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One of the pillars to build a country's economy is the stock market.
V. Turchenko, P. Beraldi, F. De Simone, and L. Grandinetti, “Short-term Stock Price Prediction Using MLP in Moving Simulation Mode,” in Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems , vol. 2, 2011, pp. 666–671
2011
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S. Shen, H. Jiang, and T. Zhang, “Stock Market Forecasting Using Machine Learning Algorithms,” 2012, pp. 1–5. [Online]. Available: http://cs229.stanford.edu/proj2012/ShenJiangZhang-StockMarketForecastingusingMachineLearningAlgorithms.pdf
2012
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M. A. Shah and C. D. Bhavsar, “Predicting Stock Market using Regression Technique ,” Research Journal of Finance and Accounting , vol. 6, no. 3, pp. 27–34, 2015
2015
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S. S. Roy, D. Mittal, A. Basu, and A. Abraham, “Stock Market Forecasting Using LASSO Linear Regression Model,” in Afro-European Conference for Industrial Advancement , vol. 334. Cham: Springer International Publishing, 2015, pp. 371–381, advances in Intelligent Systems and Computing
2015
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M. Ballings, D. Van den Poel, N. Hespeels, and R. Gryp, “Evaluating Multiple Classifiers for Stock Price Direction Prediction,” Expert Systems with Applications , vol. 42, no. 20, pp. 7046–7056, 2015
2015
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T. Manojlovic and I. Štajduhar, “Predicting Stock Market Trends Using Random Forests: A Sample of The Zagreb Stock Exchange,” in 2015 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) , Opatija, 05 2015, pp. 1189–1193
2015
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O. Almatrafi, S. Parack, and B. Chavan, “Application of Location-Based Sentiment Analysis Using Twitter for Identifying Trends towards Indian General Elections 2014,” in Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication , ser. IMCOM ’15. New York, NY, USA: Association for Computing Machinery, 2015. [Online]. Available: https://doi.org/10.1145/2701126.2701129
2015
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D. Yan, G. Zhou, X. Zhao, Y. Tian, and F. Yang, “Predicting Stock Using Microblog Moods,” China Communications , vol. 13, no. 8, pp. 244–257, 2016
2016
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A. H. Moghaddam, M. H. Moghaddam, and M. Esfandyari, “Stock Market Index Prediction Using Artificial Neural Network,” Journal of Economics, Finance and Administrative Science , vol. 21, no. 41, pp. 89–93, 2016
2016
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I. Gupta and K. Gupta, “Evaluation of Intrusion Detection Schemes in Wireless Sensor Network,” IOSR Journal of Computer Engineering , vol. 18, no. 2, pp. 60–63, Mar-Apr. 2016
2016
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I. Gupta and K. Gupta, “Review on Intrusion Detection System Architectures in WSN,” International Journal of Scientific & Engineering Research , vol. 7, no. 12, pp. 111–115, Dec. 2016
2016
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K. Gupta and I. Gupta, “A Comprehensive Study on Architecture, Security issues and Challenges in Cloud Computing,” International Journal of Scientific & Engineering Research , vol. 7, no. 12, pp. 128–131, Dec. 2016
2016
Earlier work this paper cites.
I. Gupta and A. K. Singh, “A Probability based Model for Data Leakage Detection using Bigraph,” in Proceedings of 7th International Conference on Communication and Network Security (ICCNS) , ser. ICCNS 2017. New York, NY, USA: Association for Computing Machinery (ACM), 2017, p. 1–5
2017
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U. Arora, S. Verma, I. Gupta, and A. K. Singh, “Implementing Privacy using Modified Tree and Map Technique,” in 2017 3rd International Conference on Advances in Computing,Communication & Automation (ICACCA) (Fall) . IEEE, 2017, pp. 1–5
2017
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K. Kaur, I. Gupta, and A. K. Singh, “A Comparative Study of the Approach Provided for Preventing the Data Leakage,” International Journal of Network Security & Its Applications , vol. 9, no. 5, pp. 21–33, 2017
2017
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X. Zhang, J. Shi, D. Wang, and B. Fang, “Exploiting Investors Social Network for Stock Prediction in China’s Market,” Journal of Computational Science , vol. 28, 11 2017
2017
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T. Gao, Y. Chai, and Y. Liu, “Applying Long Short Term Momory Neural Networks for Predicting Stock Closing Price,” in 8th IEEE International Conference on Software Engineering and Service Science , 2017, pp. 575–578
2017
Earlier work this paper cites.
K. Kaur, I. Gupta, and A. K. Singh, “A Comparative Evaluation of Data Leakage/Loss Prevention Systems (DLPS),” in Proc. 4th International Conference Computer Science & Information Technology , 2017, pp. 87–95
2017
Earlier work this paper cites.
G. Batra, H. Singh, I. Gupta, and A. K. Singh, “Best Fit Sharing and Power Aware (BFSPA) Algorithm for VM Placement in Cloud Environment,” in 2017 3rd International Conference on Advances in Computing,Communication & Automation (ICACCA) (Fall) . IEEE, 2017, pp. 1–4
2017
Earlier work this paper cites.
I. Gupta, “A Comparative Study of the Approach Provided for Preventing the Data Leakage,” Other Topics Engineering Research eJournal , vol. 9, no. 5, September 2017
2017
Earlier work this paper cites.
A. C. M. P. D. M. Q. Nelson and R. A. de Oliveira, “Stock Market’s Price Movement Prediction with LSTM Neural Networks,” in 2017 International Joint Conference on Neural Networks (IJCNN) , Anchorage, AK, May 2017, pp. 1419–1426. [Online]. Available: https://doi.org/10.1109/IJCNN.2017.7966019
2017
Cited alongside, same era.
I. Gupta and A. K. Singh, “A Probabilistic Approach for Guilty Agent Detection using Bigraph after Distribution of Sample Data,” Procedia Computer Science , vol. 125, pp. 662 – 668, 2018
2018
Cited alongside, same era.
K. Kaur, I. Gupta, and A. K. Singh, “Data Leakage Prevention: E-Mail Protection via Gateway,” Journal of Physics: Conference Series , vol. 933, p. 012013, jan 2018
2018
Cited alongside, same era.
X. Zhang, S. Qu, J. Huang, B. Fang, and P. Yu, “Stock Market Prediction via Multi-Source Multiple Instance Learning,” IEEE Access , vol. 6, pp. 50 720–50 728, 2018
2018
Cited alongside, same era.
I. Gupta and A. K. Singh, “GUIM-SMD: Guilty User Identification Model using Summation Matrix-based Distribution,” IET Information Security , vol. 14, pp. 773–782, November 2020
2020
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I. Gupta and A. K. Singh, “An Integrated Approach for Data Leaker Detection in Cloud Environment,” Journal of Information Science and Engineering , vol. 36, pp. 993–1005, Sep. 2020
2020
Later among the works it cites.
R. Verma, V. Gautam, C. P. Yadav, I. Gupta, and A. K. Singh, “A Survey on Data Leakage Detection and Prevention,” in Proceedings of the International Conference on Innovative Computing & Communications (ICICC) 2020 . SSRN, Elsevier, May 2020, pp. 1–7
2020
Later among the works it cites.
I. Gupta and A. K. Singh, “A Framework for Malicious Agent Detection in Cloud Computing Environment,” International Journal of Advanced Science and Technology (IJAST) , vol. 135, pp. 49–62, Feb 2020
2020
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L. Chen, Z. Qiao, M. Wang, C. Wang, R. Du, and H. E. Stanley, “Which Artificial Intelligence Algorithm Better Predicts the Chinese Stock Market?” IEEE Access , vol. 6, pp. 48 625–48 633, 2018
2018
Cited alongside, same era.
R. Batra and S. M. Daudpota, “Integrating Stocktwits with Sentiment Analysis for Better Prediction of Stock Price Movement,” in 2018 International Conference on Computing, Mathematics and Engineering Technologies (iCoMET) , Sukkur, 2018, pp. 1–5
2018
Cited alongside, same era.
H. M, G. E.A., V. K. Menon, and S. K.P., “NSE Stock Market Prediction Using Deep-Learning Models,” Procedia Computer Science , vol. 132, pp. 1351–1362, 2018, international Conference on Computational Intelligence and Data Science. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S1877050918307828
2018
Cited alongside, same era.
J. Abraham, D. Higdon, J. Nelson, and J. Ibarra, “Cryptocurrency Price Prediction Using Tweet Volumes and Sentiment Analysis,” SMU Data Science Review , vol. 1, no. 3, 2018
2018
Cited alongside, same era.
S. Ao, “Sentiment Analysis Based on Financial Tweets and Market Information,” in 2018 International Conference on Audio, Language and Image Processing (ICALIP) , 2018, pp. 321–326
2018
Cited alongside, same era.
T. Sanboon, K. Keatruangkamala, and S. Jaiyen, “A Deep Learning Model for Predicting Buy and Sell Recommendations in Stock Exchange of Thailand using Long Short-Term Memory,” in 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS) , 2019, pp. 757–760
2019
Cited alongside, same era.
I. Gupta and A. K. Singh, “Dynamic Threshold based Information Leaker Identification Scheme,” Information Processing Letters , vol. 147, pp. 69 – 73, 2019
2019
Cited alongside, same era.
I. Gupta, N. Singh, and A. Singh, “Layer-based Privacy and Security Architecture for Cloud Data Sharing,” Journal of Communications Software and Systems (JCOMSS) , vol. 15, no. 2, 2019
2019
Cited alongside, same era.
A. Nag, A. Kesharwani, B. Sharma, I. Gupta, A. Tiwari, and A. K. Singh, “Potential and Extention of Internet of Things,” in Second International Conference on Computer Networks and Communication Technologies (ICCNCT) , vol. 44. Cham: Springer International Publishing, 2020, pp. 542–551
2020
Later among the works it cites.
A. K. Singh, I. Gupta, R. Verma, V. Gautam, and C. P. Yadav, “A Survey on Data Leakage Detection and Prevention,” in Proc. Int. Conf. Innov. Comput. Commun. , 2020
2020
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I. Gupta, R. Gupta, A. K. Singh, and R. Buyya, “MLPAM: A Machine Learning and Probabilistic Analysis Based Model for Preserving Security and Privacy in Cloud Environment,” IEEE Systems Journal , vol. 15, no. 3, pp. 4248–4259, 2021
2021
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D. Saxena, I. Gupta, J. Kumar, A. K. Singh, and X. Wen, “A Secure and Multiobjective Virtual Machine Placement Framework for Cloud Data Center,” IEEE Systems Journal , pp. 1–12, 2021
2021
Later among the works it cites.
A. Kesharwani, A. Nag, A. Tiwari, I. Gupta, B. Sharma, and A. K. Singh, “Real-Time Human Locator and Advance Home Security Appliances,” in Evolutionary Computing and Mobile Sustainable Networks , vol. 53. Singapore: Springer Singapore, 2021, pp. 37–49, data Engineering and Communications Technologies
2021
Later among the works it cites.
Khushbu, P. Nishad, V. Kashyap, I. Gupta, and A. K. Singh, “An Organized Study on Data Divulge Elimination and Discernment,” in Computer Networks and Inventive Communication Technologies . Singapore: Springer Singapore, 2021, pp. 569–578
2021
Later among the works it cites.
S. Jalwa, V. Sharma, A. R. Siddiqi, I. Gupta, and A. K. Singh, “Comprehensive and Comparative Analysis of Different Files Using CP-ABE,” in Advances in Communication and Computational Technology , vol. 668. Singapore: Springer Singapore, 2021, pp. 189–198, electrical Engineering
2021
Later among the works it cites.
A. Acharya, H. Prasad, V. Kumar, I. Gupta, and A. K. Singh, “Host Platform Security and Mobile Agent Classification: A Systematic Study,” in Computer Networks and Inventive Communication Technologies , vol. 58. Singapore: Springer Singapore, 2021, pp. 1001–1010, data Engineering and Communications Technologies
2021
Later among the works it cites.
P. Tiwari, S. Mehta, N. Sakhuja, I. Gupta, and A. K. Singh, “Hybrid Method in Identifying the Fraud Detection in the Credit Card,” in Evolutionary Computing and Mobile Sustainable Networks , vol. 53. Singapore: Springer Singapore, 2021, pp. 27–35, data Engineering and Communications Technologies
2021
Later among the works it cites.
Khushbu, P. Nishad, V. Kashyap, and I. Gupta, “A Classification and Distribution Model for Data Leakage Prevention and Detection,” International Research Journal of Modernization in Engineering Technology and Science , vol. 3, no. 2, pp. 348–354, Feb. 2021
2021
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P. Godha, S. Jadon, A. Patle, I. Gupta, B. Sharma, and A. K. Singh, “Flooding and Forwarding Based on Efficient Routing Protocol,” in International Conference on Innovative Computing and Communications , vol. 1166. Singapore: Springer Singapore, 2021, pp. 215–223, advances in Intelligent Systems and Computing
2021
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V. Sharma, S. Jalwa, A. R. Siddiqi, I. Gupta, and A. K. Singh, “A Lightweight Effective Randomized Caesar Cipher Algorithm for Security of Data,” in Evolutionary Computing and Mobile Sustainable Networks , vol. 53. Singapore: Springer Singapore, 2021, pp. 411–419, data Engineering and Communications Technologies
2021
Later among the works it cites.
I. Gupta, S. Mittal, A. Tiwari, P. Agarwal, and A. K. Singh, “TIDF-DLPM: Term and Inverse Document Frequency based Data Leakage Prevention Model,” 2022
2022
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I. Gupta and A. K. Singh, “A Holistic View on Data Protection for Sharing, Communicating, and Computing Environments: Taxonomy and Future Directions,” 2022
2022
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A. Acharya, H. Prasad, V. Kumar, I. Gupta, and A. K. Singh, “MACI: Malicious API Call Identifier Model to Secure the Host Platform,” in Proceedings of the Seventh International Conference on Mathematics and Computing . Singapore: Springer Singapore, 2022, pp. 309–320
2022
Closest in time.
I. Gupta, V. Sharma, S. Kaur, and A. K. Singh1, “PCA-RF: An Efficient Parkinson’s Disease Prediction Model based on Random Forest Classification,” 2022
2022
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