data mining techniques by michael berry and gordon linoff pdf download
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 ... cam-
paign by allowing fewer prospects to be contacted.
How did the mobile phone company get such scores? By data mining, of
course!
How Data Mining Was Applied
Most data mining methods learn by ... 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
... 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 ... of Data Set
(training and test set)
Filling the
empty cells
MUSAFinal Analysis
Is the Data Set
Complete?
Yes
No
Selection of complete
questionnaires
CUSTOMER SATISFACTION USING DATA MINING
TECHNIQUES
Nikolaos ... 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...
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Tài liệu CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES ppt
Ngày tải lên :
11/12/2013, 23:15
... 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 ... 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...
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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 ... which SatPers and
SatSett were originally derived
Restaurants: Burger King, Checkers, Kentucky Fried
Chicken, McDonald’s Taco Bell and Wendy’s (cross national)
Questions asked by student teams ... 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....
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Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining pdf
Ngày tải lên :
15/03/2014, 09:20
... Specific-to-general
Data Mining
Association Analysis: Basic Concepts
and Algorithms
Lecture Notes for Chapter 6
Introduction to Data Mining
by
Tan, Steinbach, Kumar
â Tan,Steinbach, Kumar Introduction to Data ... to Data Mining 49
Effect of Support Distribution
Many real data sets have skewed support distribution
Support
distribution of
a retail data set
© Tan,Steinbach, Kumar Introduction to Data Mining ... may decouple the support and confidence requirements
© Tan,Steinbach, Kumar Introduction to Data Mining 16
Reducing Number of Comparisons
Candidate counting:
–
Scan the database of transactions...
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Data Mining Association Rules: Advanced Concepts and Algorithms Lecture Notes for Chapter 7 Introduction to Data Mining docx
Ngày tải lên :
15/03/2014, 09:20
... Introduction to Data Mining 23
Multi-level Association Rules
How do support and confidence vary as we traverse
the concept hierarchy?
–
If X is the parent item for both X1 and X2, then
σ(X) ... 0.33 0.00 0.33
Normalize
© Tan,Steinbach, Kumar Introduction to Data Mining 31
Sequential Pattern Mining: Definition
Given:
–
a database of sequences
–
a user-specified minimum support threshold, ... are found
Candidate Generation:
ã
Merge pairs of frequent subsequences found in the (k-1)th pass to
generate candidate sequences that contain k items
Candidate Pruning:
ã
Prune candidate k-sequences...
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Data Mining Cluster Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 8 Introduction to Data Mining pot
Ngày tải lên :
15/03/2014, 09:20
... clusters are irregular or intertwined,
and when noise and outliers are present.
6 density-based clusters
© Tan,Steinbach, Kumar Introduction to Data Mining 34
Handling Empty Clusters
Basic K-means ... Tan,Steinbach, Kumar Introduction to Data Mining 42
Limitations of K-means: Non-globular Shapes
Original Points
K-means (2 Clusters)
© Tan,Steinbach, Kumar Introduction to Data Mining 13
Types of Clusters: ... Introduction to Data Mining 5
Notion of a Cluster can be Ambiguous
How many clusters?
Four Clusters Two Clusters
Six Clusters
© Tan,Steinbach, Kumar Introduction to Data Mining 41
Limitations...
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Data Mining Cluster Analysis: Advanced Concepts and Algorithms Lecture Notes for Chapter 9 Introduction to Data Mining pot
Ngày tải lên :
15/03/2014, 09:20
... Data Mining 11
Sparsification in the Clustering Process
© Tan,Steinbach, Kumar Introduction to Data Mining 22
Experimental Results: CHAMELEON
© Tan,Steinbach, Kumar Introduction to Data Mining ... cluster the data
is drastically reduced
–
The size of the problems that can be handled
is increased
© Tan,Steinbach, Kumar Introduction to Data Mining 35
SNN Clustering Can Handle Other ...
–
Chameleon and Hypergraph-based Clustering
© Tan,Steinbach, Kumar Introduction to Data Mining 19
Experimental Results: CHAMELEON
© Tan,Steinbach, Kumar Introduction to Data Mining 12
Limitations...
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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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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 ... cam-
paign by allowing fewer prospects to be contacted.
How did the mobile phone company get such scores? By data mining, of
course!
How Data Mining Was Applied
Most data mining methods learn by ... reports
System of record for data Copy of data
Descriptive and repetitive Creative
First, problems being addressed by data mining differ from operational
problems—a data mining system does not seek...
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John wiley sons data mining techniques for marketing sales_4 pdf
Ngày tải lên :
21/06/2014, 04:20
... 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 ... 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 ... 75
Data Mining Methodology and Best Practices 75
like. Data preparation is such an important topic that our colleague Dorian
Pyle has written a book about it, Data Preparation for Data Mining...
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