1.

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دوره 6، شماره 0، مهر 1384
R. Mall؛ S. Dehuri

2.

abnormal data detection and learning their behavior by abnormality and satisficing theory

دوره 7، شماره 4، دی 2015، صفحه 825-844
Masood Abessi؛ Elahe Hajigol Yazdi

3.

Analyzing Customer Segmentation Based on Customer Value Components (Case Study: A Private Bank) (Technical note)

دوره 45، Special Issue، اسفند 2011، صفحه 79-93
Mahboubeh Khajvand؛ Mohammad Jafar Tarokh

4.

A New Approach to Customer Segmentation in the Fixed-line Telecom Using RFM Model

دوره 48، شماره 1، تیر 2014، صفحه 23-36
F. Isvand؛ M. Hosseini

5.

A New Hybrid Data Mining Technique to Forecast the Greenhouse Gases Emissions

دوره 56، شماره 1، فروردین 2022، صفحه 1-14
Hosein Khodami؛ Reza Kamranrad؛ Ehsan Mardan

6.

An Investigation on the User Behavior in Social Commerce Platforms: A Text Analytics Approach

دوره 12، شماره 4، 2020، صفحه 180-199
Amir Arzy؛ Mohammad Taghi Taghavifard؛ Zohreh Dehdashti Shahrokh؛ Iman Raeesi Vanani

7.

A Novel Approach for Multi Product Demand Forecast Using Data Mining Techniques (Empirical Study: Carpet Industry)

دوره 53، شماره 4، دی 2019، صفحه 169-184
Sayedmohammadreza Vaghefinezhad؛ Jafar Razmib؛ Fariborz Jolai

8.

A Novel Scheme for Improving Accuracy of KNN Classification Algorithm Based on the New Weighting Technique and Stepwise Feature Selection

دوره 12، شماره 4، 2020، صفحه 90-104
Saeid Sheikhi؛ Mohammad Taghi Kheirabadi؛ Amin Bazzazi

9.

BloomEclat: Efficient Eclat Algorithm based on Bloom filter

دوره 53، شماره 1، شهریور 2021، صفحه 197-208
sina abbasi؛ Ali Moieni

10.

Classification of Internet banking customers using data mining algorithms

دوره 6، شماره 1، تیر 2014، صفحه 71-90
Reza Radfar؛ Navid Nezafati؛ Saeid Yousefi Asli

11.

Designing a Model for Improving Banking Recommender Systems Based on Predicting Customers’ Interests: Application of Data Mining Techniques

دوره 8، شماره 2، مهر 2016، صفحه 393-314
Maryam sadat Motaharinejad؛ Mohammad Mahdi Zolfagharzadeh؛ Ehsan Khadangi؛ Ali Asghar Sadabadi

12.

Developing a Product Recommender System: Designing a Hybrid Model Using Data Mining Techniques

دوره 48، شماره 2، دی 2014، صفحه 257-280
Abbas Keramati؛ Roshanak Khaleghi

13.

Evaluation of Concrete Plants Readiness to Produce High Quality Concrete for Municipal Constructions Using Past Information

دوره 51، شماره 1، شهریور 2018، صفحه 1-16
Meghdad Mohammadian؛ Mohammad Shekarchi Zadeh

14.

Evaluation of Groundwater Vulnerability Using Data Mining Technique in Hashtgerd Plain

دوره 42، شماره 4، دی 1395، صفحه 35-41
Saman Javadi؛ S. Mehdy Hashemy

15.

Extracting Customer Behavior Pattern in a Telecom Company Using Temporal Fuzzy Clustering and Data Mining

دوره 9، شماره 3، 2017، صفحه 549-570
Mohammad Fathian؛ Ehsan Azhdari

16.

Familiarity with bioinformatics and its widely used words and expressions

دوره 20، شماره 1، خرداد 1399، صفحه 54-56
وحید دهقانیان ریحان

17.

Importance-Performance Analysis of Service Attributes based on Customers Segmentation with a Data Mining Approach: a Study in the Mobile Telecommunication Market in Yazd Province

دوره 4، شماره 13، فروردین 2013، صفحه 45-70
Seyed Yaghoub Hosseini؛ Manijeh Bahrainizadeh؛ Alireza Ziaei Bideh

18.

Mapping spatial patterns of plant species based on machine-learning and regression models

دوره 27، شماره 1، شهریور 2022، صفحه 167-181
H. Keshtkar؛ P. Pourmohammad

19.

Mining customer dynamics in designing customer segmentation using data mining techniques

دوره 6، شماره 1، تیر 2014، صفحه 1-30
lham Akhondzadeh-Noughabi؛ Amir Albadvi؛ Mohammad Aghdasi

20.

Model Design for Personnel Selection with Data Mining Approach (Case Study: A Commerce Bank of Iran)

دوره 2، شماره 4، دی 2010
Adel Azar؛ Parviz Ahmadi؛ Mohammad Vahid Sebt

21.

New Relative Permeability Correlations for Carbonate Reservoirs through Data-Driven Modeling

دوره 56، شماره 1، شهریور 2022، صفحه 15-35
Ehsan Bahonar؛ Yaser Ghalenoei؛ Sadegh Salmani

22.

Presenting a Text Mining Algorithm to Identify Emotion in Persian Corpus

دوره 10، شماره 2، 2018، صفحه 375-389
Masoud Garshasbi؛ Anahid Rais-Rohani؛ Mohammadreza Kabaranzadeh Ghadim

23.

Proposing a New Method for Customer Segmentation Based on Their Level of Loyalty and Defining Appropriate Strategies for Each Segment

دوره 8، شماره 1، تیر 2016، صفحه 101-122
Samira KHodabandehlou؛ Ali Akbar Niknafs

24.

Providing a Framework for Reforming Premium Rates of Vehicle Collision Coverage with Using Neural Networks Model (A Case Study of Asia Insurance Company)

دوره 8، شماره 4، دی 2016، صفحه 711-732
Mohammad Saleh Torkestani؛ Arman Dehpanah؛ Mohammad Taghi Taghavifard؛ Shahram Shafiee

25.

Providing a New Approach for Segmenting Customers Based on Their Purchasing Behavior Change over Time in Electronic Business

دوره 9، شماره 2، 2017، صفحه 277-300
Samira KHodabandehlou؛ Mahmoud Zivari Rahman

اولین صفحه صفحه قبل 1 2 3 صفحه بعد آخرین صفحه


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