1. H. Lu, J. Han, & L. Feng (2000). Beyond intra-transaction association analysis: mining multidimensional inter-transaction association rules. ACM Transactions on Information Systems, 18(4): 423-454.
2. 2) Agrawal R., Imielinski T. & Swami A. (1993, May). Mining association rules between sets of items in large databases. In Proceedings of the ACM SIGMOD Conference on Management of Data, Washington, D.C., pp. 207-216).
3. Rao S. & Gupta R. (2013, March). Implementing Improved Algorithm over Apriori Data Mining Association Rule Algorithm. International Journal of Computer Science and technology, 3(1): 489-493
4. Jiawei H., Jian P., Yiwen Y. & Mao R. (2000, May). Mining Frequent Patterns without Candidate Generation: A frequent Pattern tree Approach. In Proceedings of 2000 ACM SIGMOD International Conference on Management of Data), ACM press, New York, pp. 1-12.
5. Khurana K. & Sharma S. (2013, May). A Comparative Analysis of Association Rule Mining Algorithms. International Journal of Scientific and Research Publications, 3(5).
6. Kumar R. & Kalia A. (2013, January). A Comparative Study of Association Rule Algorithms for Investment in Related Sector of Stock Market. International Journal of Computer Applications, 62(10).
7. Mewada C. & Morena R. (2016, October). Trie Based Improved Apriori Algorithm to Generate Association Rules. International Journal of Advanced Research in Computer and Communication Engineering, 5(10).
8. Najadat H., Maolegi M. & Arkok B. (2013, June). An Improved Apriori Algorithm for Association Rules. International Research Journal of Computer Science and Application, 1(1): 01 – 08.
9. Philippe Fournier-Viger, Cheng-Wei Wu & Vincent S. Tseng. (2012, April). Mining Top-K Association Rules. In Proceedings of the 25th Canadian conference on Advances in Artificial Intelligence, (pp. 61-73).
10. Agrawal R. & Srikant R. (1994, September). Fast algorithms for mining association rules. In Proceedings of the 20th Conference on Very Large Databases, Santiago, Chile, pp. 487-499.
11. Agriddi R. & Apte S. (2012, February). Future Trend Prediction of Indian IT Stock Market using Association Rule Mining of Transaction data. International Journal of Computer Applications, 39(10).
12. Argiddi R. & Apte S. (2012, March). Fragment Based Approach to Forecast Association Rules from Indian IT Stock Transaction Data. International Journal of Computer Science and Information Technologies, 3(2): 3493-3497.
13. Argiddi R. & Apte S. (2012, September). A Study of Association Rule Mining in Fragmented Item-Sets for Prediction of Transactions Outcome in Stock Trading Systems. International Journal of Computer Engineering & Technology (IJCET), 3(2): 478-486.
14. Bafna P., Metkewar P. & Gokhale A. (2014, February). Comparative Analysis of Apriori and Improved Apriori Algorithm. International Journal of Emerging Technologies in Computational and Applied Sciences (IJETCAS), 7(2): 135-143.
15. Baviskar S. & Namdev N. (2015, August). Analyzing and Predicting Stock Market Using Data Mining techniques – A Review. International Journal of Innovative Research in Technology, 2(3).
16. Kaur S. & Mangat V. (2012, January). Applications of Data Mining in Stock Market. Journal of Information and Operations Management, 3(1): 86-88.
17. Kawaller I., Koch P. & Koch T. (1987, December). The Temporal Price Relationship between S&P 500 Futures and the S&P 500 Index. The Journal of Finance, 11(5).