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May 17, 2019· Data mining is the considered as a process of extracting data from large data sets. On the other hand, Data warehousing is the process of pooling all relevant data together. One of the most important benefits of data mining techniques is the detection and identification of errors in the system.

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1. What is Datawarehousing? A Datawarehouse is the repository of a data and it is used for Management decision support system. Datawarehouse consists of wide variety of data that has high level of business conditions at a single point in time.

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Chapter 19. Data Warehousing and Data Mining Table of contents • Objectives • Context • General introduction to data warehousing – What is a data warehouse? – Operational systems vs. data warehousing systems ∗ Operational systems ... Important issues include the role of metadata as

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Jul 14, 2011· A data warehouse is a special type of database. It is used to store large amounts of data, such as analytics, historical, or customer data, and then build large reports and data mining against it. It is markedly different from a web-facing or high-transaction database, which typically has many ...

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2. State why the data preprocessing an important issue for data warehousing and data mining. 3. What is the need for discretization in data mining?. 4. What are the various forms of data preprocessing? 5. What is concept Hierarchy? Give an example. 6. What are the various forms of data preprocessing? 7.

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DATA WAREHOUSING . 1. Define Data warehouse. A data warehouse is a repository of multiple heterogeneous data sources organized under a unified schema at a single site to facilitate management decision making .

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5 Write the syntax for the following data mining primitives a) Task Relevant Data b) Concept Hierarchies 6 Write the syntax for the following data mining primitives a) kind of knowledge to be mined b) measures in pattern interestingness 7 Describe why it is important to have a data mining query language

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Jun 28, 2017· Data mining is the process of analyzing large amounts of data in an effort to find correlations, patterns, and insights. You can say Data mining is Data Discovery in other word. To discover relationship between two or more variables in your data we require Data Mining.

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ANSWERS PDF - Updated on March 20. DATA MINING OBJECTIVE QUESTIONS AND ANSWERS Data Warehousing Interview Questions And Answers. Pinal Dave. Elective: Datawarehousing and Mining-454U8. Multiple Choice Questions. The important aspect of the data warehouse environment is that data found. The advantages of a data warehouse approach are not specific to

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Question 2. Differentiate Between Data Mining And Data Warehousing? Answer : Data warehousing is merely extracting data from different sources, cleaning the data and storing it in the warehouse. Where as data mining aims to examine or explore the data using queries. These queries can be fired on the data warehouse.

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