Emerging Trends in Data Mining- An Algorithms used, Challenges and its Significance in Current Scenario
DOI:
https://doi.org/10.26438/ijcse/v8i3.7882Keywords:
Data Mining, Semantic Web,, Multirelational data mining,, Bio-informatics,, Algorithms, VAbstract
Data is defined as the collection of facts. When data are refined it becomes information. Data plays a vital role in obtaining any kind of information. These data are collected from different sources. It is difficult to handle these data sometimes. In data mining, all the data are collected from different sources as per their need. From telecommunication to retail industries, from finance to educational institutes all these data give vital information for any kind of execution that needs to be done for the future course of action. However, some challenges need to be taken care of while obtaining these data. Some data might be noisy, some might be scattered. Looking into this scenario we should be very careful while playing with these data. Every organization heavily depends on these data for their planning and execution. Data mining plays a vital role in achieving the target of the organization. It should be handled in a precise manner. Though the challenges are many their significance is equally high. This paper explains the brief ideas on what are the new trends in data mining and how it is helping to overcome our needs as per the current requirements.
References
[1] Bharati M. Ramageri, “Data Mining Techniques and Applications ”, Indian Journal of Computer Science and Engineering , Vol.1 Issue.4, pp. 301-305, 2012.
[2] Jiawei Han & Micheline Kamber “Data Mining Concepts and Techniques”, Morgan Kaufmann Publishers, pp. 400-436,2003.
[3] Sadiq Hussain, “Survey on Current Trends and Techniques of Data Mining Research ”, London Journal of Research in Computer Science and Technology, Vol.17 Issue.1 , pp. 07- 13,2017.
[4] Rakesh Kumar Saini, "Data Mining tools and challenges for current market trends-A Review," International Journal of Scientific Research in Network Security and Communication, Vol.7, Issue.2, pp.11-14, 2019.
[5] Bindushree V., Rashmi G.R., Uma H.R., “Analysis of Text Recognition with Data Mining Techniques,” International Journal of Scientific Research in Computer Science and Engineering, Vol.7, Issue.6, pp.40-42, 2013.
[6] Arun K Pujari, ”Data Mining Techniques”,University Press,pp. 01-50,2013.
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
