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QUESTION BANK 2019 DATA WAREHOUSING AND DATA MINING Page 2 UNIT –II 1. a) Define Data warehouse? Discuss Design principles. 5M b) Write in brief about …

Data Warehouse and Data Mining Notes - Free download as Word Doc (.doc), PDF File (.pdf), Text File (.txt) or read online for free. The document discusses key concepts related to data warehousing including components, characteristics, architecture, and benefits. It defines a data warehouse as a collection of historical data from different 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.

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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 ...

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 …

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 …

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 ...

It speeds the analysis of fact tables into cubes, stores the cubes until needed, and then quickly returns the data to clients. 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.

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.

Data warehousing Architecture – - Mapping the Data Warehouse to a Multiprocessor Architecture – DBMS Schemas for Decision Support– Metadata. UNIT II (Sure questions …

vidyarthiplus. vidyarthiplus. CS2032 DATA WAREHOUSING AND DATA MINING. Note: 1 u study the dwdm. these topics and then move to remaining topics wat u feel as important 2 of the theory questions during the valuation they wil see correct definitions,key points,sub headings, presentation.... 3 mug up all the points.. 4 point by point 5 the given below …

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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1. Give the Architecture of Data warehouse and explain its usage. 2. State the difference between OLTP and OLAP in detail. 3. Explain the operations performed on data warehouse with examples. 4. Write short notes on data warehouse Meta data. 5. Explain the Conceptual Modeling of Data Warehouses. Unit 2

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

Time : Three hours Maximum : 100 marks Department:Information Technology,Computer Science & Engineering Semester:7(CSE)/6(IT) Subject Code:CS2032 Subject Name: Data Warehousing and Data Mining Study Material Description: CS2032 Data Warehousing and Data Mining May/June 2014 Question Paper (Regulation 2008/2010)

Full Name : Dhilip Prabakaran College Name : Dhanalakshmi College of Engineering Department : Computer Science and Engineering Semester : 7 Subject Code : CS2032 Subject Name : Data Warehousing and Data Mining Study Material Description : Question Paper May/June 2016 Examination

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 …

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

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.

Home 07th Semester Question Papers 2015 Question Papers Anna University Question Papers CS2032 Data Warehousing and Data Mining Jeba Jan 2016. ... CS2032 Data Warehousing and Data Mining AU Chennai 7th Semester Final Year B.E CSE / 06th Semester B.Tech IT R-2008 Nov Dec 2015 Exam / Old Question Paper …

CS2032-Data warehousing and Data mining -II Question Bank Part-A 1.Differentiate 3tier and 3 layer architecture 2.Differentiate OLTP and OLAP 3.Different types of Data …

cs2032 data warehousing and data mining syllabus | anna university be cse 7th semester syllabus regulation 2008 2011-2012 below is the anna university seventh semester b.e. computer science and engineering department syllabus it is applicable for all students admitted in the year 2011-2012 (anna university …

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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