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A data warehouse is a electronic storage of an Organization's historical data for the purpose of Data Analytics, such as reporting, analysis and other knowledge discovery activities. Other than Data Analytics, a data warehouse can also be used for the purpose of data integration, master data ...

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Data Warehousing and Data Mining. QUESTION BANK. 2012 Edition. Sub Code : CS2032. ... Distinguish between Data warehousing and data mining. [8] (ii)Describe in detail about data extraction, cleanup [8] 5. Write short notes on ... State why the data preprocessing an important issue for data warehousing and data mining. 3. What is the need for ...

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CS2032/ CS701 Data Warehousing and Data Mining QUESTION BANK UNIT-I PART A DATA WAREHOUSING s. Define the term ‘Data Warehouse’. 2. Write down the applications of data warehousing.

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To Download CS2032 DATA WAREHOUSING AND DATA MINING NOTES [UNIT I and II] Click HERE. Data Warehouse Introduction. A data warehouse is a collection of data marts representing historical data from different operations in the company.

16. Differentiate data mining and data warehousing. (Nov/Dec 2011) data mining refers to extracting or “mining” knowledge from large amounts of data. The term is actually a misnomer. Remember that the mining of gold from rocks or sand is referred to as gold mining rather than rock or sand mining.

To Download CS2032 DATA WAREHOUSING AND DATA MINING NOTES [UNIT I and II] Click HERE Data Warehouse Introduction A data warehouse is a collection of data marts representing historical data from different operations in the company.

A data mart is a segment of a data warehouse that can provide data for reporting and analysis on a section, unit, department or operation in the company, e.g. sales, payroll, production. Data marts are sometimes complete individual data warehouses which are usually smaller than the corporate data warehouse.

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Data mining is the process of analyzing data and summarizing it to produce useful information. Data mining uses sophisticated data analysis tools to discover patterns and relationships in large ...

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knowledge mining which emphasis on mining from large amounts of data. It is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems.

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CS 2032 : DATA WAREHOUSING AND MINING TWO MARKS QUESTIONS AND ANSWERS. 1.Define Data mining. It refers to extracting or “mining” knowledge from large amount of data.

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