DM makes DB more efficiently
OLDP
The system database that contains descriptions of the data in the database is called the data dictionary or metadata repository. It stores information about the structure, definition, and organization of data elements within the database to help users and systems work with the data effectively.
The database can be of two types either distributed or centralized . In distributed database the data is in different systems. In centralized database the data is in a single central system.We can categorize database as either distributed or centralized . In centralized database the data is in a single centralized system. While In distributed database the data is in different systems .
Directed data mining involves using predefined goals or objectives to guide the analysis and modeling of data. In contrast, undirected data mining aims to discover patterns or relationships in data without specifying a particular outcome in advance. Directed data mining is typically used for tasks such as classification and regression, while undirected data mining techniques include clustering and anomaly detection.
When setting out to provide information to an organization or your employer as to why database systems should be used, provide information that is personal to them. Gather data and show proof that database systems would improve efficiency and be a good move for them.
Data warehouse is the database on which we apply data mining.
please give me research topic from database and more information
Database management systems are typically used for organizing data within a database. The data is organized so that it can be retrieved and stored in the most efficient manner possible.
What is data mining?is data mining another hype?Is it a simple transformation of technology developed from databases, statistics, and machine learning?how the evolution of database technology led to data mining.the steps involved in data mining when viewed as a process ofknowledge discovery.
OLDP
Data mining is the process of extracting hidden patterns from data. As more data is gathered, with the amount of data doubling every three years,[1] data mining is becoming an increasingly important tool to transform this data into information. It is commonly used in a wide range of profiling practices, such as marketing, surveillance, fraud detection and scientific discovery. Database is just the system that holds all the data. Or: "A database is a structured collection of records or data that is stored in a computer system." http://en.wikipedia.org/wiki/Database http://en.wikipedia.org/wiki/Data_mining
Modern databases have evolved with technology. They have gone from simply file systems to multimedia database systems. Unlike before, everything is saved in a database now.
The system database that contains descriptions of the data in the database is called the data dictionary or metadata repository. It stores information about the structure, definition, and organization of data elements within the database to help users and systems work with the data effectively.
Redundancy means duplicacy of data or repetitive data. In distributed database case the data is stored in different systems . So the answers is yes there can be redundancy of records / data.In distributed database , data is stored in different systems. Since the data is distributed there is redundancy of records.
The database can be of two types either distributed or centralized . In distributed database the data is in different systems. In centralized database the data is in a single central system.We can categorize database as either distributed or centralized . In centralized database the data is in a single centralized system. While In distributed database the data is in different systems .
There are currently 3 general categories of data base management systems in use today:relational database systemsmultidimensional database systems (often referred as 'cubes')object oriented database systemsPrior to the success of relational database systems (early 80's) there were also hierachical database systems and network (aka CODASYL) database systems.
Directed data mining involves using predefined goals or objectives to guide the analysis and modeling of data. In contrast, undirected data mining aims to discover patterns or relationships in data without specifying a particular outcome in advance. Directed data mining is typically used for tasks such as classification and regression, while undirected data mining techniques include clustering and anomaly detection.