The results showed that the performance of k-Medoids by SVM algorithm was better than the others. It is able to classify Iranian and foreign cultivar into the correct classes. Cluster analysis techniques are concerned with exploring data sets to assess whether or not they can be summarized meaningfully in terms of a relatively small number of groups or clusters of objects or individuals which resemble each other and which are different in some respects from individuals in other clusters. Standard clustering methods have been developed in many directions to encompass realistic situations. Application fields such as genetics, combined with increasing computing power, have prompted some of these developments. The classification of plants has clearly played an important role in the fields of biology. All prediction trees generated by tree induction SJN 2511 models had simple shape with two branches. The ability of various decision tree induction models applied in this study to correctly and effectively classify cultivars based on fragment attributes were identical. Therefore all tree induction algorithms may be effectively used as suitable tools to classify those olive cultivars with maximum accuracies. As shown in Table 5, the overall accuracies for tree induction models were generally high enough for all algorithms. Precision of Iranian cultivar prediction is more than foreign cultivar prediction except when Decision Tree Stump and Decision Tree Parallel ran with Accuracy and Gini Index. In these cases trees did not predict Iranian cultivars. The support vector machine is a learning machine for twogroup classification problems and have been widely employed by researchers in different areas of science, including genomics, proteomics, metabonomics, researches. According to this study, SVM has shown promising capability for prediction of Iranian and foreign olive cultivars. Therefore, SVM is expected to be a potential eligible algorithm which can be employed for classification and prediction of any two classes of olive cultivar. IL-22 is a member of the IL-10-related cytokine family, and has been implicated in both chronic inflammatory diseases and infectious diseases. The tissue-modulating function of IL-22 in response to the immune system sets it apart from IL-10, which regulates immune cell functions. Although known as a Th17 cytokine, IL-22 is also expressed by a wide range of immune cells, including NK T, cd T, and NK cells. However, its receptor is exclusively produced by tissue cells, including epithelial and endothelial cells. Activation of IL-22 receptor leads to Stat3, Stat1, MAPK kinase and Akt signaling, which then results in diverse outcomes such as cell proliferation and survival. The role of IL-22 in inflammatory and infectious diseases varies with tissue and disease conditions. IL-22 contributes to pathogenesis of psoriasis by inducing the proinflammatory S100 family of calcium binding proteins and plays a role in multiple sclerosis by promoting leukocyte infiltration into the brain. However, IL-22 protects the liver from immune system-mediated damage during hepatitis. Upon microbe assaults, especially extracellular pathogens such as K. pneumonia the host increases IL-22 expression, which helps maintain epithelial barriers and induces secretion of anti-microbial peptides by the epithelia. Although IL-22 is also induced by virus and has been implicated in anti-HIV function, its in vivo role in viral infections has yet to be defined. Mosquito-borne viruses in the Flaviviridae family have recently emerged as a threat to human health.