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of data mining techniques

Application of data mining techniques in the prediction of coronary artery disease use of anaesthesia time series and patient risk factor data

Application of data mining techniques in the prediction of coronary artery disease use of anaesthesia time series and patient risk factor data

Luận văn báo cáo - ngoại ngữ

... Effect of dataset 151 6.7.2 Effect of pre-processing method and risk factor data 153 6.8 Comparison of Models for Prediction of corVD and anyVD 163 6.9 Effect of Non ... 5-6: Examples of ST/HR correlation based on raw time-series data (dataset A, upper section), outlier removed data (dataset B, mid section) and data with outliers removed and smoothed (dataset C, ... what features of an anaesthesia information management (AIM) database may be useful in the prediction of CVD Several prediction data mining methods are to be applied to datasets of timeseries...
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CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES

CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES

Kỹ năng bán hàng

... BASED DATA MINING TECHNIQUES The objective of data mining is to extract valuable information from one’s data, to discover the ‘hidden gold’ In Decision Support Management terminology, data mining ... REFERENCES [1] Akeel 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, ... Complete? Yes No Selection of complete questionnaires Separation of Data Set (training and test set) User Suggestions Selection of New Clusters MUSA Satisfaction Functions Data Mining Search Engines...
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Principles of data mining

Principles of data mining

Cơ sở dữ liệu

... boundaries of the data mining part of the process are not easy to state; for example, to many people data transformation is an intrinsic part of data mining In this text we will focus primarily on data ... basic principles of data mining The text should also be of value to researchers and practitioners who are interested in gaining a better understanding of data mining methods and techniques A familiarity ... boundaries between each of them and data mining At the boundaries, one person's data mining is another's statistics, database, or machine learning problem 1.2 The Nature of Data Sets We begin by...
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Tài liệu CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES ppt

Tài liệu CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES ppt

Quản trị kinh doanh

... BASED DATA MINING TECHNIQUES The objective of data mining is to extract valuable information from one’s data, to discover the ‘hidden gold’ In Decision Support Management terminology, data mining ... REFERENCES [1] Akeel 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, ... Complete? Yes No Selection of complete questionnaires Separation of Data Set (training and test set) User Suggestions Selection of New Clusters MUSA Satisfaction Functions Data Mining Search Engines...
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Tài liệu CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES pdf

Tài liệu CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES pdf

Quản trị kinh doanh

... Chair of Marketing at the University of Glasgow, Glasgow, UK 18/01/2006 -3- Ulrich Öfele Outline of the text Aim of the paper: development and validation of a scale for the measurement of customer ... (2) Do the results of this customer satisfaction survey of internationally franchised fast food establishments approximate the findings of the more sophisticated ACSI findings of the same fast ... about the relative service and product quality of each specific restaurant Measurement of the reliability of service quality at each store Identification of best practices that can be replicated elsewhere...
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Báo cáo khoa học:

Báo cáo khoa học: "a Summarization System Integration of Opinion Mining Techniques to Summarize Blogs" doc

Báo cáo khoa học

... pyramid f-score (fig 3) The length of the summaries is a ratio of the original documents length The quality of the summaries would be decreasing while the number of input sentences is increasing ... blogs is the noise due to the use of unusual language We had to clean the blogs in a pre-processing step: sentences with a ratio number of frequent words/total number of words below a given threshold ... that the quality of our summaries was very erratic We assume this is due to the length of our summaries, as the longest summaries are the ones which get the worst scores in terms of pyramid f-score...
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Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management - Second Edition

Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management - Second Edition

Tiếp thị - Bán hàng

... Insourcing Data Mining Building an Interdisciplinary Data Mining Group Building a Data Mining Group in IT Building a Data Mining Group in the Business Units What to Look for in Data Mining Staff Data Mining ... all of them How Data Mining Is Being Used Today This whirlwind tour of a few interesting applications of data mining is intended to demonstrate the wide applicability of the data mining techniques ... the data mining 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 mining...
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data mining techniques

data mining techniques

Chuyên ngành kinh tế

... Classification of Data Mining Systems 29 1.7 Data Mining Task Primitives 31 1.8 Integration of a Data Mining System with a Database or Data Warehouse System 34 1.9 Major Issues in Data Mining 36 vii ... Foundations of Data Mining 665 11.3.2 Statistical Data Mining 666 11.3.3 Visual and Audio Data Mining 667 11.3.4 Data Mining and Collaborative Filtering 670 Social Impacts of Data Mining 675 11.4.1 ... Motivated Data Mining? Why Is It Important? 1.2 So, What Is Data Mining? 1.3 Data Mining On What Kind of Data? 1.3.1 Relational Databases 10 1.3.2 Data Warehouses 12 1.3.3 Transactional Databases...
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John wiley sons data mining techniques for marketing sales_20 pptx

John wiley sons data mining techniques for marketing sales_20 pptx

Quản trị kinh doanh

... planned processes, proof -of- concept projects, 599 platforms, data mining, 527 point of maximum benefit, 101 point -of- sale data association rules, 288 scanners, as useful data source, 60 population ... house-hold level data, 96 publications Building the Data Warehouse (Bill Inmon), 474 Business Modeling and Data Mining (Dorian Pyle), 60 Data Preparation for Data Mining (Dorian Pyle), 75 The Data Warehouse ... Business Modeling and Data Mining, 60 Data Preparation for Data Mining, 75 Index Q quadratic discriminates, box diagrams, 200 quality of data, association rules, 308 question asking, data exploration,...
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John wiley sons data mining techniques for marketing sales_2 pptx

John wiley sons data mining techniques for marketing sales_2 pptx

Quản trị kinh doanh

... all of them How Data Mining Is Being Used Today This whirlwind tour of a few interesting applications of data mining is intended to demonstrate the wide applicability of the data mining techniques ... the data mining 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 mining ... describing an actual example of the application 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...
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John wiley sons data mining techniques for marketing sales_4 pdf

John wiley sons data mining techniques for marketing sales_4 pdf

Quản trị kinh doanh

... discussion is independent of the data Data Mining Applications mining techniques used to generate the scores It is worth noting, however, that many of the data mining techniques in this book can ... the profile The data mining challenge was to come up with a good definition of what it means to match the profile Who Fits the Profile? One way of determining whether a customer fits a profile ... models is the one step of the data mining process that has been truly automated by modern data mining software For that reason, it takes up relatively little of the time in a data mining project 77...
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John wiley sons data mining techniques for marketing sales_5 pdf

John wiley sons data mining techniques for marketing sales_5 pdf

Quản trị kinh doanh

... at data The Lure of Statistics: Data Mining Using Familiar Tools Looking at Discrete Values Much of the data used in data mining is discrete by nature, rather than contin­ uous Discrete data ... the data collected by scientists, most of which took the form of continuous measurements In data mining, we encounter continuous data less often, because there is a wealth of descriptive data ... volumes of data, data mining has the connotation of searching for data to fit preconceived ideas This is much like what politicians around election time—search for data to show the success of their...
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John wiley sons data mining techniques for marketing sales_6 ppt

John wiley sons data mining techniques for marketing sales_6 ppt

Quản trị kinh doanh

... not resemble another Data mining, on the other hand, must often consider the time component of the data Experimentation is Hard Data mining has to work within the constraints of existing business ... To determine which of these possibili­ ties is correct, we would need to know who was contacted as well as who responded Data Mining and Statistics Many of the data mining techniques discussed ... into statistical soft­ ware; they are extensions of standard statistics Although data miners and The Lure of Statistics: Data Mining Using Familiar Tools statisticians use similar techniques to solve...
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John wiley sons data mining techniques for marketing sales_8 ppt

John wiley sons data mining techniques for marketing sales_8 ppt

Quản trị kinh doanh

... parameters of the network Preparing the Data Preparing the input data is often the most complicated part of using a neural network Part of the complication is the normal problem of choosing the right data ... use of a credit card, or who will respond to an offer for a home equity line of credit—then the training set must have a sufficient number of examples of these rare events A random sample of available ... predict outcomes for unknown inputs Fortunately, data mining software now performs most of these steps auto­ matically Although an intimate knowledge of the internal workings is not nec­ essary,...
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John wiley sons data mining techniques for marketing sales_12 doc

John wiley sons data mining techniques for marketing sales_12 doc

Quản trị kinh doanh

... examples of clusters of size and in a deck of playing cards illustrate that there is no one correct clustering Often the first time K-means clustering is run on a given set of data, most of the data ... the lack of patterns, but the excess The data may contain so much complex structure that even the best data mining techniques are unable to coax out meaningful patterns When mining such a database ... as the types of outgoing calls, which can then be applied to data These patterns can be turned into new features of the data, for use in conjunction with other directed data mining techniques 347...
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John wiley sons data mining techniques for marketing sales_13 docx

John wiley sons data mining techniques for marketing sales_13 docx

Quản trị kinh doanh

... contain data on millions of customers and former customers Much of the statistical background of survival analysis is focused on extracting every last bit of information out of a few hundred data ... piece of machinery breaks down—conclusions are often based on no more than a few dozen failures In the world of customers, tens of thousands is the lower limit, since cus­ tomer databases often ... points In data mining applications, the volumes of data are so large that statistical con­ cerns about confidence and accuracy are replaced by concerns about manag­ ing large volumes of data The...
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John wiley sons data mining techniques for marketing sales_19 potx

John wiley sons data mining techniques for marketing sales_19 potx

Quản trị kinh doanh

... the testing of a variety of data mining techniques Chapter 16 has advice on selecting data mining software and set­ ting up a data mining environment One of the goals of the proof -of- concept project ... into dollars The best way to prove the value of data mining is with Putting Data Mining to Work A SUCCESSFUL PROOF OF CONCEPT? A data mining proof of concept project can be technically successful, ... provided by a software company or data mining consul­ tancy, or it can be constructed in-house as part of the pilot project The data mining environment is likely to consist of a data mining software...
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Description Data Mining Techniques For Marketing_2 pdf

Description Data Mining Techniques For Marketing_2 pdf

Cao đẳng - Đại học

... estimate of the worst error rate likely to be seen at a leaf The analogy works by thinking of the data at the leaf as representing the results of a series of trials each of which can have one of two ... actually a collection of rules If one of the purposes of the data mining effort is to gain understanding of the problem domain, it can be useful to reduce the huge tangle of rules in a decision ... This section includes examples of decision trees being used in all of these ways Decision Trees as a Data Exploration Tool During the data exploration phase of a data mining project, decision trees...
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Description Data Mining Techniques For Marketing_6 pdf

Description Data Mining Techniques For Marketing_6 pdf

Cao đẳng - Đại học

... In the course of a year, a decent-size chain of supermarkets will generate tens or hundreds of millions of transactions Each of these transactions consists of one or more items, often several ... relationships are all visible in data, and they all contain a wealth of informa­ tion that most data mining techniques are not able to take direct advantage of In our ever-more-connected world ... illustrate the power of graphs to represent and solve problems Few data mining problems are exactly like these two problems, but the problems give a flavor of how the simple construction of graphs leads...
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