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CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES
... Al-Attar, 1998, Data Mining – Beyond Algorithms’, http://www.attar.com/tutor /mining. htm.[2] Berry, J. A. Michael; Linoff, Gordon, 1997, Data Mining Techniques: For Marketing, Sales, and Customer Support’, ... of Data Set(training and test set)Filling theempty cellsMUSAFinal AnalysisIs the Data SetComplete?YesNoSelection of completequestionnaires CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES Nikolaos ... Greek shippingsector. The main data set consists of 523 customers (test set: 100, training set: 423) and 5 criteria.Prediction level is quite satisfactory resulting that data mining techniques...
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Tài liệu CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES ppt
... terminology, data mining can be defined as ‘a decisionsupport process in which one search for patterns of information in data (Parsaye, 1997).Figure 2: Rule Induction process Data mining techniques ... Al-Attar, 1998, Data Mining – Beyond Algorithms’, http://www.attar.com/tutor /mining. htm.[2] Berry, J. A. Michael; Linoff, Gordon, 1997, Data Mining Techniques: For Marketing, Sales, and Customer Support’, ... average satisfaction indexes. RULE BASED DATA MINING TECHNIQUES The objective of data mining is to extract valuable information from one’s data, to discover the ‘hiddengold’. In Decision Support...
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Tài liệu CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES pdf
... the findings of the more sophisticated ACSI findings of the same fast food establishments within the USA? -1-Tuesday, 17 January 2006Measuring Customer Satisfaction In TheFast Food Industry:A ... service setting (SatSett) Suits fast food industry well, because assessments are easy to obtain -12-18/01/2006Ulrich Öfele4.2 Factorial Findings (III) Customer satisfaction ratings (CSS ... Outlineof thetext Aim of the paper: development and validation of a scale for the measurement of customer satisfaction within the international fast food industry Cross-cultural investigation...
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Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management - Second Edition
... of data mining techniques to a real business problem. The case study is used to introduce the virtuous cycle of data mining. Data mining is presented as an ongoing activity within the business ... ultimately turning data into information, information into action, and action into value. This is the virtuous cycle of data mining in a nutshell. To achieve this promise, data mining needs to ... Data Mining 27 As these steps suggest, the key to success is incorporating data mining into business processes and being able to foster lines of communication between the technical data miners...
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data mining techniques
... Applications and Trends in Data Mining 64911.1 Data Mining Applications 64911.1.1 Data Mining for Financial Data Analysis 64911.1.2 Data Mining for the Retail Industry 65111.1.3 Data Mining for the Telecommunication ... Data Mining 66611.3.3 Visual and Audio Data Mining 66711.3.4 Data Mining and Collaborative Filtering 67011.4 Social Impacts of Data Mining 67511.4.1 Ubiquitous and Invisible Data Mining 67511.4.2 ... a Data Mining System 66011.2.2 Examples of Commercial Data Mining Systems 66311.3 Additional Themes on Data Mining 66511.3.1 Theoretical Foundations of Data Mining 66511.3.2 Statistical Data...
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John wiley sons data mining techniques for marketing sales_20 pptx
... 199–201 brainstorming meetings, 37 branching nodes, decision trees, 176 budgets, fixed, marketing campaigns, 97–100 building models, data mining, 8, 77 Building the Data Warehouse (Bill Inmon), ... customers, weeding out, 18 building businesses around, 2 customer acquisition, 461–464 customer activation, 464–466 customer- centric enterprises, 3 data mining role in, 5–6 data warehousing, 4–5 ... affinity grouping, 57 clustering, 57 discussed, 7 Data Preparation for Data Mining (Dorian Pyle), 75 The Data Warehouse Toolkit (Ralph Kimball), 474 data warehousing customer patterns,...
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John wiley sons data mining techniques for marketing sales_2 pptx
... of data mining techniques to a real business problem. The case study is used to introduce the virtuous cycle of data mining. Data mining is presented as an ongoing activity within the business ... ultimately turning data into information, information into action, and action into value. This is the virtuous cycle of data mining in a nutshell. To achieve this promise, data mining needs to ... cycle of data mining in practice. Figure 2.1 shows the four stages: 1. Identifying the business problem. 2. Mining data to transform the data into actionable information. 3. Acting on the information....
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John wiley sons data mining techniques for marketing sales_4 pdf
... Learned Data mining comes in two forms. Directed data mining involves searching through historical records to find patterns that explain a particular outcome. Directed data mining includes ... profiling. Undirected data mining searches through the same records for interesting patterns. It includes the tasks of clustering, finding association rules, and description. Data mining brings ... 3/8/04 11:10 AM Page 97 Data Mining Applications 97 mining techniques used to generate the scores. It is worth noting, however, that many of the data mining techniques in this book can and have...
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John wiley sons data mining techniques for marketing sales_5 pdf
... Statistics: Data Mining Using Familiar Tools 127 Looking at Discrete Values Much of the data used in data mining is discrete by nature, rather than contin-uous. Discrete data shows up in the form ... Determining Customer Value Customer value calculations are quite complex and although data mining has a role to play, customer value calculations are largely a matter of getting finan-cial definitions ... looking for accurate numbers in the near term, modeling each step in the business processes may be the best approach. Improving Collections Once customers have stopped paying, data mining...
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John wiley sons data mining techniques for marketing sales_6 ppt
... several areas: ■■ Data miners tend to ignore measurement error in raw data. ■■ Data miners assume that there is more than enough data and process-ing power. ■■ Data mining assumes dependency ... Statistics: Data Mining Using Familiar Tools 159 statisticians use similar techniques to solve similar problems, the data mining approach differs from the standard statistical approach in several ... Statistics: Data Mining Using Familiar Tools 153 constrained the data is in the table. If the table has r rows and c columns, then there are r * c cells in the table. into account by subtracting the...
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John wiley sons data mining techniques for marketing sales_8 ppt
... the points. A parabola is a U-shaped curve that has a single minimum (or method of training neural networks in most data mining tools. TRAINING AS OPTIMIZATION an inefficient way to train networks. ... training set is critical for all data mining modeling. A poor training set dooms the network, regardless of any other work that goes into creating it. Fortunately, there are only a few things ... networks in two ways. First, the more features used as inputs into the network, the larger the network needs to be, increasing the risk of overfitting and increasing the size of the training set....
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John wiley sons data mining techniques for marketing sales_12 doc
... variable. Most data mining tasks start out with a preclassified training set, which is used to develop a model capable of scoring or classifying previously unseen records. In clustering, there ... Unfortunately, in commercial data mining there is usually no common scale available because the different units being used are measuring quite different things. If variables include plot size, ... popular application of clustering. Automatic cluster detection is a data mining technique that is rarely used in isolation because finding clusters is not often an end in itself. Once clusters have...
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