List of Articles داده¬کاوی

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  1 - Presenting a model for extracting information from text documents, based on text-mining in the field of e-learning
  AhmadAgha kardan Mina Kaihani nejad
  ۱٬۵۸۱ / ۵٬۰۰۰ When computer networks became the mainstay of science and economics, a large amount of documentation became available. For this purpose, text mining methods are used to extract useful information. Text mining is an important research field in discovering More

  ۱٬۵۸۱ / ۵٬۰۰۰ When computer networks became the mainstay of science and economics, a large amount of documentation became available. For this purpose, text mining methods are used to extract useful information. Text mining is an important research field in discovering unknown information, hypotheses, and new facts by extracting information from various documents. Also, text mining is revealing hidden information using a method that shows the ability to deal with a large number of words and structures in natural language on the one hand, and allows the management of ambiguity and doubt on the other hand. In addition, text mining is defined as data mining of text, which is equivalent to text analysis and deals with the process of extracting information from text and extracting high quality information from patterns and processes. It is also known as text data mining or knowledge discovery from text databases and is defined as the process of extracting patterns or knowledge from text documents. The research method in this work is as follows: firstly, the research conducted in the field of text mining was investigated with an emphasis on its methods and applications in electronic education. During these studies, related researches were classified in the field of e-learning. After classifying the researches, issues and solutions related to the issues raised in those works were extracted. In this regard, in this article, the definition of text mining will be discussed first. Then the process of text mining and the fields of application of text mining in e-learning are examined. In the following, text mining methods are introduced and each of these methods is discussed in the field of electronic education. At the end, while deducing the important points of the conducted studies, a model for extracting information for the use of text mining methods in e-learning is proposed. Manuscript profile
• Open Access Article
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  2 - Providing a suitable method for categorizing promotional e-mails based on user profiles
  Mohammad fathiyan rahim hazratgholizadeh
  20.1001.1.27170411.1395.8.27.1.7
  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
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  3 - 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
  20.1001.1.27170411.1395.8.27.5.1
  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