How to cite this paper
Mittal, M., Pareek, S & Agarwal, R. (2015). EOQ estimation for imperfect quality items using association rule mining with clustering.Decision Science Letters , 4(4), 497-508.
Refrences
Agrawal, R. & Srikant, R. (1994). Fast algorithm for mining association rules, Proceedings of the 20th International Conference on Very Large Data Bases, Chile (pp. 487-499).
AL-Zawaidah, F.H., Jbara, Y. H. & Marwan, A. A. (2011). An improved algorithm for mining association rules in large databases, World of Computer Science and Information Technology Journal, 1(7), 311-316.
Anand, S.S., Hughes, J.G., Bell, D.A. & Patrick, A.R. (1997). Tackling the cross-sales problem using data mining, Proceedings of the 2nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, Hongkong (pp. 331-343).
Broder, A.Z., Glassman, S.C., Manasse, M.S., & Zweig, G. (1997). Syntactic clustering of the web, Journal of Computer Networks and ISDN Systems, 29(8), 1157-1166.
Guha, S., Rastogi, R. & Shim, K. (2000). A robust clustering algorithm for categorical attributes. Information System, 25(5), 345-366.
Han, J., & Kamber, M. (2001). Data Mining: Concepts and Techiniques. Morgan Kaufmann Publishers. Inc., USA.
Jaggi, C.K., Mittal, M. & Khanna, A. (2012). Effects of inspection on retailer & apos; s ordering policy for deteriorating items with time-dependent demand under inflationary conditions. International Journal of Systems and Science, 44(9), 1774-1782.
Jaggi, C.K. & Mittal, M. (2012). Retailer ordering policy for deteriorating items with initial inspection and allowable shortage under the condition of permissible delay in payments. International Journal of Applied Industrial Engineering, 1(1), 46-79.
Jaggi, C.K. & Mittal, M. (2011). Economic order quantity model for deteriorating items with imperfect quality. International Journal Revista Invetigacion Operacional, 32(2), 107-113.
Jaggi, C.K., Goel, S.K. & Mittal, M. (2013). Credit financing in economic ordering policies for defective items with allowable shortages. International Journal of Applied Mathematics and Computation, 219(10), 5268–5282.
Jaggi, C.K., Goel, S.K. & Mittal, M. (2011). Economic order quantity model for deteriorating items with imperfect quality and permissible delay on payments. International Journal of Industrial Engineering Computations, 2(2), 237-248.
Kaku, I. (2004). A data mining framework for classification of inventories. Proceedings of the 5th International Conference on Management, Australia (pp. 450-455).
Lee, H.L. & Rosenblatt, M.J. (1987). Simultaneous determination of production cycles and inspection schedules in a production system. Management Science, 33(9), 1125-1137.
Lindell, Y. & Pinkas, B. (2002). Privacy preserving data mining. Journal of Cryptography, 15(3), 177-206.
Maddah, B. & Jaber, M. Y. (2008). Economic production quantity model for items with imperfect quality: Revisited. International Journal of Production Economics, 112(2), 808-815.
Maddah, B., Salameh, M.K. & Moussawi- Haider, L. (2010). Order overlapping: A practical approach for preventing shortages during screening. Computer and Industrial Engineering, 58(4), 691-695.
Mittal, M., Pareek, S., & Agarwal, R. (2014). Efficient ordering policy for imperfect quality items using
association rule mining. Encyclopedia of Information Science and Technology 3rd ed., United States, Information Science Publishing, pp. 773-786.
Porteus, E.L. (1986). Optimal lot sizing, process quality improvement and setup cost reduction. Operations Research, 34(1), 137-144.
Papachristos, S. & Kontantaras, I. (2006). Economic ordering quantity models for items with imperfect quality. International Journal of Production Economics, 100(1), 148–154.
Rosenblatt, M.J. & Lee, H.L. (1986). Economic production cycles with imperfect production processes. IIE Transactions, 18(1), 48-55.
Salameh, M.K. & Jaber, M.Y. (2000). Economic production quantity model for item with imperfect quality. International Journal of Production Economics, 64(1), 59-64.
Wang, K., Xu, C. & Liu, B. (1999). Clustering transactions using large item. ACM CIKM International Conference on Information and Knowledge Management, New York (pp. 483-490).
Wee H.M., Yu J. & Chen M.C. (2007). Optimal inventory model for items with imperfect quantity and shortage backordering. OMEGA, 35(1), 7-11.
Zhao, Q. & Bhowmick, S.S. (2003). Association rule mining: A survey, (Report No. 2003118), Center for advanced information systems, Nanyang Technological University, Singapore.
AL-Zawaidah, F.H., Jbara, Y. H. & Marwan, A. A. (2011). An improved algorithm for mining association rules in large databases, World of Computer Science and Information Technology Journal, 1(7), 311-316.
Anand, S.S., Hughes, J.G., Bell, D.A. & Patrick, A.R. (1997). Tackling the cross-sales problem using data mining, Proceedings of the 2nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, Hongkong (pp. 331-343).
Broder, A.Z., Glassman, S.C., Manasse, M.S., & Zweig, G. (1997). Syntactic clustering of the web, Journal of Computer Networks and ISDN Systems, 29(8), 1157-1166.
Guha, S., Rastogi, R. & Shim, K. (2000). A robust clustering algorithm for categorical attributes. Information System, 25(5), 345-366.
Han, J., & Kamber, M. (2001). Data Mining: Concepts and Techiniques. Morgan Kaufmann Publishers. Inc., USA.
Jaggi, C.K., Mittal, M. & Khanna, A. (2012). Effects of inspection on retailer & apos; s ordering policy for deteriorating items with time-dependent demand under inflationary conditions. International Journal of Systems and Science, 44(9), 1774-1782.
Jaggi, C.K. & Mittal, M. (2012). Retailer ordering policy for deteriorating items with initial inspection and allowable shortage under the condition of permissible delay in payments. International Journal of Applied Industrial Engineering, 1(1), 46-79.
Jaggi, C.K. & Mittal, M. (2011). Economic order quantity model for deteriorating items with imperfect quality. International Journal Revista Invetigacion Operacional, 32(2), 107-113.
Jaggi, C.K., Goel, S.K. & Mittal, M. (2013). Credit financing in economic ordering policies for defective items with allowable shortages. International Journal of Applied Mathematics and Computation, 219(10), 5268–5282.
Jaggi, C.K., Goel, S.K. & Mittal, M. (2011). Economic order quantity model for deteriorating items with imperfect quality and permissible delay on payments. International Journal of Industrial Engineering Computations, 2(2), 237-248.
Kaku, I. (2004). A data mining framework for classification of inventories. Proceedings of the 5th International Conference on Management, Australia (pp. 450-455).
Lee, H.L. & Rosenblatt, M.J. (1987). Simultaneous determination of production cycles and inspection schedules in a production system. Management Science, 33(9), 1125-1137.
Lindell, Y. & Pinkas, B. (2002). Privacy preserving data mining. Journal of Cryptography, 15(3), 177-206.
Maddah, B. & Jaber, M. Y. (2008). Economic production quantity model for items with imperfect quality: Revisited. International Journal of Production Economics, 112(2), 808-815.
Maddah, B., Salameh, M.K. & Moussawi- Haider, L. (2010). Order overlapping: A practical approach for preventing shortages during screening. Computer and Industrial Engineering, 58(4), 691-695.
Mittal, M., Pareek, S., & Agarwal, R. (2014). Efficient ordering policy for imperfect quality items using
association rule mining. Encyclopedia of Information Science and Technology 3rd ed., United States, Information Science Publishing, pp. 773-786.
Porteus, E.L. (1986). Optimal lot sizing, process quality improvement and setup cost reduction. Operations Research, 34(1), 137-144.
Papachristos, S. & Kontantaras, I. (2006). Economic ordering quantity models for items with imperfect quality. International Journal of Production Economics, 100(1), 148–154.
Rosenblatt, M.J. & Lee, H.L. (1986). Economic production cycles with imperfect production processes. IIE Transactions, 18(1), 48-55.
Salameh, M.K. & Jaber, M.Y. (2000). Economic production quantity model for item with imperfect quality. International Journal of Production Economics, 64(1), 59-64.
Wang, K., Xu, C. & Liu, B. (1999). Clustering transactions using large item. ACM CIKM International Conference on Information and Knowledge Management, New York (pp. 483-490).
Wee H.M., Yu J. & Chen M.C. (2007). Optimal inventory model for items with imperfect quantity and shortage backordering. OMEGA, 35(1), 7-11.
Zhao, Q. & Bhowmick, S.S. (2003). Association rule mining: A survey, (Report No. 2003118), Center for advanced information systems, Nanyang Technological University, Singapore.