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<record>
  <title>Use of Petri Nets in the Search Query Pattern Analysis</title>
  <journal>Progress in Computing Application</journal>
  <author>Vesna Gega and Pece Mitrevski</author>
  <volume>11</volume>
  <issue>2</issue>
  <year>2022</year>
  <doi>10.6025/pca/2022/11/2/29-36</doi>
  <url>https://www.dline.info/pca/fulltext/v11n2/pcav11n2_1.pdf</url>
  <abstract>Extensive research has been carried out in the last two decades about the usersâ€™ search query and behaviour. Many systems have been formulated based on the search query pattern with learning and modelling and providing prediction about the possible growth in search patterns. They are dependent on the statistical methods which use logs and these logs are mined using tools. In this research we relied on the tracking the individual user search pattern for query formulation and use the Petri Nets for understanding the search pattern models.</abstract>
</record>
