Artificial intelligence is a field of science which aims to automate the activities that require human intelligence. This has been used since last two decades as a development tool in various fields like forecasting, health care, security and also has significantly improved both manufacturing and service system performance. Since AI and its working lies on large amount of data, an algorithms and data science, users fail to understand and grasp the concepts and lacks the skills needed to work with this technology. It is difficult to identify the cause behind system software/hardware crashes because AI is controlled by machines and algorithms. It requires huge fund to implement the system. But there are some facts that support the adoption of AI such as flexible computing power available on the cloud, availability of ready to use software libraries and data. These changes made it possible for the users to build their own algorithms.

Artificial Intelligence, Data mining, Algorithm, ANN

[1] T. Nitin, S. Apoorvaa, S. Himanshi, and T. Krishna, “Diagnosing dengue: A faster, artificial intelligence based hack,” International Journal Of Engineering And Computer Science, vol. 6, no. 7, pp. 21 895–21 915, 2017.
[2] O. Mahmoudi, F. Piltan, O. R. Sadrnia, M. Jafari, and M. Eram, “Design robust artificial intelligence model-base variable structure controller with application to dynamic uncertainties octam vi continuum robot,” International Journal of Hybrid Information Technology, vol. 8, no. 1, pp. 51–72, 2015.
[3] F. Junejo, I. Amin, M. Hassan, A. Ahmed, and S. Hameed, “The application of artificial intelligence in grinding operation using sensor fusion,” International Journal, vol. 12, no. 30, pp. 11–18, 2017.
[4] S. Saroha, V. Gupta, V. Shekher, P. Rana, and P. Singla, “Promoting short term load forecasting by using artificial intelligence.”
[5] L. Sharma and V. Srivastava, “Performance enhancement of information retrieval via artificial intelligence,” International Journal of Scientific Research in Science, Engineering and Technology, vol. 3, no. 1, pp. 187–192, 2017.
[6] A. Anitha, G. Paul, and S. Kumari, “A cyber defence using artificial intelligence,” International Journal of Pharmacy and Technology, vol. 8, no. 4, 2016.
[7] Z. JAGRUTI and S. P M, “Analysis of reliability using artificial intelligence technique,” International Journal of Innovative Technology, vol. 5, no. 2, pp. 0247–0250, 2017.
[8] K. Amandeep and C. Deepti, “Cyber awarness improvement using artificial intelligence,” International Journal For Technological Research In Engineering, vol. 4, no. 9, pp. 2347– 4718, 2017.
[9] R. Patel, A. A. Amin, and D. M. Hiren, “Optimal svc placement for loss minimization in electric power networks using artificial intelligence techniques,” International Journal of Advance Research in Engineering, Science & Technology, vol. 4, no. 4, 2017.
[10] A.-A. Shayma M and A. Maysam, “Prediction of cancer behavior based on artificial intelligence.”
[11] R. Sathya, M. Pavithra, and G. Girubaa, “Artificial intelligence for speech recognition,” International Journal of Computer Science & Engineering Technology (IJCSET), ISSN, pp. 2229–3345, 2017.
[12] E. Khanna, “On the applicability of artificial intelligence in black box testing.”
[13] P. D. A. Saygın and A. Kerem, “Wind power forecasting: A case study in terrain using artificial intelligence,” 2017.
[14] V. Kostandina, “Artificial intelligence in adaptive control strategy design,” International Journal of Science and Engineering Investigations, vol. 4, no. 4, pp. 2251–8843, 2017.
[15] B. Neha, B. Utkarsha, and S. Yerker, “Title: A brief review on artificial intelligence in power system,” INTERNATIONAL JOURNAL FOR ENGINEERING APPLICATIONS AND TECHNOLOGY, vol. 3, no. 5.
[16] R. Soni and N. Singh, “Knowledge representation in artificial intelligence using domain knowledge and reasoning mechanism.”
[17] A. Mohamed, “Novel testing algorithm for busbar protection systems using iec 61850 and artificial intelligence technique.”
[18] P. Agnihotri, J. K. Dwivedi, and V. M. Mishra, “Stabilization of power system using artificial intelligence based system,” 2017.
[19] A. Heydarzadegan, Y. Nemati, and M. Moradi, “Evaluation of machine learning algorithms in artificial intelligence,” vol, vol. 4, pp. 278–286, 2015.
[20] S. S. More and M. K. Nighot, “Artificial intelligence and ant colony optimization based wireless sensor networks to minimize energy of network.”
[21] K. Kumar and G. S. M. Thakur, “Advanced applications of neural networks and artificial intelligence: A review,” IJ Information Technology and Computer Science, vol. 6, pp. 57–68, 2012.
[22] Z.-H. Zhou, J. Wu, and W. Tang, “Ensembling neural networks: many could be better than all,” Artificial intelligence, vol. 137, no. 1-2, pp. 239–263, 2002.
[23] A. S. Ahmad, “Brain inspired cognitive artificial intelligence for knowledge extraction and intelligent instrumentation system,” in 2017 International Symposium on Electronics and Smart Devices. IEEE, 2017, pp. 352–356.
[24] Z. Hong, “A preliminary study on artificial neural network,” in 2011 6th IEEE Joint International Information Technology and Artificial Intelligence Conference, vol. 2. IEEE, 2011, pp. 336–338.
[25] L. Parthiban and R. Subramanian, “Intelligent heart disease prediction system using canfis and genetic algorithm,” International Journal of Biological, Biomedical and Medical Sciences, vol. 3, no. 3, 2008.
[26] G. Subbalakshmi, K. Ramesh, and M. c. Rao, “Decision support in heart disease prediction system using naive bayes,” Indian Journal of Computer Science and Engineering, vol. 2, no. 2, 2011.
[27] P. Gupta and P. Sahai, “A review on artificial intelligence approach on prediction of software defects,” IJRDASE, 2016.
[28] N. A. Alrajeh and J. Lloret, “Intrusion detection systems based on artificial intelligence techniques in wireless sensor networks,” International Journal of Distributed Sensor Networks, vol. 9, no. 10, p. 351047, 2013.
[29] K. O. Bachri, B. Anggoro, A. D. W. Sumari, and A. S. Ahmad, “Cognitive artificial intelligence method for interpreting transformer condition based on maintenance data,” Advances in Science, Technology and Engineering Systems Journal (ASTESJ) Vol, vol. 2, pp. 1137–1146, 2017.
[30] J. Awwalu, A. G. Garba, A. Ghazvini, and R. Atuah, “Artificial intelligence in personalized medicine application of ai algorithms in solving personalized medicine problems,” International Journal of Computer Theory and Engineering, vol. 7, no. 6, p. 439, 2015.
[31] S. Merat and W. Almuhtadi, “Cyber-awareness improvement using artificial intelligence techniques.” International Journal on Smart Sensing& Intelligent Systems, vol. 8, no. 1, 2015.
[32] H. R. Jani, H. D. Maniya, R. M. Hirpara, A. J. Maradiya, G. K. Nanani, H. R. Jani, H. D. Maniya, R. M. Hirpara, A. J. Maradiya, and G. K. Nanani, “Artificial intelligence based self assemble bot,” International Journal for Innovative Research in Science & Technology, vol. 2, pp. 184–190.
[33] A. Samy, S. A. Ward, and M. N. Ali, “Conventional ratio and artificial intelligence (ai) diagnostic methods for dga in electrical transformers,” International Electrical Engineering Journal (IEEJ), vol. 6, no. 12, pp. 2096–2102, 2015.
[34] M. Eppe, E. Maclean, R. Confalonieri, O. Kutz, M. Schorlemmer, E. Plaza, and K.-U. K¨uhnberger, “A computational framework for conceptual blending,” Artificial Intelligence, vol. 256, pp. 105–129, 2018.
[35] M. Law, A. Russo, and K. Broda, “The complexity and generality of learning answer set programs,” Artificial Intelligence, vol. 259, pp. 110– 146, 2018.
[36] M. Campbell, A. J. Hoane Jr, and F.-h. Hsu, “Deep blue,” Artificial intelligence, vol. 134, no. 1-2, pp. 57–83, 2002.
[37] M. Ying, “Quantum computation, quantum theory and ai,” Artificial Intelligence, vol. 174, no. 2, pp. 162–176, 2010.
[38] S.-Z. Yu, “Hidden semi-markov models,” Artificial intelligence, vol. 174, no. 2, pp. 215–243, 2010.
[39] P. Lin, K. Abney, and G. Bekey, “Robot ethics: Mapping the issues for a mechanized world,” Artificial Intelligence, vol. 175, no. 5-6, pp. 942–949, 2011.
[40] P. Baldi and P. Sadowski, “The dropout learning algorithm,” Artificial intelligence, vol. 210, pp. 78–122, 2014.
[41] J. Pajarinen and V. Kyrki, “Robotic manipulation of multiple objects as a pomdp,” Artificial Intelligence, vol. 247, pp. 213–228, 2017.
[42] S. Lemaignan, M. Warnier, E. A. Sisbot, A. Clodic, and R. Alami, “Artificial cognition for social human–robot interaction: An implementation,” Artificial Intelligence, vol. 247, pp. 45–69, 2017.
[43] A. Harb, “Paradigm shift: Engineering artificial intelligence and management strategies fusion.”
[44] R. E. Korf, “A complete anytime algorithm for number partitioning,” Artificial Intelligence, vol. 106, no. 2, pp. 181–203, 1998.
[45] R. S. Sutton, D. Precup, and S. Singh, “Between mdps and semi-mdps: A framework for temporal abstraction in reinforcement learning,” Artificial intelligence, vol. 112, no. 1-2, pp. 181–211, 1999.
[46] P. Patil, “Emotion in artificial intelligence and its life research to facing troubles,” 2016.
[47] Dr. Pranav Patil “Artificial intelligence in cybersecurity,” International Journal of Research in Computer Applications and Robotics, vol. 4, no. 5, pp. 1–5, 2016.
[48] A. A. Dongare and R. Ghongade, “Artificial intelligence based bank cheque signature verification system,” 2016.
[49] G. Kaur and R. Sharma, “A systematic performance comparison of artificial intelligence techniques used for alnpr system,” Research Cell: an International Journal of Engineering Sciences, vol. 17, no. 1, pp. 161–167, 2016.
[50] O. Deepa and A. Senthilkumar, “Swarm intelligence from natural to artificial systems: Ant colony optimization,” Networks (Graph-Hoc), vol. 8, no. 1, pp. 9–17, 2016.
[51] S. Harjit, “Artificial intelligence revolution and indias ai development: Challenges and scope,” IJSRSET, vol. 3, 2017.
[52] K. Sakthivel and C. Rajitha, “Artificial intelligence for estimation of future claim frequency in non-life insurance,” Global Journal of Pure and Applied Mathematics, vol. 13, no. 6, pp. 1701–1710, 2017.
[53] M. V. J Maria and A. R, “Deploying artificial intelligence techniques in software engineering,” International Journal of Contemporary Research in Computer Science and Technology, vol. 3, 2017.
[54] M. Piyush, R. Deepak, and V. Gatty, “Artificial intelligence in power saving & games,” International Research Journal of Engineering and Technology, vol. 4, 2017.
[55] K. Navneet and S. S. Mandeep, “Enhanced cluster head selection algorithm based on artificial intelligence technique,” IJACMS, vol. 2, 2017.
[56] S. Shraddha and Aamir, “Predicting material removal rate using an artificial intelligence approach,” International Journal of Research and Development in Applied Science and Engineering (IJRDASE), vol. 9, 2016.
[57] M. Sahu, “Plagiarism detection using artificial intelligence technique in multiple files,” International Journal 0f Scientific and Technology Research, vol. 5, no. 4, 2016.
[58] N. Ernest, D. Carroll, C. Schumacher, M. Clark, K. Cohen, and G. Lee, “Genetic fuzzy based artificial intelligence for unmanned combat aerial vehicle control in simulated air combat missions,” Journal of Defense Management, vol. 6, no. 1, pp. 2167–0374, 2016.
[59] Y. Huai and P. Yong, “Teaching evaluation of single chip microcomputer based on artificial intelligence algorithm,” vol. 39, 2016.
[60] C. Vinay Kumar, K. Dinesh Kumar, and S. Vaibhav, “Development of artificial intelligence model for the prediction of mrr in turning,” International Journal of Hybrid Information Technology, vol. 9, 2016.
[61] Y.-K. Huang, A.-C. Pang, and H.-N. Hung, “An adaptive gts allocation scheme for ieee 802.15. 4,” IEEE transactions on parallel and distributed systems, vol. 19, no. 5, pp. 641–651, 2008.
[62] S.-H. Park and S.-P. Lee, “Emg pattern recognition based on artificial intelligence techniques,” IEEE transactions on Rehabilitation Engineering, vol. 6, no. 4, pp. 400–405, 1998.
[63] W. E. Spangler, “The role of artificial intelligence in understanding the strategic decision-making process,” IEEE Transactions on Knowledge and Data Engineering, vol. 3, no. 2, pp. 149–159, 1991.
[64] S. B. Patil and Y. Kumaraswamy, “Extraction of significant patterns from heart disease warehouses for heart attack prediction,” IJCSNS, vol. 9, no. 2, pp. 228–235, 2009.
[65] R. Chitra and V. Seenivasagam, “Review of heart disease prediction system using data mining and hybrid intelligent techniques,” ICTACT journal on soft computing, vol. 3, no. 04, pp. 605–609, 2013.
[66] J. Soni, U. Ansari, D. Sharma, and S. Soni, “Predictive data mining for medical diagnosis: An overview of heart disease prediction,” International Journal of Computer Applications, vol. 17, no. 8, pp. 43–48, 2011.
[67] K. Srinivas, B. K. Rani, and A. Govrdhan, “Applications of data mining techniques in healthcare and prediction of heart attacks,” International Journal on Computer Science and Engineering (IJCSE), vol. 2, no. 02, pp. 250–255, 2010.
[68] A. Methaila, P. Kansal, H. Arya, P. Kumar et al., “Early heart disease prediction using data mining techniques,” Computer Science & Information Technology Journal, pp. 53–59, 2014.
[69] D. Chandna, “Diagnosis of heart disease using data mining algorithm,” International Journal of Computer Science and Information Technologies, vol. 5, no. 2, pp. 1678–1680, 2014.
[70] N. A. Sundar, P. P. Latha, and M. R. Chandra, “Performance analysis of classification data mining techniques over heart disease database,” International journal of engineering science & advanced technology, vol. 2, no. 3, pp. 470–478, 2012.
[71] S. S. Ms. Ishtake SH, “Intelligent heart disease prediction system using data mining techniques,” International J. of Healthcare & Biomedical Research, vol. 1, no. 2, pp. 94–101, 2013.
[72] S. B. Patel, P. K. Yadav, and D. Shukla, “Predict the diagnosis of heart disease patients using classification mining techniques,” IOSR Journal of Agriculture and Veterinary Science (IOSR-JAVS), vol. 4, no. 2, pp. 61–64, 2013.
[73] A. Taneja et al., “Heart disease prediction system using data mining techniques,” Oriental Journal of Computer science and technology, vol. 6, no. 4, pp. 457–466, 2013.
[74] S. Amin, K. Agarwal, and R. Beg, “Data mining in clinical decision support systems for diagnosis, prediction and treatment of heart disease,” vol. 2, pp. 2278–1323, 01 2013.
[75] S.D.N.Hayath Ali and M. Giri “ A Study on Challenging issues Optimal Methods for Video Streaming over Hrterogeneous Wireless Network” vol.6 ,04 2018.
[76] Yakubu Ajiji Makeri “The Role of Cyber Security and Human-Technology Centric for Digital Transformation” vol.6, pp 53-59 12 2018.
[77] A kobusinska, C Leung, CH Hsu, S Raghavendra and V Chang “ Emerging trends, issues and challenges in Internet of Things, Big Dataand cloud computing” vol.87, pp.416-419, 10 2018.
[78] S Raghavendra, C Leung, CH Hsu, CM Geeta, R Buyya and KR Venugopal “Survey on data storage and retrieval techniques over encrypted cloud data” vol.14, pp.718, 9 2016.
[79] S Raghavendra, CS Reddy, CM Geeta, R Buyya, KR Venugopal and S Iyengar “DRSMS: Domain and Range specific Multi KeywordSearch over encrypted cloud data” vol.14, pp.69-78, 5 2016.
[80] S Raghavendra, G Mara, R Buyya and KR Venugopal, VK Rajuk S Iyengar and LM Patnaik “Drsig : Domain and Range specificindex generation for encrypted cloud data” pp.591-596, 3 2016