchases and preferences.

Association Rules

Rules that imply a relationship between products in a market basket analysis.

Healthcare Data Mining

The application of data mining techniques to healthcare data to improve quality of care and predict patient outcomes.

Fraud Detection

The process of identifying and preventing fraudulent activities using data analytics.

Customer Relationship Management (CRM)

Strategies and technologies used by companies to manage interactions with current and potential customers.

Decision Trees

A decision support tool that uses a tree-like model of decisions and their possible consequences.

Clustering

A technique of grouping a set of objects in such a way that objects in the same group are more similar than those in other groups.

Retention

The ability of a company to retain customers over time.

Hyperparallel Data Mining

An advanced technique that utilizes multiple computational processes to analyze large datasets.

Smart Cities

Urban areas that use various types of electronic data collection to manage assets and resources efficiently.

Behavioral Segmentation

Dividing a market based on observed consumer behavior.

Market Basket Analysis

A data mining technique used to understand the purchase behavior of customers by analyzing data on their shopping carts.

Predictive Analytics

The branch of advanced analytics that uses both new and historical data to forecast future events.

Customer Data Warehouse

A centralized repository of customer information that can be analyzed to improve business decisions.

Big Data

Extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations.