Enhancing the Performance of Reservation Systems Using Data Mining

  • Elena N. Desyatirikova
  • Alkaadi Osama
  • Vladimir E. MagerEmail author
  • Liudmila V. Chernenkaya
  • Ahmad Saker Ahmad
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 95)


This paper is dedicated to applying data mining techniques to obtain knowledge from large databases of online resource reservation systems, such as air travel, post office, hotels, hospitals, and many more. The acquired knowledge is used to predict customers’ behavior and improve resource planning through improved overbooking management. Overbooking is a common trick, for example, in the area of tourism or hotels, where the consumer is completely expected to be denied services that have been pre-ordered. In other terms, such cases are referred to as “non-admittance”.


Neural networks Data mining Overbooking 


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Elena N. Desyatirikova
    • 1
  • Alkaadi Osama
    • 2
  • Vladimir E. Mager
    • 3
    Email author
  • Liudmila V. Chernenkaya
    • 3
  • Ahmad Saker Ahmad
    • 4
  1. 1.Voronezh State Technical UniversityVoronezhRussia
  2. 2.Voronezh State UniversityVoronezhRussia
  3. 3.Peter the Great St. Petersburg State Polytechnic UniversitySaint PetersburgRussia
  4. 4.Tishreen UniversityLatakiaSyria

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