10 a Write an XQueryXPath that provides the supplier code of this purchase

10 a write an xqueryxpath that provides the supplier

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10. (a) Write an XQuery/XPath that provides the supplier code of this purchase order. {/Purchase Order/Supplier/Code/Text()}
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(b) What is the result of the XQuery/XPath: {/PurchaseOrder/Items/Item1/UnitPrice/text()} 2300.00 (c) Write an XQuery that checks whether the supplier is Canadian, as required for example of an XOR split flow- control in YAWL {/Purchase Order/Supplier/Adress/Country/Text()=”Canada”} 11) Discuss with the use of an example of how resource mining can be used by an organization In business data mining, is the analysis of historical business activities, stored as static data, in databases. The goal is to reveal hidden patterns and trends. Data mining software uses advanced pattern recognition algorithms to sift through large amounts of data to aid the discovery of previously unknown strategic business information. Data mining is primarily used today by companies with a strong consumer focus on retail, financial, communications, and marketing organizations in order to place emphasis on transactional data and determine pricing , customer preferences, and product positioning, impact on sales, customer satisfaction, and corporate profits. With data mining, a retailer can use point-of-sale records of customer purchases to develop products and promotions to appeal to specific customer segments. Fraud detection: Billions of dollars have been lost to the actions of frauds. Traditional methods of fraud detection are time consuming and complex. Data mining aids in providing meaning full patterns and turning data into information. Any information that is valid and useful is knowledge. A perfect fraud detection system should protection information of all users. A Supervised method includes collection of sample records. These records are classified fraudulent or non-fraudulent. A model is built using this data and the algorithm is made to identify whether the record is fraudulent or not. Financial banking: with computerized banking everywhere huge amount of data is supposed to be generated with new transactions. Data mining can contribute to solving business problems in banking and finance by finding patterns, casualties, and correlations in business information amd market prices that are not immediately apparent to managers because the volume data is too large or is generated too quickly to screen by experts. The managers may find this information to be better for segmenting, targeting, and acquiring a profitable customer. For example, Walmart possesses over 20 million point of sale transactions every day. This information is stored in a centralized database, but would be useless without some type of data mining software to analyze it. If Walmart analyzed the point of sale data they would be able to determine sales trends, develop marketing campaigns, and more accurately be able to predict customer loyalty. 12)
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Other important topics that may appear in Part B)! Process metrics Enabled transitions 8 Groups of control flow patterns Life cycle of work items
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