BT9001 - Data Mining

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ASSIGNMENT

DRIVE	SPRING 2017
PROGRAM	BSc IT
SEMESTER	FIFTH
SUBJECT CODE & NAME	BT9001 - Data Mining
BK ID	B1188
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. What is the relation between Data Warehousing and Data Mining?

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 mining is a set of techniques used to search, retrieve and analyze data from a data warehouse (or other data storage mechanism) to answer business questions.

Question. 2. What is Online Analytical Processing (OLAP)?

Answer: Online analytical processing, or OLAP (/ˈoʊlæp/), is an approach to answering multi-dimensional analytical (MDA) queries swiftly in computing. OLAP is part of the broader category of business intelligence, which also encompasses relational database, report writing and data mining. Typical applications of OLAP include business reporting for sales, marketing, management reporting, business process management (BPM), budgeting and

Question. 3. Write short notes on Operational database Systems versus Data Warehouses.

Answer: The fundamental difference between operational systems and data warehousing systems is that operational systems are designed to support transaction processing whereas data warehousing systems are designed to support online analytical processing (or OLAP, for short).

Based on this fundamental difference, data usage patterns associated with operational systems are significantly different than usage patterns associated

Question. 4. What are the objectives of using data mining in business is?

Answer: The aim of data mining is to discover structure inside unstructured data, extract meaning from noisy data, discover patterns in apparently random data, and use all this information to better understand trends, patterns, correlations, and ultimately predict customer behavior, market and competition trends, so that the company uses its own data more meaningfully to better position itself on the new waves.

Question. 5. What are different Business Intelligence Tools?

Answer: Enterprises are awash in data about their customers, prospects, internal business processes, suppliers, partners and competitors. Often, they can't leverage this flood of data and convert it to actionable information for growing revenue, increasing profitability and efficiently operating the business. Business intelligence (BI) tools are the technology that enables business people to transform data into information that will help their business.

Question. 6. What do you understand by Data Cleaning?

Answer: Data cleansing or data cleaning is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data. Data cleansing may be performed interactively with data wrangling tools, or as batch processing through scripting.

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