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Cashless Society
J. Dhivya
Pages: 1-4 | First Published: 05 Apr 2022
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ABSTRACT

The Cashless society is describe an economic state where by financial transactions are not conducted with money in the form of physical banknotes / coins, but rather than the transfer of digital information between the transacting parties. Cashless society had exist from the time when human society came into existence, based on barter and other methods of exchanges, and cashless transactions have also become possible in modern times using digital currency  as bitcoin. the term ‘cashless society’ in the sense of a move towards, and implications of, a society where cash is replaced by its digital equivalent in other words, legal tender (currency) exists, is recorded, and is exchanged only in electronic digital form. A concept had discuss widely range than, particularly because the world is experiencing a rapid and increasing use of digital types of recording, managing, and exchanging money in commercial, investment and day to day life in many parts of the world, and transaction are which would historically have been under taken with cash are often now under taken electronically.

Keywords: New Economic World, Monetary
Received: March 2022             Accepted: March 2022     Published: April 2022      

REFERENCES 

  1. Team, T. R. (2016). Demonetisation: Impact on the Economy. NIPFP working paper series. 

  2. Sharma, D. A. (2017) 1. Potential for Cashless Economy in India. Indian Journal of Accounting , 91-99.2

Hdar (Hybrid Dimensionality Association Rule) with Exceptional Patterns in Multiple Data Sources
Dr. R. Suganthi
Pages: 5-14 | First Published: 05 Apr 2022
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ABSTRACT

Many multi-branch companies transact from different branches. Each branch maintains a database for their locally completed transactions. Hence, many such companies possess multiple databases. The challenges involve in making a sound decision based on huge amount of distributed data. Both risks and opportunities could be encountered. The Synthesizing of HDAR algorithm follows a different approach for finding Strong and high patterns with hybrid dimensionality association rule along with exceptional patterns and its frequency level at highest performance. This model is promising since it proves the captured global patterns are at a advanced level, and synthesizing global and exceptional association rules are truly valid in making global decisions by the interstate company. For making decisions, some patterns show the individuality of the regions and grouping of regions which are important. It can be explored only by synthesizing in a multi-level perspective and all the proposed methods have been Comprehensively validated with needed parameters by experimental studies.

Keywords: New Economic World, Monetary
Received  : March 2022          Accepted  : March 2022              Published : April 2022      

REFERENCES

  1. Kum HC, Chang JH, Wang W.,"Sequential pattern mining in multi databases via multiple alignment. Data MinKnowlDiscov, vol.12,pp.151–180, 2006. 

  2. Wu Zhang T, Ramakrishnan R, Livny M  BIRCH," A new data clustering algorithm and its  applications", Data Mining and Knowledge Discovery 1(2): pp.141–182,1997. 

  3.  Otey, M., Ghoting, A., and Parthasarathy, S.,"Fast distributed outlier detection in mixed-attribute data sets", Data Mining and Knowledge Discovery, vol.12,pp.121125,2006.

  4. He D, Wu X, Zhu X., "Rule synthesizing from multiple related databases", In: Proceedings of the  FourteenthPacific-Asia Conference on Knowledge Discovery and Data Mining. Hyderabad, India; pp.201 213,2010. 

  5. Liu H, Lu H, Yao J. Toward multi-database mining: identifying relevant databases. IEEE Trans KnowedgeData Eng, vol.13,pp.541–553, 2001. 

  6. Zhang S, Wu X.," Fundamentals of association rules in data mining and knowledge
    discovery", WIREs DataMin Knowledge Discovery, vol1,pp.97–116, 2011.