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Lize on your phone bill? Gazed at the sky and wondered if that bright star is a white dwarf? Data mining has the answers!!! CS 235: Introduction to Databases Svetlozar Nestorov Lecture Notes #15 CS 235: Introduction to Databases What is Data Mining? 2 Data Mining Needs Databases Finding interesting patterns in large amounts of data. Data mining encompasses several areas: Machine learning and statistics often make the following assumptions: small amount of data (or sample) d.

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The database management system can be divided into four major components, they are DATA, User, Hardware and Software.

The network Model, entity-relationship Model, hierarchical Model, object-oriented Model, and object Model are some of the different types of Database Models.

A data warehouse is a type of data management system that is designed to enable and support business intelligence (BI) activities, especially analytics. Data warehouses are solely intended to perform queries and analysis and often contain large amounts of historical data.

There are multiple types of database systems, such as relational database management systems, object databases, graph databases, network databases, and document db.

A database is any collection of data organized for storage, accessibility, and retrieval. A data warehouse is a type of database the integrates copies of transaction data from disparate source systems and provisions them for analytical use.

Databases are widely divided into two major types or categories, namely, Relational or Sequence Databases and Non-relational or Non-sequence databases or No SQL databases.

How Many Types of Databases Are There? Hierarchical Databases. Developed in the 1960s, the hierarchical database looks similar to a family tree. ... Relational Databases. Relational databases are a system designed in the 1970s. ... Non-Relational Databases. ... Object oriented databases.

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