With olap, why data mining?

Barry Ziemann asked a question: With olap, why data mining?
Asked By: Barry Ziemann
Date created: Sat, Jun 19, 2021 5:39 AM

Content

FAQ

Those who are looking for an answer to the question «With olap, why data mining?» often ask the following questions:

❔ What is olap data mining?

Online Analytical Processing (OLAP) is a category of software that allows users to analyze information from multiple database systems at the same time. It is a technology that enables analysts to extract and view business data from different points of view. Analysts frequently need to group, aggregate and join data.

❔ Data mining and olap are interrelated?

OLAP and Data Mining Comparison. OLAP and data mining are used to solve different kinds of analytic problems: OLAP summarizes data and makes forecasts. For example, OLAP answers questions like "What are the average sales of mutual funds, by region and by year?" Data mining discovers hidden patterns in data.

❔ Is olap used in data mining?

Data Cube or OLAP approach in Data Mining Last Updated : 26 Jul, 2021 Grouping of data in a multidimensional matrix is called data cubes. In Dataware housing, we generally deal with various multidimensional data models as the data will be represented by multiple dimensions and multiple attributes.

9 other answers

In short, OLAP reveals the known and past data relations, while data mining reveals the unknown and future data relations. Therefore, data mining can be used to make predictions!

By integration of OLAP and data mining, OLAP mining facilitates flexible mining of interesting knowledge in data cubes because data mining can be performed at multi-dimensional and multi-level abstraction space in a data

OLAP mining is a mechanism which integrates on-line analytical processing (OLAP) with data mining so that mining can be performed in different portions of databases or data warehouses and at different levels of abstraction at user’s finger tips.

OLAP is a category of software technology that enables analysts, managers, and executives to gain insight into data through fast, consistent, interactive access to a wide variety of possible views of information that has been transformed from raw data to reflect the dimensionality of the enterprise as understood by the user.

OLAP and data mining are used to solve different kinds of analytical problems. OLAP summarizes data and makes forecasts. For example, it answers operational questions like “What are the average ...

Difference between Data Mining and OLAP. Last Updated : 10 Jun, 2020. 1. Data Mining : Data mining is defined as a process used to extract usable data from larger set of any raw data. Some key features of data mining are –. Automatic Pattern Prediction based on trend and behavior analysis. Predictions based on likely outcomes.

Online Analytical Processing (OLAP) is usually contrasted from Online Transactional Processing (OLTP) and is a way of storing data so that it can be used for better analytical queries. The biggest difference in OLAP is that data is stored in what is commonly referred to as an OLAP cube.

One reason OLAP systems are so fast is that they pre-aggregate values that would need to be computed on the fly in a traditional relational database system. The calculation engine handles aggregating data as well as business calculations. In an OLAP system, the analytic capabilities are independent from how the data is presented.

Data storage and OLAP technology constant development made the way for efficient online analytical mining. OLAM is a natural addition to OLAP technology, which improves data analysis in data warehouses. Use them together and get everything at once.

Your Answer

We've handpicked 23 related questions for you, similar to «With olap, why data mining?» so you can surely find the answer!

What is olap server in data mining?

In fact, an OLAP server is typically the middle, analytical tier of a data warehousing solution. Common uses of OLAP include data mining and other business intelligence applications, complex analytical calculations, and predictive scenarios, as well as business reporting functions like financial analysis, budgeting, and forecast planning.

Read more

What is olap technology in data mining?

OLAP entails multidimensional data structure used for analysis of historical information while data mining implies exploring patterns and methods including the practice of machine learning and database systems.

Read more

Explain how dss big data olap data mining is used?

Explain how DSS, “big data”, OLAP, data mining, and predictive analytics are used in business. When answering, be sure to cite your research sources. - 12095450

Read more

How do data warehousing and olap relate to data mining?

Warehousing Data: The Data Warehouse, Data Mining, and OLAP Warehousing data is based on the premise that the quality of a manager's decisions is based, at least in part,on the quality of his information .

Read more

Can you use data mining for visualizations & olap?

Both OLAP and data mining give an opportunity to handle and analyze big amounts of data from numerous angles such as sales by department, by store, by country, by item, etc. In general, OLAP enables organizations to successfully perform reporting, analysis, budgeting, etc.

Read more

How olap technology is important in data mining?

Data Cube or OLAP approach in Data Mining Last Updated : 26 Jul, 2021 Grouping of data in a multidimensional matrix is called data cubes. In Dataware housing, we generally deal with various multidimensional data models as the data will be represented by multiple dimensions and multiple attributes.

Read more

Is data mining and olap or oltp process?

The main difference between OLAP and OLTP: Processing type

transactional. Each system is optimized for that type of processing… OLAP systems are designed for use by data scientists, business analysts and knowledge workers, and they support business intelligence (BI), data mining and other decision support applications.

Read more

What are olap operations in data mining methods?

General OLAP operations involve Drill-up, Drill-down, Pivot, and Slice-and-Dice. Here we’d like to expand the list and look through all possible OLAP operations with examples for data mining including slicing and dicing in OLAP. But before defining what is OLAP operation, let’s figure out what language is used in this process.

Read more

What are olap operations in data mining system?

OLAP Operations in DBMS Last Updated : 19 Aug, 2019 OLAP stands for Online Analytical Processing Server. It is a software technology that allows users to analyze information from multiple database systems at the same time.

Read more

What is an olap cube for data mining?

OLAP Cube Definition. An OLAP Cube is a data structure that allows fast analysis of data according to the multiple Dimensions that define a business problem. A multidimensional cube for reporting sales might be, for example, composed of 7 Dimensions: Salesperson, Sales Amount, Region, Product, Region, Month, Year.

Read more

What is olap and oltp in data mining?

OLTP is a system to modify data online whilst OLAP is an online multidimensional data retrieval system, which extracts the data that can help in business to analyze the performance, develop strategies and make decisions. OLTP system is a provider of data for OLAP environment.

Read more

What is olap in data mining in hindi?

Fig:-OLAP vs OLTP. OLAP in hindi:-OLAP का पूरा नाम Online analytical processing है। OLAP जो है वह historical डेटा के साथ work करता है। OLTP में डेटा normalized नही होता है अर्थात डेटा redundant होता है।

Read more

What is olap in data warehousing and mining?

• Data warehousing and data mining relationship. A. Bellaachia Page: 4 2. What is Data Warehouse? 2.1. Definitions • Defined in many different ways, but not rigorously. • A decision support database that is maintained ...

Read more

What role does olap play in data mining?

OLAP mining facilitates interactive exploratory data analysis. Users of- ten like to traverse flexibly through a database, select any portions of relevant data, analyze data at different levels of abstraction, and present knowledge/results in different forms.

Read more

What is online analytical processing olap in data mining and data?

Online Analytical Processing (OLAP) is a category of software that allows users to analyze information from multiple database systems at the same time. It is a technology that enables analysts to extract and view business data from different points of view. Analysts frequently need to group, aggregate and join data.

Read more

How does data mining and olap completement each other?

olap and data mining data mining

Warehouse, OLAP, and data mining complement each other: ... OLAP and data mining enables the data warehouse which should be used effectively for the online analysis and provides the response and it should iterate the complex queries. • OLAP and data mining are used to solve the different types of the solutions.

Read more

What are olap operations in data mining in java?

Pivot is a visualization operations which rotates the data axes in view to provide an alternative presentation of the data. It may contain swapping the rows and columns or moving one of the row-dimensions into the column dimensions. Consider the following diagram, which shows the pivot operation. Other OLAP Operations

Read more

What do you mean by olap in data mining?

Online analytical processing, or OLAP (/ˈoʊlæp/), is an approach to answer multi-dimensional analytical (MDA) queries swiftly in computing. OLAP is part of the broader category of business intelligence, which also encompasses relational databases, report writing and data mining.

Read more

What is olap and oltp in data mining definition?

OLTP is a system to modify data online whilst OLAP is an online multidimensional data retrieval system, which extracts the data that can help in business to analyze the performance, develop strategies and make decisions. OLTP system is a provider of data for OLAP environment.

Read more

What is olap and oltp in data mining meaning?

Within the data science field, there are two types of data processing systems: online analytical processing (OLAP) and online transaction processing (OLTP). The main difference is that one uses data to gain valuable insights, while the other is purely operational. However, there are meaningful ways to use both systems to solve data problems.

Read more

What is olap and oltp in data mining process?

Within the data science field, there are two types of data processing systems: online analytical processing (OLAP) and online transaction processing (OLTP). The main difference is that one uses data to gain valuable insights, while the other is purely operational. However, there are meaningful ways to use both systems to solve data problems.

Read more

What is olap and oltp in data mining software?

OLTP is a system to modify data online whilst OLAP is an online multidimensional data retrieval system, which extracts the data that can help in business to analyze the performance, develop strategies and make decisions. OLTP system is a provider of data for OLAP environment.

Read more

What is olap and oltp in data mining technology?

Within the data science field, there are two types of data processing systems: online analytical processing (OLAP) and online transaction processing (OLTP). The main difference is that one uses data to gain valuable insights, while the other is purely operational. However, there are meaningful ways to use both systems to solve data problems.

Read more