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What are the key relationships between data warehouse and data mining?
Data warehouse is the database on which we apply data mining.
What company originally developed the CA-Datacom database?
Applied Data Research (ADR)
Is 'A database uses characteristics such as field size and data type to define each field' false?
No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.
Why is a table created in database?
Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.
Which type of database stores items that contain the data and the actions that read or process the data?
an object-oriented database
List Research topics in computer science under graduate degree?
sematic web cloud computing database mining mobile -android tools development data storage devices and its trend... etc...,.,
What are the key relationships between data warehouse and data mining?
Data warehouse is the database on which we apply data mining.
What are the seminar topics related to data mining?
Here are some interesting seminar topics related to data mining: Introduction to Data Mining Techniques – Overview of fundamental techniques like classification, clustering, regression, and association rule mining. Applications of Data Mining in Healthcare – How data mining is transforming patient care, disease prediction, and medical research. Big Data and Data Mining – Integrating data mining with big data tools to extract valuable insights. Data Mining in E-commerce – Techniques for customer behavior analysis and recommendation systems. Machine Learning in Data Mining – Exploring the role of machine learning algorithms in enhancing data mining processes. Data Mining for Fraud Detection – Using data mining to identify fraudulent activities in banking and finance.
What are the hot topics in data mining?
semantic web
What are the advantages for data mining services?
Some of the advantages in data mining services include Market Data Research. this provides the companies with large amounts of data for research and development.
Is data mining another hype?
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.
Analysis of large database to retrieve the information is called what?
OLDP
Difference between data mining and database?
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
What is directed data mining and undirected data mining in database?
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.
Why is data mining important?
Data mining just means gathering information. The purpose of data mining is to collect as much information as possible about any particular issue so that analysts can spot trends and predict what is likely to happen next. It is useful for companies because it helps them tailor their goods and services for the market.
What can used to organize and summarize research data?
Database softwareStatistical software
What displays the results from a search engine database?
If you find some topics in the search engines they can fetch the data from the sites and show you.... yes search engines display the data in the database and go to the specific data do u want to search..
