International Journal of Scientific and Research Publications

IJSRP, Volume 9, Issue 11, November 2019 Edition [ISSN 2250-3153]


Intelligent Paid Subscription Renewal Prediction System Using Data Mining Techniques
      Mohamed Al Ashraf ALI, Harun Uğuz
Abstract: According to Virgo Capital, Typically, good services businesses have renewal rates of more than 80%, while more sticky software renewal rates hit 90% or more. Paid subscription trading websites collect huge amounts of customer’s data which, unfortunately, are not “mined” to discover hidden information for effective decision making. Hidden patterns discovery and relationships often go unexploited. This situation can be solved by using advanced data mining techniques.

Reference this Research Paper (copy & paste below code):

Mohamed Al Ashraf ALI, Harun Uğuz (2019); Intelligent Paid Subscription Renewal Prediction System Using Data Mining Techniques; International Journal of Scientific and Research Publications (IJSRP) 9(11) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.9.11.2019.p9569
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