Abstract
The necessity of dominance and skyline analysis has been developed in multi-level solution creating applications. Earlier researches stares on the way to help users to get a set of efficient possible products from a stream of available products. In this paper, we explored different crisis of a problem, retrieving top-k preferable products, which are not explored in previous researches. Available a set of products in the existing system, we are in need to hunt a set of k efficient available products incase these new ones are not influenced by the products which are already present in the old market. We research couple of problems of getting top-k preferable products. In the first crisis instance, we are in situation to set the cost of these products in that way the complete profit is increased. Those products which are capable known as top-k profitable products. Approaching to another problem or crisis, we are in need to get k products in that way these k products are capable of attracting the huge number of users. Such products are referred as top-k products. Moreover, there are a multiple number of available subsets. In this paper, we prefer solutions to get the top-k profitable products which are of accurate in nature and also the top-k popular products efficiently. An extreme working research by utilizing both synthetic and real data sets is referred to examine the accuracy and efficiency of referred algorithm.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Borzsonyi, S., Kossmann, D., Stocker, K.: The Skyline Operator. In: Proc. Int’l Conf. Data Eng. (ICDE) (2001)
Bently, J.L., Kung, H.T., Schkolnick, M., Thompson, C.D.: On the Average Number of Maxima in a Set of Vectors and Applications. J. ACM 25(4), 536–543 (1978)
Bently, J.L., Clarkson, K.L., Levine, D.B.: Fast Linear Expected-Time Algorithmsfor Computing Maxima and Convex Hulls. In: Proc. First Ann. ACM-SIAM Symp. Discrete Algorithms (SODA) (1990)
Barndorff-Nielson, O., Sobel, M.: On the Distribution of the Number of Admissible Points in a Vector Random Sample. Theory of Probability and Its Application 11 (1966)
Hockhbaum, D.S.: Approximating Covering and Packing Problems: Set Cover, Vertex Cover, Independent Set, and Related Problems. In: Approximation Algorithms for NP-Hard Problems. PWS Publishing Company (1997)
Jiang, B., Pei, J., Lin, X., Cheung, D.W.-L., Han, J.: Mining Preferences from Superior andInferior Examples. In: Proc. ACM SIGKDD Conf. Knowledge Discovery and Data Mining (2008)
Kang, J.M., Mokbel, M.F., Shekhar, S., Xia, T., Zhang, D.: Continuous Evaluation of Monochromatic and Bichromatic Reverse Nearest Neighbors. In: Proc. Int’l Conf. Data Eng. (ICDE) (2007)
Korn, F., Muthukrishnan, S.: Influence Sets Based on Reverse Nearest Neighbor Queries. In: Proc. ACM SIGMOD Int’l Conf. Management of Data (2000)
Kossmann, D., Ramsak, F., Rost, S.: Shooting Stars in the Sky: An Online Algorithm for Skyline Queries. In: Proc. 28th Int’l Conf. Very Large Data Bases (VLDB) (2002)
Li, B., Ghose, A., Ipeirotis, P.G.: Towards a Theory Model for Product Search. In: Proc. 20th Int’l Conf. World Wide Web (WWW 2011), pp. 327–336 (2011)
Lin, X., Yuan, Y., Zhang, Q., Zhang, Y.: Selecting Stars: The k Most Representative Skyline Operator. In: Proc. Int’l Conf. Data Eng. (ICDE) (2007)
Papadias, D., Tao, Y., Fu, G., Seeger, B.: Progressive Skyline Computation in Database Systems. ACM Trans. Database Systems 30(1), 41–82 (2005)
Sacharidis, D., Papadopoulos, S., Papadias, D.: Topologically-Sorted Skylines for Partially-Ordered Domains. In: Proc. Int’l Conf. Data Eng. (ICDE) (2009)
Stanoi, I., Riedewald, M., Agrawal, D., Abbadi, A.E.: Discovery of Influence Sets in Frequently Updated Databases. In: Proc. Int’l Conf. Very Large Data Bases (VLDB) (2001)
Tan, K.-L., Eng, P., Ooi, B.: Efficient Progressive Skyline Computation. In: Proc. Int’l Conf. Very Large Data Bases (VLDB) (2001)
Tao, Y., Ding, L., Lin, X., Pei, J.: Distance-Based Representative Skyline. In: ICDE 2009: Proc. IEEEInt’l Conf. Data Eng., pp. 892–903 (2009)
Wan, Q., Wong, R.C.-W., Ilyas, I.F., Oz̈su, M.T., Peng, Y.: Creating Competitive Products. In: Proc. VLDB Endowment, vol. 2, pp. 898–909 (2009)
Wan, Q., Wong, R.C.-W., Peng, Y.: Creating Top-K Profitable Products. technical report (2010), http://www.cse.ust.hk/~raywong/paper/createTopKProfitableProduct-technical.pdf
Wan, Q., Wong, R.C.-W., Peng, Y.: FindingTop-K Profitable Products. In: Proc. Int’l Conf. Data Eng. (ICDE) (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Donala, S.R., Archana, M., Srinivas, P.V.S. (2014). Identifying Best Products Based on Multiple Criteria Using Descision Making System. In: Satapathy, S., Avadhani, P., Udgata, S., Lakshminarayana, S. (eds) ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention of Computer Society of India- Vol I. Advances in Intelligent Systems and Computing, vol 248. Springer, Cham. https://doi.org/10.1007/978-3-319-03107-1_68
Download citation
DOI: https://doi.org/10.1007/978-3-319-03107-1_68
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03106-4
Online ISBN: 978-3-319-03107-1
eBook Packages: EngineeringEngineering (R0)