A study of Data Mining Techniques & Challenges

Dr. Suresh Kaswan

Abstract

In digital era, such as now, expansion of data in databases is quite quick; everything linked to technology, such as social media, financial technology, & scientific data, all contribute significantly to data growth. Because of enormous growth of information in this age of networking & info distribution, manually evaluating, categorising, & summarising data is difficult. As a result, subjects like big data & data mining are frequently explored. Data mining is procedure for dig out info from huge amounts of data in order to create a pattern or anomaly. In order to create innovative approaches for incorporating uncertainty management into data mining, this research looks into basics of data mining as well as existing research on integrating uncertainty into data mining. Management of indeterminate data, which might be instigated by obsolete resources, specimen mistakes, or inaccurate calculations, is among most difficult issues for technologies of data mining. Development of noval approaches for adding uncertainty supervision into data mining will be a focus of future study.

Keywords

Algorithms, Classification, Clustering, Data Mining, Database.

References

[1] Y. N & M. S, “A Review on Text Mining in Data Mining,” Int. J. Soft Comput., 2016, doi: 10.5121/ijsc.2016.7301.

[2] S. Gupta & G. Khan, “MHCDA: A proposal for data collection in Wireless Sensor Network,” 2017, doi: 10.1109/SYSMART.2016.7894517.

[3] D. Sehgal & A. K. Agarwal, “Real-time sentiment analysis of big data applications using twitter data with Hadoop framework,” 2018, doi: 10.1007/978-981-10-5699-4_72.

[4] S. VijayGaikwad, A. Chaugule, & P. Patil, “Text Mining Methods & Techniques,” Int. J. Comput. Appl., 2014, doi: 10.5120/14937-3507.

[5] J. Apostolakis, “An introduction to data mining,” Struct. Bond., 2010, doi: 10.1007/430_2009_1.

[6] G. Khan, K. K. Gola, & M. Dhingra, “Efficient techniques for data aggregation in underwater sensor networks,” J. Electr. Syst., 2020.

[7] M. M. Gupta, S. Jankie, S. S. Pancholi, D. Talukdar, P. K. Sahu, & B. Sa, “Asynchronous environment assessment: A pertinent option for medical & allied health profession education during the covid-19 p&emic,” Education Sciences. 2020, doi: 10.3390/educsci10120352.

[8] M. H. F. Siddiqui & R. Kumar, “Interpreting the Nature of Rainfall with AI & Big Data Models,” 2020, doi: 10.1109/ICIEM48762.2020.9160322.

[9] S. Goel, R. K. Dwivedi, & A. Sharma, “Analysis of social network using data mining techniques,” 2020, doi: 10.1109/SMART50582.2020.9337153.

[10] D. Gupta et al., “Musculoskeletal pain management among dentists: An alternative approach,” Holist. Nurs. Pract., 2015, doi: 10.1097/HNP.0000000000000074.

[11] P. Gupta & N. Tyagi, “An approach towards big data - A review,” 2015, doi: 10.1109/CCAA.2015.7148356.

[12] K. S. Deepashri & A. Kamath, “Survey on Techniques of Data Mining & its Applications,” Int. J. Emerg. Res. Manag. Technol., 2017.

[13] M. S&hu, Jayan&, B. Rawat, & R. Dixit, “Biologically important databases available in public domain with focus on rice,” Biomedicine (India). 2017.

[14] G. Mariscal, Ó. Marbán, & C. Fernández, “A survey of data mining & knowledge discovery process models & methodologies,” Knowledge Engineering Review. 2010, doi: 10.1017/S0269888910000032.

[15] S. Kumar, J. Shekhar, & J. P. Singh, “Data security & encryption technique for cloud storage,” 2018, doi: 10.1007/978-981-10-8536-9_19.

[16] M. S. Solanki, D. K. P. Sharma, L. Goswami, R. Sikka, & V. An&, “Automatic Identification of Temples in Digital Images through Scale Invariant Feature Transform,” 2020, doi: 10.1109/ICCSEA49143.2020.9132897.

[17] L. Goswami, M. K. Kaushik, R. Sikka, V. An&, K. Prasad Sharma, & M. Singh Solanki, “IOT Based Fault Detection of Underground Cables through Node MCU Module,” 2020, doi: 10.1109/ICCSEA49143.2020.9132893.

[18] K. Sharma & L. Goswami, “RFID based Smart Railway Pantograph Control in a Different Phase of Power Line,” 2020, doi: 10.1109/ICIRCA48905.2020.9183202.

[19] M. Khatri & A. Kumar, “Stability Inspection of Isolated Hydro Power Plant with Cuttlefish Algorithm,” 2020, doi: 10.1109/DASA51403.2020.9317242.

[20] P. Guleria & M. Sood, “Data Mining in Educationâ€¯: A Review on the Knowledge Discovery Perspective,” Int. J. Data Min. Knowl. Manag. Process, 2014, doi: 10.5121/ijdkp.2014.4504.

[21] W. Ghai, S. Kumar, & V. A. Athavale, “Using gaussian mixtures on triphone acoustic modelling-based punjabi continuous speech recognition,” 2021, doi: 10.1007/978-981-15-1275-9_32.

[22] F. Xiao & C. Fan, “Data mining in building automation system for improving building operational performance,” Energy Build., 2014, doi: 10.1016/j.enbuild.2014.02.005.

[23] J. Kaur & N. Madan, “Association Rule Mining: A Survey,” Int. J. Hybrid Inf. Technol., 2015, doi: 10.14257/ijhit.2015.8.7.22.

[24] U. Fayyad, G. Piatetsky-Shapiro, & P. Smyth, “From data mining to knowledge discovery in databases,” AI Mag., 1996.

[25] T. Silwattananusarn, “Data Mining & Its Applications for Knowledge Managementâ€¯: A Literature Review from 2007 to 2012,” Int. J. Data Min. Knowl. Manag. Process, 2012, doi: 10.5121/ijdkp.2012.2502.

Cites this article as

D. S. Kaswan "A study of Data Mining Techniques & Challenges", International Journal of Innovative Research in Computer Science and Technology (IJIRCST), Vol-10, no.2, pp.92-95, 2022. Available from: https://doi.org/10.55524/ijircst.2022.10.2.18

Corresponding Author

Dr. Suresh Kaswan

Assistant Professor Department of Computer Science & Engineering, RIMT University, Mandi Gobindgarh, Punjab, India

Download Full Paper

Download PDF

No. of Downloads: 42 | No. of Views: 810

Ecological and Fiscal elucidation in Solid Scrap Management Computing Using WOT

Dr. A. Seshagiri Rao, V. Nagarjuna, M. Sivudu.

November 2022 - Vol 10, Issue 6
Optimal Energy-Efficient Predictive Controllers for Automotive Air Conditioning Systems

Dr. Satish Saini.

March 2022 - Vol 10, Issue 2
PIC18F452 Microcontroller Home Security System: A Review Paper

Krishna Tomar.

March 2022 - Vol 10, Issue 2

IJIRCST

A study of Data Mining Techniques & Challenges

Citations

Download Full Paper PDF

Total View 810

Total Download 42