<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">M Veronica Arokia Mary</style></author><author><style face="normal" font="default" size="100%">K R Sekar</style></author><author><style face="normal" font="default" size="100%">R Manikandan</style></author><author><style face="normal" font="default" size="100%">K S Ravichandran</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Improvement of Immune System Analyzed through Various Cluster Techniques – A Survey</style></title><secondary-title><style face="normal" font="default" size="100%">Pharmacog Journal</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Ada boost classifier</style></keyword><keyword><style  face="normal" font="default" size="100%">Color components</style></keyword><keyword><style  face="normal" font="default" size="100%">Grape detection</style></keyword><keyword><style  face="normal" font="default" size="100%">Immune systems</style></keyword><keyword><style  face="normal" font="default" size="100%">Phytonutrients</style></keyword><keyword><style  face="normal" font="default" size="100%">Segmentation techniques</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2018</style></year><pub-dates><date><style  face="normal" font="default" size="100%">January-2018</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://fulltxt.org/article/475</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">10</style></volume><pages><style face="normal" font="default" size="100%">256-259</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p style=&quot;text-align: justify;&quot;&gt;The world health organization report says the immunity deficiency is the biggest problem in the all over the world. Immune system can be improved through many fruits, especially grape is inevitable fruit that provides high neutrinos. The grape contains phytonutrients, Phenols and Poly phenols in rich amount. It is used for constipation, indigestion, fatigueless, kidney disorder, Macular degeneration and cataracts. The grape seed reduces swelling, Eye disease caused by diabetics and acting as antioxidants. In the research article, plenty number of classifiers were used to identify good type of grapes that provides the above said. The methodology applied in the work were Ada Boost and Machine learning Meta algorithm. The above areas were reviewed to the core.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><work-type><style face="normal" font="default" size="100%">Original Article</style></work-type><section><style face="normal" font="default" size="100%">256</style></section><auth-address><style face="normal" font="default" size="100%">&lt;p style=&quot;text-align: justify;&quot;&gt;&lt;strong&gt;M Veronica Arokia Mary, K R Sekar, R Manikandan, K S Ravichandran &lt;/strong&gt;&lt;/p&gt;
&lt;p style=&quot;text-align: justify;&quot;&gt;School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, INDIA.&lt;/p&gt;</style></auth-address></record></records></xml>