In the EXISTING methodology, big data is an opportunity based environment. Big data analytics can lead to valuable
knowledge for many organizations. In this paper, Integration of Big Data, Business analytical and RFID technology are recent trends in
IT, which is a challenge oriented activity. We have MODIFIED AND IMPLEMENTED this application for developing Banking sector
particularly for Debit / ATM \card section. We can use RFID smart card as ATM Card for transaction. User can create account and get
the ATM card from the bank. The user can integrate all his bank accounts which can be integrated in this single card with unique PIN
numbers accordingly. User behaviour is monitored through HMM Model and he can set up a formula based authentication. The user
can include all his family members’ accounts details to this same card. The user can withdraw cash from their accounts after successful
authentication of the corresponding PIN numbers.
Published In:IJCSN Journal Volume 6, Issue 3
Date of Publication : June 2017
Pages : 417-420
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Suresh R : Student, Department of Computer Science & Engineering
Rmk Engineering College, Kavaraipettai- 601206, Tamilnadu, India.
Somasundaram M : Assistant Professor of CSE Department
Rmk Engineering College, Kavaraipettai- 601206, Tamilnadu, India.
Sethukarasi T : Head of CSE Department
Rmk Engineering College, Kavaraipettai- 601206, Tamilnadu, India.
RFID Card, Formulae Authentication, Hidden Markov Model, Email Alert
There is sufficient supporting evidence to conclude that
data-driven approaches would be a growing research
methodology/ philosophy in business operations.
Countless application domains can be influenced by this
big data fad. BI systems are definitely on the list as such
systems highly rely on the input data to generate valuable
outputs. That being said, the scope of BI systems is so
wide and related research involved the multidisciplinary
knowledge. Hence it is not surprising that the research
focal points have been scattered around different
disciplines. Consequently, it is not easy to generalize the
results from previous studies. In this connection,
emerging big-data-oriented research may need some
adjustments. Synergizing multiple research methodologies
could be one direction. Data mining is still the core
engine of BI systems but previous data mining algorithms
are very application-oriented. This is not a criticism but
an observation. The main reason is due to the nature of
the data involved.
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