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A data mining query language can be used to specify data mining tasks. In particular, we examine how to define data warehouses and data marts in our SQL-based data …

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Once the data has been migrated to the DW, data scientists can begin to provide retail management with meaningful information through the practice of data mining. Data mining is the process of discovering patterns in large data sets and involves methods at the intersection of machine learning, statistics, and database systems.

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Anna University Department of Computer Science Engineering Seventh Semester CS2032 Data Warehousing and Data Mining B.E./B.Tech. DEGREE EXAMINATION, NOVEMBER/DECEMBER 2011 (Regulation 2008) -----Home; Portal; Search. Member List ... IT6006 Data Analytics April/May 2019 Question Paper; CS2032 Data Warehousing …

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Data Mining is a computational process of discovering patterns and knowledge from large amounts of data. It involves methods from statistics and artificial intelligence with database management to analyze large datasets and extract valuable information. During tech interviews, data mining questions test a candidate's proficiency in analyzing data, …

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CS 2032 : DATA WAREHOUSING AND MINING TWO MARKS QUESTIONS AND ANSWERS. Unit I. 1 Data mining. It refers to extracting or "mining" knowledge from large amount of data. Data mining is a process of discovering interesting knowledge from large amounts of data stored either, in database, data warehouse, or other information …

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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.

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Anna University Nov/Dec 2012 Examinations Important Questions Subject code : CS2032 Subject title : Data Warehousing and Data Mining Year ': 4th Sem : VII Department of …

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1.What is Data Warehousing? Ans: Data warehousing is the process of constructing and using a data warehouse.A data warehouse is constructed by integrating data from multiple heterogeneous sources that support analytical reporting, structured and/or ad hoc queries, and decision making. Data warehousing involves data cleaning, data …

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QUESTION BANK. CS8075 - DW&DM. Home. More. DATA WAREHOUSING & DATA MINING. SUBJECT NAME : DATA WAREHOUSING & DATA MINING. SUBJECT CODE : CS8075. REGULATION : 2017. YEAR / SEMESTER: III / VI. COURSE OBJECTIVES. To understand data warehouse concepts, architecture, business analysis and tools . To …

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Question 1 is compulsory 2. Answer any three out of remaining five questions. 3. Assume any suitable data wherever required and justify the same. Ql a) Why is data integration required in a data warehouse, more so than in an operational [5] application? b) Describe the steps involved in Data Mining when viewed as a process of knowledge [5]

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Ch. 1-3 (Open Book Assignment) Question 1 Collecting health data in a data warehouse and mining that data for new relationships and new understanding is an example of: a) processing knowledge b) disseminating knowledge. c) acquiring feedback. d) processing feedback. e) generating knowledge.

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Here are the top 50 commonly asked questions in Data Mining interviews. Whether you're just starting your preparation or need a quick refresher, these questions and answers will boost your confidence for the interview. ... What is the difference between data mining and data warehousing? Data mining is the process of finding patterns in a ...

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Subject Code : CS2032 Subject Name : Data Warehousing and Data Mining Type : Lecture Notes Edition Details : 2013 Edition (Original Version) Syllabus Regulation : 2008 Attachment Type : .ppt Details : CS2032 Data Warehousing and Data Mining - Lecture Notes - 2013 Edition. Attachment: datamining V+.rar (Size: 3.29 / Downloads: 8,132)

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DATA WAREHOUSING AND DATA MINING Time Allotted: 3 Hours Full Marks : 70 The figures in the margin indicate full marks. Candidates are required to give their answers in their own words as far as practicable. GROUP – A ( Multiple Choice Type Questions ) 1. Choose the correct alternatives for any ten of the following : 10 × 1 = 10 i) A data ...

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Semester : 7 and 6 (I.T) Department : Computer Science Engineering Subject Code : CS2032 Subject Name : Data Warehousing and Data Mining Type : 2 Marks with Answers Edition Details : APCE 2013 Edition (Original Version) Syllabus Regulation : 2008 Attachment Type : pdf No. of. Pages : 22 CS2032 Data Warehousing and Data Mining …

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Browse through edunotes.in - to access Computer Science Resources & Notes. EDU NOTES - Computer Science Resources. Lesson Notes for B.E., B.Tech and M.Tech courses

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