• OpenAccess
    • List of Articles Segmentation

      • Open Access Article

        1 - Applying data mining techniques to regions segmentation for entrance exams to governmental universities
        نرجس سرعتی آَشتیانی somayyeh alizadeh علی  مبصّـری
        The large numbers of Iranian high school graduates are willing to enter in governmental and popular colleges and compete for it. On the other hand, these graduate students are from various regions with different levels of access to facilities. In opinion of directors of More
        The large numbers of Iranian high school graduates are willing to enter in governmental and popular colleges and compete for it. On the other hand, these graduate students are from various regions with different levels of access to facilities. In opinion of directors of relevant agencies, the quota allocation solves this problem and they are looking to use the knowledge hidden in the data are available in this area.By this way volunteers from each region are compared together and managers are helped to allocate proper quota to related students in regions of each segment. In recent years, quota allocation was determined by Taxonomy that its result is a kind of ranking that does not allow group analyzing and identifies number of region theoretically. To solve this problem clustering is a good strategy. This study is carried out by using data mining techniques and Crisp methods on related dataset from education ministry, interior ministry, ministry of health, and center of statistic and evaluation organization for the first time. After extracting of effective attributes in this area, data preparation, data reduction and combination of attributes using Factor Analysis have done.in next step, by using K-means algorithm, similar items assign in to a cluster that has the minimum distance with centroid mean and then by using neural networks and decision trees, new item can be devoted to each cluster. Finally for assessing created models, accuracy of outputs compared with other methods. Outcomes of this research are: determining the optimal number of sectors, segmenting regions, analyzing each section, extracting decision rules, predicting class labels for new areas faster and more accurately, allowing the appropriate strategies formulation for each section Manuscript profile
      • Open Access Article

        2 - Historical analysis of institutionalization trends in the field of science and technology policy in Iran
        Seyed Kamal Vaezi mehrdad javaherdashti
        This study analyzes the institutions that have been used for science and technology policy in the Islamic Republic of Iran since the Pahlavi era (first and second Pahlavi) until now. Institutions that were created during this period and their duties and powers are brief More
        This study analyzes the institutions that have been used for science and technology policy in the Islamic Republic of Iran since the Pahlavi era (first and second Pahlavi) until now. Institutions that were created during this period and their duties and powers are briefly mentioned and approaches such as modernization and modernization in the Pahlavi era, redefining values ​​and value creation based on Islamic indicators in the period. After the Revolution of 1978, which were the source of the institutions of their time, using the historical method (prevailing environmental conditions) and the focus group, this trend was analyzed and in the final part in the form of conclusions, policy recommendations that From this analysis, it has been obtained such as merging some institutions, determining the unity mechanism of the same plurality of policy makers and implementers, vertical and horizontal strategic coordination between programs and macro documents in this field, and finally practical suggestions and suggestions for future research. . Manuscript profile