List of Articles داده¬کاوی

• Open Access Article
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  1 - Providing a suitable method for categorizing promotional e-mails based on user profiles
  Mohammad fathiyan rahim hazratgholizadeh
  In general, the definition of spam is related to the consent or lack of consent of the recipient, not the content of the e-mail. According to this definition, problems arise in the classification of electronic mails in marketing and advertising. For example, it is possi More

  In general, the definition of spam is related to the consent or lack of consent of the recipient, not the content of the e-mail. According to this definition, problems arise in the classification of electronic mails in marketing and advertising. For example, it is possible that some promotional e-mails are spam for some users and not spam for others. To deal with this problem, personal anti-spams are designed according to the profile and behavior of users. Usually, machine learning methods are used with good accuracy to classify spam. But in any case, there is no single successful method based on the point of view of e-commerce. In this article, first, a new profile is prepared to better simulate the behavior of users. Then this profile is presented to students along with emails and their responses are collected. In the following, well-known methods are tested for different data sets to categorize electronic mails. Finally, by comparing data mining evaluation criteria, neural network is determined as the best method with high accuracy. Manuscript profile
• Open Access Article
  • Abstract Page
  • Full-Text
  
  2 - ۹۳ / ۵٬۰۰۰ Integration of data envelopment analysis model and decision tree in order to evaluate units based on information technology
  Amir Amini علی رضا علی نژاد سمیه  شفقی¬زاده
  Every organization needs an evaluation system to measure this usefulness in order to know the performance and usefulness of its units, and this issue is more important for financial institutions, including companies based on information technology. Data envelopment anal More

  Every organization needs an evaluation system to measure this usefulness in order to know the performance and usefulness of its units, and this issue is more important for financial institutions, including companies based on information technology. Data envelopment analysis is a non-parametric method for measuring the efficiency and productivity of decision making units (DMUs). On the other hand, data mining techniques allow DMUs to explore and discover meaningful information, which was previously hidden in large databases. This paper proposes a general framework combining data envelopment analysis with regression trees to evaluate the efficiency and productivity of DMUs. The result of the hybrid model is a set of rules that can be used by policy makers to discover the reasons for efficient and inefficient DMUs. As a case study using the proposed method to investigate the factors related to productivity, a sample including 18 branches of Iranian insurance in Tehran was selected and after modeling based on the advanced input-oriented LVM model with poor accessibility in data coverage analysis with Undesirable output was calculated and with the decision tree technique, rules are extracted to discover the reasons for productivity increase and productivity regression. Manuscript profile