پایان نامه رایگان با موضوع CRM

Segmentation
6 Self-Organisation Map
7 K-Means
8 Apple Center of Iran
9 Sum of the Squared Error
10 Tabaei & Fathian
11 Customers Profile
12 Transaction Data Base
13 Demographic
14 Self-Organization Map
15 Customer Relationship Management
16 Berson
17 Malthouse & Mulhern
18 Anton & Hoek
19 Brown
20 Chatterjee
21 Feinberg & Kadam
22 Stone
23 Brand Loyalty
24 Operational CRM
25 Analytical CRM
26 Portal
27 Pattern Discovery Association Rules
28 Sequential Pattern
29 Clustering
30 Customer Evaluation
31 Online
32 Online Chat Room
33 Collaborative CRM
34 Call Center
35 Rygielski
36 Fayyad
37 Knowledge Discovery in Database
38 Data Cleaning
39 Data Integration
40 Data Selection
41 Data Transformation
42 Data Mining
43 Pattern Evaluation
44 Knowledge Presentation
45 Neaga & Harding
46 Predictive data mining
47 Descriptive data mining
48 Classification
49 Neural Network
50 Decision Trees
51 Linear Regression
52 Logistic Regression
53 Time Series
54 Descriptive Data Mining
55 Summarization
56 Association Rules
57 Unsupervise
58 Clustering
59 Prasad
60 Stuart Lloyd
61 Kucukkan cabas
62 Chai & Chan
63 Jonker
64 Lee
65 Hwang
66 Kim
67 Chai & Chan
68 Stone
69 Hsieh
70 Chang
71 Sheu
72 MacCarty
73 Cheng
74 Hwang
75 Demographic
76 Customer Lifetime Value
77 RFM (Recency, Frequency, monetary)
78 Recency
79 Frequency
80 Monetary
81 Kohonen
82 Brian
83 Seo
84 Jin
85 Fonseca
86 Zampighi
87 Mohamad Khaled
88 Jounela
89 Yamada
90 Abonyi
91 Kate
92 Yeo
93 Bonifacio
94 Bonabeau
95 Chena
96 Ezequiel
97 Shanmuganathan
98 Melody
99 Lendasse
100 Moshou
101 Han
102 Chang
103 Olson
104 Learning rule
105 Cios
106 Competition
107 Cooperation
108 Adaption
109 Laros
110 Kim
111 Chen
112 McCarty
113 Hastak
114 Email
115 Digiturk
116 Saglam
117 Hsieh
118 Cheng & Chen
119 Rough Set
120 Chang hua
121 Chan
122 Lee & Park
123 Chang
124 Stone
125 Sheu
126 Lee
127 Two-Phase Approach (TPA)
128 MCFA: Multi-Group Confirmatory Factor Analysis
129 hwang
130 Support Vector Clustering (SVC)
131 Kim & Ahn
132 Genetic Algorithms
133 Hung & Tsai
134 Hierarchical Self-Organizing Segmentation Model (HSOS)
135 Life time value
136 Size of Wallet (SOW)
137 Share of Wallet (SW)
138 Johnson
139 Du & Kamakura
140 RFM (Recency, Frequancy, Monetary)
141 Past Customer Value
142 Life Time Value
143 Stone
144Kumar & Reinartz
145 Hidalgo
146 Khajvand
147 Tarokh
148 Liu & Shih
149 Cheng & Chen
150 Cheng & Tsai
151 Analytic Hierarchy Process
152 SPSS Clementine
153 Wena
154 Missed data
155 R (Recency)
156 F (Frequency)
157 M (Monetory)
158 Customers Profile
159 Transaction Data Base
160 Demographic
161 Self-Organization Map
162 Sum of the Squared Error
163AHP
164 Bertolini
165 Consistency Ratio
166 Normal Comparisons Matrix
167 Consistency Ratio (CR)
168 Weighted Sum Vector (WSV)
169 Consistency Vector (CV)
170 Consistency Index (CI)
171 Consistency Ratio (CR)
172 Random Index (RI)
173 Panj & Stewart
174 Kuo
175 Boone and Roehm
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