Paper of Data Warehousing, mining and Business Intelligence is study of technical skills of recognising, storing and researching business data, database which is used for this purpose. Data Warehousing forms an important tool for the business organizations to maintain their databases in an organised manner.

Importance of the paper:

The paper is important in terms of company revenue, sales report and profit analysis as it manages the database of company and stored the relevant data.

Paper Pattern:

Paper of Data Warehousing, mining and Business Intelligence consist of 7-8 questions in it. There are questions of equal value of marks. Only 5 questions from it are needed to be attempted. Question no. 1 is compulsory whereas rest 4 are to be chosen from remaining 6 questions. Question from each module depends on the no. of lectures taken.

Questions asked often:

Questions asked are such as design of star schema and snow flake schema, design of a BI application, major issues in data mining, data mining task primitives, fact table, web mining & web content mining, method of hierarchical clustering, multi-dimensional association rules, multilevel association rules, constraint based association rule mining, data discretization, summarization, numerosity reduction in data pre-processing, BIRCH method of clustering, short notes on spatial OLAP, association rule mining data stream, approaches in text mining, sequence mining in transactional data base, K-mean data clustering etc.

Marks and time:

A total mark which is allotted to the paper is 100 and time in which it is required to be solved is 3 hours only.

Recommended Books:

• Building the data warehouse - William H. Inmon
• Business Intelligence: Making Better Decisions Faster by Elizabeth Vitt, Michael Luckevich, Stacia Misner