Mc0088 data mining
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The document provides a series of assignment questions related to data mining and data warehousing for students in a Master's program. Topics include differentiation between data mining and data warehousing, features of data warehouses, data integration vs. transformation, and clustering techniques. Students are encouraged to send their semester and specialization information to receive fully solved assignments.
Mc0088 data mining
- 1. Dear students get fully solved assignments Send your semester & Specialization name to our mail id : help.mbaassignments@gmail.com or call us at : 08263069601 ASSIGNMENT DRIVE FALL – 2016 PROGRAM MCA(REVISED FALL 2007) SEMESTER 6 SUBJECT CODE & NAME MC0088- DATA MINING BK ID B1009 CREDITS 4 MARKS 60 Note: Answer all questions. Kindly note that answers for 10 marks questions should be approximately of 400 words. Each question is followed by evaluation scheme. Question. 1. Differentiate between Data Mining and Data Warehousing. Answer: Data warehousing is about the STORING of analytical data in a structure suitable for data mining. This analytical data is extracted from the operational systems usually on a daily basis. Data miningisa setof techniquesusedto search, retrieve and analyze data from a data warehouse (or other data storage mechanism) to answer Question. 2. What are the key features of a Data Warehouse? Explain. Answer: Data warehouse canbe definedas‘Structural Repository’of historicdata.It isdeveloped in evolutionaryprocessbyintegratingthe datafromnon integratedsystemsliketextfiles,excelsheets, databases(The same is shown in the diagram below.)
- 2. Question. 3. Differentiate between Data Integration and Transformation. Answer: ETL is a type of data integration and involves an architecture that extracts, transforms and then loads data in a target database or file. Other forms of data integration include ELT (Extract, Load and Transform) or ELTL or EII. There is also manual data integration where a user exports a database table and imports it into another database. ETL is most commonly used as a name for a specific type of data integration tool. Question. 4. Differentiate between database management systems (DBMS) and data mining. Answer: A DBMS (Database Management System) is a complete system used for managing digital databasesthatallowsstorage of database content,creation/maintenance of data, search and other functionalities.Onthe otherhand, Data Mining is a field in computer science, which deals with the extractionof previouslyunknownandinterestinginformationfrom raw data. Usually, the data used as the input for the Data mining process is stored in databases. Users who are inclined toward statistics use Data Mining. They utilize Question. 5. Differentiate between K-means and Hierarchical clustering. Answer: There are a numberof importantdifferencesbetweenk-meansand hierarchical clustering, ranging from how the algorithms are implemented to how you can interpret the results. The k-means algorithm is parameterized by the value k, which is the number of clusters that you want to create. As the animation below illustrates, the algorithm begins by creating k centroids. It then iterates between an assign step (where Question. 6. Differentiate between Web content mining and Web usage mining. Answer: Web mining is a rapid growing research area. It consists of Web usage mining, Web structure mining,andWebcontentmining.Webusage miningrefers to the discovery of user access patterns from Web usage logs. Web structure mining tries to discover useful knowledge from the structure of hyperlinks.Webcontentminingaimsto extract/mine useful information or knowledge from web page contents. This tutorial focuses on Web Content Mining. Dear students get fully solved assignments Send your semester & Specialization name to our mail id : help.mbaassignments@gmail.com
- 3. or call us at : 08263069601