data mining techniques and applications hongbo du pdf
Tài liệu CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES pdf
Ngày tải lên :
22/12/2013, 02:17
... competitive, sports, book, health care, other
retail and government industries (cross industrial)
Results: Service Components
Æ Personal Service (SatPers) and Service Setting (SatSett)
International ... cross cultural analysis
Managerial implications and recommendations
Style: scientific and statistical
-7-
18/01/2006
Ulrich Öfele
3. Methodology and Instruments:
Customer Satisfaction Survey ... paper:
development and validation of a scale for the
measurement of customer satisfaction within the
international fast food industry
Cross-cultural investigation of fast food industry
Examines...
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Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management - Second Edition
Ngày tải lên :
07/04/2014, 11:16
... of techniques to
apply in a particular situation depends on the nature of the data mining task,
the nature of the available data, and the skills and preferences of the data
miner.
Data mining ... By data mining, of
course!
How Data Mining Was Applied
Most data mining methods learn by example. The neural network or decision
tree generator or what have you is fed thousands and thousands ... that, on a technical level, the data mining effort is working and
the data is reasonably accurate. This can be quite comforting. If the data and
the data mining techniques applied to it are powerful...
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high performance data mining scaling algorithms, applications, and systems
Ngày tải lên :
01/06/2014, 09:18
... J., To, H.W., and
Yang, D. Large scale data mining: Challenges and responses. Proc. of the Third Int’l Conference on Knowledge
Discovery and Data Mining.
Goil, S., Alum, S., and Ranka, S. ...
performance and wide area data mining systems for over ten years. More recently, he has
worked on standards and testbeds for data mining. He has an AB in Mathematics from
Harvard University and a ... the data mining group in the centre. He has been working on distributed data mining
algorithms and systems development. He is also working on network infrastructure for
global wide data mining...
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John wiley sons data mining techniques for marketing sales_4 pdf
Ngày tải lên :
21/06/2014, 04:20
... 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 been ... 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 data mining techniques interesting ... relationships suggest new hypotheses to test
and the data mining process begins all over again.
Lessons Learned
Data mining comes in two forms. Directed data mining involves searching
through historical...
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John wiley sons data mining techniques for marketing sales_5 pdf
Ngày tải lên :
21/06/2014, 04:20
... for prospects and, because it is behavioral in nature rather than sim-
ply geographic and demographic, it is more predictive. Data mining is used to
identify additional products and services ... of 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 ... statisticians and data min-
ers. Our goal is to demonstrate results that work, and to discount the null
hypothesis. One difference between data miners and statisticians is that data
miners are...
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Description Data Mining Techniques For Marketing_2 pdf
Ngày tải lên :
21/06/2014, 21:20
...
Watch the game and home team wins and out with friends then beer.
Watch the game and home team wins and sitting at home then diet soda.
Watch the game and home team loses and out with friends ... 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 are a
useful tool for picking ... com-
ponent of SPSS’s Clementine data mining suite to forecast diesel engine sales
based on historical truck registration data. The goal was to identify individual
owner-operators who were likely...
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Description Data Mining Techniques For Marketing_6 pdf
Ngày tải lên :
21/06/2014, 21:20
... Call duration
■■ Time and date
Although the analysis did not use the account number, it plays an important
role in this data because the data did not otherwise distinguish between busi-
ness and ...
soda, and window cleaner, the first step calculates the counts for each of these
items. During the second step, the following counts are created:
■■ Milk and detergent, milk and soda, milk and ... other cases, the
links are implicit and part of the data mining challenge is to recognize them.
The chapter begins with a brief introduction to graph theory and some of
the classic problems that...
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Description Data Mining Techniques For Marketing_12 pdf
Ngày tải lên :
21/06/2014, 21:20
... analy-
sis module, is fed by data from the customer interaction module, and it, in
turn, supplies rules to both the business data definition module and the cus-
tomer interaction module.
Merchandising ... this requires a data mining group and the infrastructure to
support it.
The Data Mining Group
The data mining group is specifically responsible for building models and
using data to learn about ... of data mining by allowing new knowledge discovered through
data mining to be fed directly to the systems that interact with customers.
Data Mining Software
One of the ways that the data mining...
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Scanning Microscopy for Nanotechnology Techniques and Applications pdf
Ngày tải lên :
27/06/2014, 10:20
... (BSE), and yield a useful signal for imaging the sample. Inelastic
scattering occurs through a variety of interactions between the incident electrons
and the electrons and atoms of the sample, and ... been used for more than 70 years, and their reliabil-
ity and low cost encourage their use in many applications, especially for low mag-
nification imaging and x-ray microanalysis [3]. The most ... 113,
tetramethylsilane (TMS), and PELDRI II, are sometimes employed for air drying
because they reduce high surface tension forces that cause collapse and shrinking
of cells and their surface features....
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Data Mining Concepts and Techniques phần 1 potx
Ngày tải lên :
08/08/2014, 18:22
... Mining 667
11.3.4 Data Mining and Collaborative Filtering 670
11.4 Social Impacts of Data Mining 675
11.4.1 Ubiquitous and Invisible Data Mining 675
11.4.2 Data Mining, Privacy, and Data Security ... Commercial Data Mining Systems 663
11.3 Additional Themes on Data Mining 665
11.3.1 Theoretical Foundations of Data Mining 665
11.3.2 Statistical Data Mining 666
11.3.3 Visual and Audio Data Mining ... object-relational databases and
specific application-oriented databases, such as spatial databases, time-series databases,
text databases, and multimedia databases. The challenges and techniques of mining...
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Data Mining Concepts and Techniques phần 2 ppsx
Ngày tải lên :
08/08/2014, 18:22
... 97
2.7
Summary
Data preprocessing is an important issue for both data warehousing and data mining,
as real-world data tend to be incomplete, noisy, and inconsistent. Data preprocessing
includes data cleaning, ... approximation of the original data.
PCA is computationally inexpensive, can be applied to ordered and unordered
attributes, and can handle sparse data and skewed data. Multidimensional data
of more than ... (inclusive).
2.3 Data Cleaning 65
2.3.3 Data Cleaning as a Process
Missing values, noise, and inconsistencies contribute to inaccurate data. So far, we have
looked at techniques for handling missing data and...
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Data Mining Concepts and Techniques phần 3 docx
Ngày tải lên :
08/08/2014, 18:22
... processing, and data
mining. We also introduce on-line analytical mining (OLAM), a powerful paradigm that
integrates OLAP with data mining technology.
3.5.1 Data Warehouse Usage
Data warehouses and data ... Warehouse and OLAP Technology: An Overview
3.5
From Data Warehousing to Data Mining
“How do data warehousing and OLAP relate to data mining? ” In this section, we study the
usage of data warehousing ... Chapter 3 Data Warehouse and OLAP Technology: An Overview
data by OLAP operations), and data mining (which supports knowledge discovery).
OLAP-based data mining is referred to as OLAP mining, or...
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Data Mining Concepts and Techniques phần 4 potx
Ngày tải lên :
08/08/2014, 18:22
... include data cube–based data aggregation and attribute-
oriented induction.
From a data analysis point of view, data generalization is a form of descriptive data
mining. Descriptive data mining ... mining describes data in a concise and summarative manner
and presents interesting general properties of the data. This is different from predic-
tive data mining, which analyzes data in order to ... statistical descriptive
data mining methods include Cleveland [Cle93] and Devore [Dev95]. Generalization-
based induction techniques, such as learning from examples, were proposed and
studied in the...
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Data Mining Concepts and Techniques phần 5 ppt
Ngày tải lên :
08/08/2014, 18:22
... therefore becomes inefficient due to swapping of the training tuples in
and out of main and cache memories. More scalable approaches, capable of handling
training data that are too large to fit ... Classification by Decision Tree Induction 309
Figure 6.10 The use of data structures to hold aggregate information regarding the training data (such as
these AVC-sets describing the data of Table 6.1) are ... scalability.
While both SLIQandSPRINThandle disk-resident data sets thatare too large to fit into
memory, the scalabilityof SLIQ islimited by the useof its memory-residentdatastructure.
SPRINT removes...
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