... c04.qxd 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 dataminingtechniques in this book can ... relationships suggest new hypotheses to test and the datamining process begins all over again. Lessons Learned Data mining comes in two forms. Directed datamining involves searching through historical ... independent of the data 470643 c04.qxd 3/8/04 11:10 AM Page 87 Data Mining Applications in Marketing and Customer Relationship Management 4 CHAPTER Some people find dataminingtechniques interesting...
... of Statistics: DataMining Using Familiar Tools 127 Looking at Discrete Values Much of the data used in datamining is discrete by nature, rather than contin-uous. Discrete data shows up in ... can be useful for several datamining techniques, such as clustering and neural net-works. Other uses of the z-value are covered in Chapter 17, which discusses data transformations. -2 -1 ... known. Most of the directed dataminingtechniques discussed in this book can be used to build a classification model to assign people to segments based on available data. All that is needed is...
... process.REFERENCES[1] Akeel Al-Attar, 1998, DataMining – Beyond Algorithms’, http://www.attar.com/tutor /mining. htm.[2] Berry, J. A. Michael; Linoff, Gordon, 1997, DataMining Techniques: For Marketing, Sales, ... of Data Set(training and test set)Filling theempty cellsMUSAFinal AnalysisIs the Data SetComplete?YesNoSelection of completequestionnaires CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES Nikolaos ... Analysis(Consistent family of criteria)Development of questionnaireSurveyMUSA Data Mining Search EnginesRule Induction Engine Data Mining GlobalSatisfaction PredicctionSatisfactionFunctionsPatterns...
... BASED DATAMINING TECHNIQUES The objective of datamining is to extract valuable information from one’s data, to discover the ‘hiddengold’. In Decision Support Management terminology, datamining ... one search for patterns of information in data (Parsaye, 1997).Figure 2: Rule Induction process Data miningtechniques are based on data retention and data distillation. Rule induction models ... process.REFERENCES[1] Akeel Al-Attar, 1998, DataMining – Beyond Algorithms’, http://www.attar.com/tutor /mining. htm.[2] Berry, J. A. Michael; Linoff, Gordon, 1997, DataMining Techniques: For Marketing, Sales,...
... Series data are modeled either to discover the effects of time or to look at how the data Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark.used for nonseries data ... main underlying “heartbeat” in the data. Smooth and filter until it seems clear. Extract it from the data. Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark. ... optimized mining toolset, could not deal with a multiterabyte, 7000+ variable data set required on one mining project. Another reason that high dimensionality presents difficulties for mining...
... Figure 11.10 At least two data sets are used when modeling: an input data set (left) and an output data set (right). Please purchase PDF Split-Merge on www.verypdf.com to remove this ... 11.4.1 Confidence and Sufficient Data A data set may be inadequate for mining purposes simply because it does not truly represent the population. If a data set doesn’t represent the population ... purchase PDF Split-Merge on www.verypdf.com to remove this watermark. Novelty detectors can also be used with enormously large data sets to help extract a more representative sample than the techniques...
... of DataMining 33 Table 2.1 DataMining Differs from Typical Operational Business Processes TYPICAL OPERATIONAL SYSTEM DATAMINING SYSTEM Operations and reports on Analysis on historical data ... of techniques to apply in a particular situation depends on the nature of the datamining task, the nature of the available data, and the skills and preferences of the data miner. Data mining ... that, on a technical level, the datamining effort is working and the data is reasonably accurate. This can be quite comforting. If the data and the dataminingtechniques applied to it are powerful...
... Applications and Trends in DataMining 64911.1 DataMining Applications 64911.1.1 DataMining for Financial Data Analysis 64911.1.2 DataMining for the Retail Industry 65111.1.3 DataMining for the Telecommunication ... Commercial DataMining Systems 66311.3 Additional Themes on DataMining 66511.3.1 Theoretical Foundations of DataMining 66511.3.2 Statistical DataMining 66611.3.3 Visual and Audio DataMining ... Motivated Data Mining? Why Is It Important? 11.2 So, What Is Data Mining? 51.3 DataMining On What Kind of Data? 91.3.1 Relational Databases 101.3.2 Data Warehouses 121.3.3 Transactional Databases...
... level data, 96 publications Building the Data Warehouse (Bill Inmon), 474 Business Modeling and DataMining (Dorian Pyle), 60 Data Preparation for DataMining (Dorian Pyle), 75 The Data ... Business Modeling and Data Mining, 60 Data Preparation for Data Mining, 75 470643 bindex.qxd 3/8/04 11:08 AM Page 619C Index 619 calculations, probabilities, 133–135 call detail databases, 37 call-center ... discussed, 7 Data Preparation for DataMining (Dorian Pyle), 75 The Data Warehouse Toolkit (Ralph Kimball), 474 data warehousing customer patterns, 5 for decision support, 13 discussed, 4 database...
... them. How DataMining Is Being Used Today This whirlwind tour of a few interesting applications of datamining is intended to demonstrate the wide applicability of the dataminingtechniques ... of DataMining 33 Table 2.1 DataMining Differs from Typical Operational Business Processes TYPICAL OPERATIONAL SYSTEM DATAMINING SYSTEM Operations and reports on Analysis on historical data ... the datamining solu-tion is more than just a set of powerful techniques and data structures. The techniques have to be applied in the right areas, on the right data. The virtuous cycle of data...
... in 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. ■■ Datamining assumes dependency ... 11:11 AM Page 159The Lure of Statistics: DataMining Using Familiar Tools 159 statisticians use similar techniques to solve similar problems, the datamining approach differs from the standard ... correct, we would need to know who was contacted as well as who responded. Data Mining and Statistics Many of the dataminingtechniques discussed in the next eight chapters were invented by statisticians...