data mining techniques classification and prediction
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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CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES
Ngày tải lên :
22/10/2013, 09:15
... shipping
sector. 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 can be successfully ... 1998, ‘A data mining application for issuing predictions, summarizing the data and
revealing interesting phenomena’, http://www.wizsoft.com/why.html.
[7] Mihelis G.; Grigoroudis E.; and Siskos ... A. Michael; Linoff, Gordon, 1997, Data Mining Techniques: For Marketing, Sales, and
Customer Support’, John Wiley & Sons, Inc., Canada.
[3] Deschamps J.P. and P. Ranganath Nayak, 1995, ‘Product...
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Tài liệu CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES ppt
Ngày tải lên :
11/12/2013, 23:15
... 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 ... one search for patterns of information in data (Parsaye, 1997).
Figure 2: Rule Induction process
Data mining techniques are based on data retention and data distillation. Rule induction models ... shipping
sector. 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 can be successfully...
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Tài liệu CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES pdf
Ngày tải lên :
22/12/2013, 02:17
... cross cultural analysis
Managerial implications and recommendations
Style: scientific and statistical
-7-
18/01/2006
Ulrich Öfele
3. Methodology and Instruments:
Customer Satisfaction Survey ... service quality and enhance growth
through increased consumerism
-2-
18/01/2006
Ulrich Öfele
Overview
:
1. Authors and outline of the text
2. Research objectives
3. Methodology and Instruments
4. ... of same methods with which SatPers and
SatSett were originally derived
Restaurants: Burger King, Checkers, Kentucky Fried
Chicken, McDonald’s Taco Bell and Wendy’s (cross national)
Questions...
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investigative data mining for security and criminal detection 2003
Ngày tải lên :
04/06/2014, 13:16
... the
data mining analysis. In this chapter we will discuss the closed and open sources of data available
both online and offline and how to integrate and prepare the data prior to its analysis.
Data ... voicemail, and e-mail. Coupled with data mining techniques, this
expanded ability to access multiple and diverse databases will allow the expanded ability to predict
crime.
Security and risk involving ... potential data
sources for
enhancing the value of an investigative data mining analysis. Users of data mining tools and
techniques from industries in financial services, retailing, marketing, and...
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data mining techniques
Ngày tải lên :
08/06/2014, 11:28
... Applications and Trends in Data Mining 649
11.1 Data Mining Applications 649
11.1.1 Data Mining for Financial Data Analysis 649
11.1.2 Data Mining for the Retail Industry 651
11.1.3 Data Mining for ... 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...
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DATA MINING IN BANKING AND FINANCE: A NOTE FOR BANKERS pdf
Ngày tải lên :
20/06/2014, 14:20
... Chun, Se-Hak and Kim, Steven, Data mining or financial prediction and trading: application
to single and multiple markets (2003)
• J. M. Zytkow and W. Klösgen, Handbook of Data Mining and Knowledge ... portfolio risk to market and credit risk
Models through data mining
9
Data mining techniques are used to discover hidden knowledge, unknown patterns
and new rules from large data sets, which maybe ... their behaviour and interaction with
overall market. Many of this can only be built by using various data mining
1
J. M. Zytkow and W. Klösgen, Handbook of Data Mining and Knowledge Discovery....
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John wiley sons data mining techniques for marketing sales_20 pptx
Ngày tải lên :
21/06/2014, 04:20
... 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 ...
Business Modeling and Data Mining, 60
Data Preparation for Data Mining, 75
470643 bindex.qxd 3/8/04 11:08 AM Page 619
C
Index 619
calculations, probabilities, 133–135
call detail databases, 37 ...
discussed, 7
Data Preparation for Data Mining
(Dorian Pyle), 75
The Data Warehouse Toolkit (Ralph
Kimball), 474
data warehousing
customer patterns, 5
for decision support, 13
discussed, 4
database...
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John wiley sons data mining techniques for marketing sales_2 pptx
Ngày tải lên :
21/06/2014, 04:20
... 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 ... 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...
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