Huge data is the term on the other hand an accumulation of data sets which are expansive also, complex, it contain organized also, unorganized both sort of data. Data comes from everywhere, sensors utilized to gather climate information, posts to social media sites, digital pictures also, and videos and so forth this data is known as enormous data. Useful data can be extracted from this enormous data with the help of data mining. Data mining is a system on the other hand discovering interesting designs as well as descriptive, understand capable models from expansive scale data. In this paper we overviewed sorts of enormous data also, challenges in enormous data on the other hand future.

Huge data, Data mining, Hace theorem,3V’s,Privacy

[1] Hessling, Hermann “[Keynote Speaker-2] Challenges in Handling and Processing Huge Data” Published in:Artificial Intelligence, Modelling and Simulation (AIMS), 2014 2nd International Conference on Date of Conference: 18-20 Nov. 2014
[2] Yuan Ye ; Sch. of Bus. Inf. Manage., Shanghai Univ. of Int. Bus. & Econ., Shanghai, China” A Data Extraction Algorithm for Huge Data Visualization Based on Computational Meshes” Published in:Management of e-Commerce and e-Government (ICMeCG), 2014 International Conference on Date of Conference:Oct. 31 2014-Nov. 2 2014
[3] Feng Hu ; Wang, Guoyin “ Huge Data Mining Based on Rough Set Theory and Granular Computing” Published in: Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on (Volume:3 )Date of Conference:9-12 Dec. 2008
[4] Fazio, M. ; Fac. of Eng., Univ. of Messina, Messina, Italy ; Paone, M. ; Puliafito, A. ; Villari, M. “Huge amount of heterogeneous sensed data needs the cloud” Published in: Systems, Signals and Devices (SSD), 2012 9th International Multi-Conference onDate of Conference: 20-23 March 2012
[5] Chao-Tung Yang ; Dept. of Comput. Sci., Tung[12hai Univ., Taichung, T"aiwan ; Wen-Chung Shih ; Guan-Han Chen ; Shih-Chi Yu “Implementation of a Cloud Computing Environment for Hiding Huge Amounts of Data” Published in:Parallel and Distributed Processing with Applications (ISPA), 2010 International Symposium on Date of Conference: 6-9 Sept. 2010
[6] Wang, Guoyin ; Inst. of Comput. Sci. & Technol., Chongqing Univ. of Posts & Telecommun., Chongqing Jun Hu ; Qinghua Zhang ; Xianquan Liu “Granular computing based data mining in the views of rough set and fuzzy set” Published in:Granular Computing, 2008. GrC 2008. IEEE International Conference on Date of Conference: 26-28 Aug. 2008
[7] Lei Xu ; Dept. of Electron. Eng., Tsinghua Univ., Beijing, China ; Chunxiao Jiang ; Jian Wang ; Jian Yuan “Information Security in Big Data: Privacy and Data Mining” Published in:Access, IEEE (Volume:2 ) Date of Publication :09 October 2014
[8] Shen Bin ; Ningbo Inst. of Technol., Zhejiang Univ., Ningbo, China ; Liu Yuan ; Wang Xiaoyi” Research on data mining models for the internet of things” Published in:Image Analysis and Signal Processing (IASP), 2010 International Conference on Date of Conference: 9-11 April 2010
[9] Refonaa, J. ; Dept. of Comput. Sci. & Engineeering, Sathyabama Univ., Chennai, India ; Lakshmi, M. ; Vivek, V. “Analysis and prediction of natural disaster using spatial data mining technique” Published in:Circuit, Power and Computing Technologies (ICCPCT), 2015 International Conference on Date of Conference:19-20 March 2015
[10] Nestorov, S. ; Dept. of Comput. Sci., Chicago Univ., IL, USA ; Jukic, N. “Ad-hoc association-rule mining within the data warehouse” Published in System Sciences, 2003. Proceedings of the 36th Annual Hawaii International Conference on Date of Conference: 6-9 Jan. 2003
[11] Xindong Wu ; Sch. of Comput. Sci. & Inf. Eng., Hefei Univ. of Technol., Hefei, China ; Xingquan Zhu ; Gong-Qing Wu ; Wei Ding “Data mining with big data” Published in: Knowledge and Data Engineering, IEEE Transactions on (Volume:26 , Issue: 1 ) Date of Publication : 26 June 2013
[12] Wu, X. ; University of Vermont, Burlington ; Chen, H. ; Wu,G. ; Liu,J. more authors “Knowledge Engineering with Big Data” Published in Intelligent Systems, IEEE (Volume:PP, Issue: 99 ) Date of Publication : 13 July 2015
[13] Xiongyan Li ; State Key Lab. of Pet. Resource & Prospecting, China Univ. of Pet., Beijing, China ; Hongqi Li ; HeXu ; ZhouJinyu more authors “Task-driven data mining in the formation evaluation field” Published in:Advanced Information Management and Service (IMS), 2010 6th International Conference on Date of Conference: Nov. 30 2010-Dec. 2 2010
[14] Zhang Yun ; Inst. of Comput. Sci., Northwestern Polytech. Univ., Xi''an, China ; Li Weihua ; Chen Yang “The Study of Multidimensional-Data Flow of Fishbone Applied for Data Mining” Published in: Software Engineering Research, Management and Applications, 2009. SERA '09. 7th ACIS International Conference on Date of Conference: 2-4 Dec. 2009
[15] Nirkhi, S. ; Dept. of Comput. Sci., G.H.Raisoni Coll. of Eng., Nagpur, India “Potential use of Artificial Neural Network in Data Mining” Published in Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on (Volume:2 )Date of Conference: 26-28 Feb. 2010