Daily precipitation, which is completely stochastic, is one of the basic components of the water cycle and has an important role in the management of surface and ground water resources in terms of quantity and quality. Indispensable element of drought analysis and flood control research is precipitation. The efficient management of surface water resources directly depends on precipitation. The lack of long-term and reliable data has made it difficult to determine precipitation behavior. In this study, we tried to determine the behavior and pattern of precipitation through human-data interaction called visual data mining approach. One of the new approaches that focuses on the use of visualization and graphics in the analysis of complexities in data is visual data mining. Visual data mining can be thought of as a combination of two disciplines, visualization and data mining. Visual data mining is also closely related to computer graphics, multimedia systems, human-computer interaction, pattern recognition, and high-performance computing. The aim of this study is to analyze Tabriz daily precipitation data and discover the patterns in this data with the help of visual data mining approaches. Discovering these patterns and identifying rainfall behavior will help to manage floods on the one hand and droughts on the other.

In this study, daily precipitation and temperature data of Tabriz Synoptic Station for the last seventy one years (1951-2021) were used to determine precipitation patterns. Tabriz has a generally cold climate as the center of the eastern Azerbaijan province and is surrounded by mountains. Recently, with the increase in data and software, data mining techniques have also started to attract attention. Data alone cannot mean anything. However, graphs consisting of data can give very meaningful information and messages. Visual data mining approach is an effort to bring data to life with different graphics. In this research, various softwares such as R, ArcGIS and Tableau were used for visualization. In addition, ExcelStat was used to check the accuracy of the data and for statistical tests. R statistical language was used to create the data mining structure and to display the data graphically. Then, different diagrams were drawn using the Tableau program. Finally, the drawn diagrams were evaluated and the final graphics were selected. ArcGIS software was used for spatial analysis and map drawing. Also, multiple linear regression method was used to predict precipitation amount and probability of occurrence.

According to the temperature histogram, the long-term average annual temperature in Tabriz varies between 12 and 13 degrees Celsius. Also, according to the precipitation histogram, precipitation over 5 mm in Tabriz varies between 10 and 20 days per year on average. The results obtained showed that there has been a change in precipitation patterns in the last 5 years (2017-2021). Although annual precipitation during these five years is above the 71-year average, it is still below the golden precipitation period (1961 to 1970). The results showed that the intensity of spring rains decreased significantly in Tabriz during the period 2006-2021. However, from 1971 to 1980 and from 2001 to 2010, it was observed that the spring rains were more in terms of both precipitation values and precipitation intensity. However, in the following periods from 2011 to 2021, both precipitation intensity and precipitation values decreased. The results showed that most of the spring precipitation in 1981 was 276.3 mm, making up 73.26% of the total precipitation for that year. According to the findings, precipitation has started to decrease in the spring season in recent periods. Decreased dry grain yield in the Azerbaijan region may be affected by decreased spring precipitation. As a result of this decrease, it is expected that the agricultural economy in the study area will be negatively affected.

In this study, as a first, daily precipitation in Tabriz was investigated with visualized data mining techniques. Thus, interesting findings were obtained with the help of different graphics. The results showed an increase in precipitation in the last 5-6 years. It has also been proven that the temperature behavior during this period shows an increase in average temperature, a confirmation of the increase in global temperature. Although the results of this research showed that visualized data mining is successful in precipitation analysis, it is recommended to conduct more comprehensive studies in this field in the future.

The survey employs deep log analysis techniques, a more sophisticated form of transaction log analysis, and Data mining algorithms (Association Rules) to demonstrate what usage data can unfold about information seeking behavior of Information center of UTS University in Australia. To meet this goal, we work with the raw server log data which had been gathered on the server. The information seeking behavior of nearly several millions of users is analyzed in respect to the extent to which they penetrate the site, the number of visits made, as well as the type of items and content they viewed or downloaded and when they connected to the web site. The users are broken down by their field of study, geographical location, type of databases they used, the number of items viewed in a session and type of products downloaded. This Article will offer a good knowledge about how IT managers can make their decision to subscribe Databases or change their policy in a better way.

Nowadays, in environmental planning and management, the approach to protect visually diverse landscapes has been an important component in planning decisions. Visual quality analysis is a method to determine the visual quality and visual preferences of the landscape, by correlating its physical characteristics with perceptual parameters, whereby it is possible to demonstrate the visual potential of a field by converting qualitative definitions into quantitative data. The visual quality of the landscape is widely considered as an important resource worth preserving. Despite making a great effort to determine the factors that guide aesthetic preferences, the consensus in the judgments of people is neglected in most of such surveys. This study examines various types of landscape characters in Altınsaç and Inkoy Regions (Gevaş/Van) with spatial heterogeneity, because of the region’s topographic structure and location. The characteristic structure of the region consists of mountains, lakes, forests, natural vegetation landscapes, and wildlife as natural landscapes. Also, road, rural settlement, agricultural landscapes, and historical structures are considered as cultural landscapes. In order to determine the participants’ visual preferences of various landscape types with perceptual parameters, this study focused on consensuses through the Apriori algorithm, which is a data mining tool. Giving reference to define perceptual parameters, a survey with 202 participants was conducted using 9 different landscape character types selected. With questions about the appreciation of the beauty of the landscape scene, the consensuses on the landscape and its relationship with perceptual parameters, such as mysteriousness, typicality, vitality, safety, impressiveness, silence, perspective, degradation, and worth being protected, were examined. It was proven that the higher the visual quality of the landscape, the higher was the observers’ consensus rate. Some suggestions and objectives are presented, based on the data derived from this study.

Fraud is normal penman in business main object of this paper, is investigation data mining & financial fraud based on financial ratios.
The results paper indicate that, data mining technique for financial fraud is suitable. Also, this technique as core of manager think for business management at fraud.

The aim of the research is to analyze the critical discourse in the Qajar and Islamic Republic emblems based on the relationship between emblem and discourse. The research method is descriptive-analytic and the analysis approach is critical discourse. National emblems are the visual dimension of political discourses. The differences of emblems as a part of the discourse or the visual effect of a discourse may return to the specific way of that visual effect or be interpreted as a certain political tendency. Discourses consistent with the symbol of the lion and sun are patrimonial, royal, and national identity discourses based on historical past and religious identity. This emblem is indicative of the ideals of ideological traditionalists, as an attractive visual aspect of religious discourse. In this way, any emblem that represents the visual dimension of the discourse of Sunnis or other religious minorities is removed, or rejected by displaying this symbol in the ministries, press, publications, etc. The discourse of the Islamic Revolution is a reaction to the absolute modernism of the Pahlavi period. The discourses that arose in the Islamic revolution included strategies and conflicts such as class struggle, exploitation, and struggle against imperialism and colonialism. This discourse resists the field of power that the Orientalist and Middle Eastern discourse that Westerners create. The comparison of the Qajar and Islamic Republic emblems shows the difference in their attitude in choosing the type of governance. The Qajar rule wants to dominate the empire and the other wants to spread Islamic rule all over the world.

In recent years, educational data mining has been very popular in the field of higher education due to the large amount of data and the difficulty of analyzing the results. Summarizing teachers' opinions about textbooks is also one of the main challenges in deciding whether or not to reprint books. This study intends to evaluate the professional ethics textbook written for centralized exam students by using a semi-automatic text extraction method. In this article, the results of the completed questionnaire of the professional ethics Textbook have been analyzed by 47 instructors of this course, regarding the descriptive question about printing / non-reprinting using text mining technique.This research has been used using "Farsiyar" text mining software and Python coding, as well as methods of extracting text keywords, automatic text summarization, thematic modeling (identifying collection of texts) and finally drawing meta-words to analyze the submitted comments.Findings indicate that the topic modeling method used to identify the topics of the text collection and the method of drawing meta-words that provided a visual form of textual comments were more appropriate than other methods in this study. Reprinting is recommended by rewriting and re-editing this book.

nowadays, a huge amount of available information on the web is text documents and articles. Text mining is a way to extract unstructured and semi-structured information from this available information on the Internet and Also, mining process of the text of knowledge and unknown, incomprehensible and potential patterns among the multitude of datasets. This research is a type of library studies. Although text mining methods are mostly based on Latin sources, but by searching Persian databases, we have found over the past decade, the subject of text mining has become doubly important for Iranian researchers, especially students of computer science and information technology; So that a significant part of the conference papers related to computer science and technology are articles related to this field. Research findings show that text mining is an application of data mining and the main difference between them is : the extraction of patterns from text with natural language in text mining, while data mining operates on structured databases. Text mining processes have two main phases: document preprocessing and knowledge extraction. So far, eight techniques have been introduced for text mining which are: Information extraction, information retrieval, text summarization, classification, clustering, visualization, natural language processing and belief mining. In recent years, much attention has been paid to text mining in the international and national spheres. The dramatic increase in textual data has prompted researchers to look for ways to explore this data. Naturally, Iranian researchers have been no exception. Text mining, with all its methods and techniques, is an effort to assist researchers in extracting useful and valuable knowledge and information from the mass of unstructured texts scattered throughout the Internet.

Re-visiting the Expression of Femininity in Timurid Architecture with the Focus on Visual Components (Case Study: Goharshād Mosque of Mashhad) Throughout history, women have exhibited their talents in the cultural, artistic and architectural fields whenever they had the opportunity. Patron women, especially in the Timurid period, have also played a significant role in the creation and development of ornaments and motifs related to feminine concepts. The current study attempts to represent and re-read the Iranian-Islamic architecture based on the visual components of gender focusing on the concept of femininity in architecture. For this purpose, we, first, review the concepts related to gender and then extract and study the indications related to gender and femininity in the case study. It should also be noted that in order to determine the gender identity of visual attributes, we were obliged to discuss the same idea in philosophy, evolutionary psychology, psychoanalysis as well as recent research on the gender of objects. The results indicate that visual implications associated with masculine concepts have reduced in favor of feminine ones in Goharshād Mosque of Mashhad. One of the main reasons could be the strong presence of women in politics and architecture whose leading figure was Goharshād Āghā.

This article of focused on data mining, which is very complex to recognize the correct, new models which are potentially useful in data, hence they will be useful, and acceptable for all humans. Data mining is also called the exploration of knowledge, is the process of data analysis in the different aspect to summarize them into the suitable information, which is able to increase profits and to decrease the expenses. This article is based on documents (library method) and information. It is necessary to say that the present data is also used to develop the information, but, as whole, the dominant methodology is descriptive librarian. In the present article, there is a abstract of the statistical methods and data mining which are limited to users, the process of data mining and other limitations.