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Data Warehousing for Business Intelligence and Analysis the bank Data Set Using Datamining Technique.

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Instructions Analyse the Bank Marketing data set (available from the UCI Machine Learning Repository to explore the different factors that affect the success of a particular marketing campaign. Your aim is to identify which attribute or combination of attributes and which algorithm has the highest accuracy in identifying customers who will subscribe to the new product. Once you have completed this, write a report to describe in detail the analyses you have performed. Your report should include: A data set description in terms of the attributes present in the data, the number of ins...

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Question Preview:

Instructions Analyse the Bank Marketing data set (available from the UCI Machine Learning Repository to explore the different factors that affect the success of a particular marketing campaign. Your aim is to identify which attribute or combination of attributes and which algorithm has the highest accuracy in identifying customers who will subscribe to the new product. Once you have completed this, write a report to describe in detail the analyses you have performed. Your report should include: A data set description in terms of the attributes present in the data, the number of instances, missing values, and other relevant characteristics. A detailed description of the pre-processing of the data. Evidence that you have investigated the data using multiple analysis methods. An explanation of the selected algorithm. A discussion of any pre or post processing done to improve the accuracy of your analysis. A business recommendation based upon your analysis. The report should be no more than 2500 words long and should include such graphics as are appropriate to illustrate your answers. Please download the attached file.

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Analysis the bank marketing data set is impossible by the human because the size of the data set will be huge electronic data. Use of data mining techniques we can analysis the bank marketing data set easily. This report is discuss about the detailed knowledge and systematic understanding of the current trends in data warehousing, business intelligence, data mining, conceptual modelling for data warehouse applications and techniques. The purpose of this report is used to analysis the bank marketing data set using data mining techniques and also identify which attribute or combination of attributes and which algorithm has the highest accuracy in identifying customers who will subscribe to the new product.

The huge information about the customer details maintain by the bank. The information can be used to create and store the relationship between the attributes. Mainly two approaches are there to promote the products and or services. They are through the mass operations that are targeting general discriminating and directed marketing that are targeting specific contacts[1]. The mass campaigns service is very low efficiency than directed marketing. The directed marketing service is mainly concentrate on specific product or service this will make more attractive and efficient.

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