This association between products then will be applied in the design layout of the product in the supermarket. The process of identifying the related products bought together in one transaction is done by using data mining technique. Apriori algorithm is chosen as a method in the data mining process. Using WEKA (Waikato Environment for Knowledge Analysis) software‚ the association rule between products is calculated. The results found five category association rules and fourteen sub-category association
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Data Mining and Actionable Information May 24‚ 2014 Data Mining and Actionable Information People need information for planning their work‚ meet deadlines‚ and achieve their goals. They also need information to analyze problems and make important decisions. Data is most definitely not in short supply these days‚ but not all data is useful or reliable. Actionable information offers data that can be used to make effective and specific business decisions (Soatto‚ 2009). In order
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Recommended Systems using Collaborative Filtering and Classification Algorithms in Data Mining Dhwani Shah 2008A7PS097G Mentor – Mrs. Shubhangi Gawali BITSC331 2011 1 BITS – Pilani‚ K.K Birla Goa INDEX S. No. 1. 2. 3. 4. 5. 6. 7. 8. 9. Topic Introduction to Recommended Systems Problem Statement Apriori Algorithm Pseudo Code Apriori algorithm Example Classification Classification Techniques k-NN algorithm Determine a good value of k References Page No. 3 5 5 7 14 16 19 24 26 2
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regression model to testing and validation dataset (output is in “LR_Output2”‚ “LR_Testscore2”‚ and “LR_ValidLiftChart2”). In testcore sheet‚ we can see the probability output we generated for each row from test data. Below shows the regression model and scoring summary. 3. a) the data of purchaser only is in “Purchasers_only” sheet b) Partition is shown in “Data_Partition2” sheet c) Multiple Linear regression output can be seen in “MLR_Output1”. Target variable is “spending”. We select every
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tree induction and Clustering are two of the most prevalent data mining techniques used separately or together in many business applications. Most commercial data mining software tools provide these two techniques but few of them satisfy business needs. There are many criteria and factors to choose the most appropriate software for a particular organization. This paper aims to provide a comparative analysis for three popular data mining software tools‚ which are SAS® Enterprise Miner‚ SPSS Clementine
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integrated various decision support tools e.g. Data warehousing‚ Data mining‚ and Dynamic Programming approach to arrive at an actionable solution. 2. Review Present Decision support systems are a cohesive‚ integrated system of hardware and software designed specifically to manipulate data and enable users to support problem solving and decision making by drawing useful information from disparate sources of data with the help of mining techniques. While data mining can assist in the automated discovery
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Prosper Jan Alfred D. LUNA‚ Kier Erikko M. Suppose that your local bank has a data mining system. The bank has been studying your debit card usage patterns. Noticing that you make many transactions at home renovation stores‚ the bank decides to contact you‚ offering information regarding their special loans for home improvements. a. Discuss how this may conflict with your right to privacy. R.A. 10173 or the Data Privacy Act is an act protecting individual personal information in information
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of MIS? Answer: During the period of preindustrial revolution most of the data processing was done manually. It was after the industrial revolution that the computers slowly started replacing manual labor. The modern digital computer was basically designed to handle scientific calculations. During the period 1940 to 1960 computers were commercially used for census and payroll work. This involved large amount of data and its processing. Since then the commercial application exceeded the scientific
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NETFLIX Company Analysis Michael M. Akers521 June 3‚ 2011 Academic Crib Sheet Continue your business analysis using the company you selected in Week Four. Write a paper no more than 2‚400 words in which you research the company’s business environment. Review the company’s income statement‚ balance sheet‚ and cash flow to determine the financial health of the company. Be sure to compare your company to at least two other companies in the industry. Be sure to answer the following:
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The CRISP-DM is developed and introduced by IBM SPSS Modeler. It helps to organize task streams‚ output‚ and annotations according to the phases of a usual data mining project. CRISP-DM IBM SPSS Modeler consists of six difference phases which are business understanding‚ data understanding‚ data preparation‚ modeling‚ evaluation and deployment as shown in Figure 1 in order to find the patterns and discovered the knowledge. The CRISP-DM model is flexible and can be customized easily. The key steps
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