Journal of Applied Information Science

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

An Optimal and Progressive Algorithm for Skyline Operator


Affiliations
1 Department of Computer Science, GATE College, Tirupati, Andhra Pradesh, India
     

   Subscribe/Renew Journal


This cutting-edge, with the development of web enterprise, a growing degree of clients go out around to store money on the internet. To and out pleasing contraptions from net organized searching out commercial enterprise facilities, a horizon question is a useful tool which suggests furthermore enrapturing and first-rate determinations for consumers. The horizon question and its interpretations were widely explored. Be that as it is going to, to the decent of our notion, they have got in no way once more idea about the judgments of patron’s especially beneficial programming occasions. Beginning late, net centred searching mechanical natural environment [1, 2, 3] for the maximum degree maintain up a couple of price advancement battles to haul in clients and enlargement their buy desire. Veritable across the prerequisites of customers proper now issue, we’re nerve-racking over perspective selection below cost development. We outline an obliged first-rate factor be a bit of (COPC) downside. It would like to fi nd out the horizon factor blends which each meet a benefactor’s guidance to pay and bring seemingly the maximum proper cut price value. The COPC square is signifi cant to expose floor-breaking preference assistance for clients beneath extraordinarily worth development, that is certifi ed thru a customer look at. To method the COPC trouble sensibly, we fi rst advise a rundown cautious (TLE) tally. The COPC bother is ended up being NP-tough and the TLE estimation isn’t continuously versatile in delicate of the manner that it needs to method an exponential measure of thing blends. Similarly, we plan a decrease without query inconvenient (LBA) estimation that has to make sure in respects to the exactness of the consequences and a creative getting a deal with on (IG) figuring that has beguiling execution. The evaluation final product exhibits the understanding of ability and sensibility of our proposed tallies.

Keywords

Data Management, NP-Hard, Price Promotion, Skyline Query.
Subscription Login to verify subscription
User
Notifications
Font Size


  • A. Bogomolov, B. Lepri, M. Ferron, F. Pianesi, and A. Pentland, “Daily stress recognition from mobile phone data, weather conditions and individual traits,” In Proceedings of the 22nd ACM International Conference on Multimedia (MM’14), pp. 477-486, 2014.

  • C. Buckley, and E. M. Voorhees, “Retrieval evaluation with incomplete information,” In Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’04), pp. 25-32, 2004.

  • X. Chang, Y. Yang, A. G. Hauptmann, E. P. Xing, and Y.-L. Yu, “Semantic concept discovery for large-scale zero-shot event detection,” In Proceedings of the 24th International Conference on Artificial Intelligence (IJCAI’15), pp. 2234-2240, 2015.

  • W. Che, Z. Li, and T. Liu, “LTP: A Chinese language technology platform,” In Proceedings of the Coling 2010: Demonstrations, pp. 13-16, 2010.

  • C. C. Chang, and C.-J. Lin, “LIBSVM: A library for support vector machines,” ACM Transactions on Intelligent Systems and Technology, vol. 2, no. 3, pp. 389-396, 2001.

  • D. C. Ciresan, U. Meier, J. Masci, L. M. Gambardella, and J. Schmidhuber, “Flexible, high performance convolutional neural networks for image classification,” In Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI’11), pp. 1237-1242, 2011.

  • S. Cohen, and A. W. Thomas, “Stress, social support, and the buffering hypothesis,” Psychological Bulletin, vol. 98, no. 2, pp. 310-357, 1985.

  • G. Coppersmith, C. Harman, and M. Dredze, “Measuring post-traumatic stress disorder in twitter,” In Proceedings of the 8th International AAAI Conference on Weblogs and Social Media, pp. 579-582, 2014.

  • R. Fan, J. Zhao, Y. Chen, and K. Xu, “Anger is more influential than joy: Sentiment correlation in weibo,” PLoS One, vol. 9, article no. e110184, 2014.

  • Z. Fang, X. Zhou, J. Tang, W. Shao, A. C. M. Fong, L. Sun, Y. Ding, L. Zhou, and J. Luo, “Modeling paying behavior in game social networks,” In Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM’14), pp. 411-420, 2014.

  • G. Farnadi, G. Sitaraman, S. Sushmita, F. Celli, M. Kosinski, D. Stillwell, S. Davalos, M.-F. Moens, and M. D. Cock, “Computational personality recognition in social media,” User Model and User-Adapted Interaction, vol. 26, pp. 109-142, 2016.

  • E. Fischer, and A. R. Reuber, “Social interaction via new social media: (How) can interactions on Twitter affect effectual thinking and behavior?,” Journal of Business Venturing, vol. 26, no. 1, pp. 1-18, 2011.

  • J. H. Friedman, “Greedy function approximation: A gradient boosting machine,” The Annals of Statistics, vol. 29, no. 5, pp. 1189-1232, 1999.

  • R. Gao, B. Hao, H. Li, Y. Gao, and T. Zhu, “Developing simplified Chinese psychological linguistic analysis dictionary for microblog,” In Proceeding of the International Conference on Brain and Health Informatics, pp. 359-368, 2013.

  • J. Gettinger, and S. T. Koeszegi, “More than words: The effect of emoticons in electronic negotiations,” In B. Kaminski, G. Kersten, and T. Szapiro, Outlooks and Insights on Group Decision and Negotiation, Lecture Notes in Business Information Processing (LNBIP 218), pp. 289-305, Berlin, Germany: Springer, 2015.

  • J. Golbeck, C. Robles, M. Edmondson, and K. Turner, “Predicting personality from Twitter,” In Proceedings of the 2011 IEEE International Conference on Privacy, Security, Risk, and Trust, and IEEE International Conference on Social Computing, pp. 149-156, 2011.

  • M. S. Granovetter, “The strength of weak ties,” American Journal of Sociology, vol. 78, no. 6, pp. 1360-1380, 1973.

  • Q. Guo, J. Jia, G. Shen, L. Zhang, L. Cai, and Z. Yi, “Learning robust uniform features for cross-media social data by using cross autoencoders,” Knowledge-Based Systems, vol. 102, pp. 64-75, 2016.

  • D. W. Hosmer, S. Lemeshow, and R. X. Sturdivant, Applied Logistic Regression, Hoboken, NJ, USA: Wiley, 2013.

  • S. J. Hwang, “Discriminative object categorization with external semantic knowledge,” 2013.


Abstract Views: 267

PDF Views: 0




  • An Optimal and Progressive Algorithm for Skyline Operator

Abstract Views: 267  |  PDF Views: 0

Authors

Bhavana Chigurupati
Department of Computer Science, GATE College, Tirupati, Andhra Pradesh, India

Abstract


This cutting-edge, with the development of web enterprise, a growing degree of clients go out around to store money on the internet. To and out pleasing contraptions from net organized searching out commercial enterprise facilities, a horizon question is a useful tool which suggests furthermore enrapturing and first-rate determinations for consumers. The horizon question and its interpretations were widely explored. Be that as it is going to, to the decent of our notion, they have got in no way once more idea about the judgments of patron’s especially beneficial programming occasions. Beginning late, net centred searching mechanical natural environment [1, 2, 3] for the maximum degree maintain up a couple of price advancement battles to haul in clients and enlargement their buy desire. Veritable across the prerequisites of customers proper now issue, we’re nerve-racking over perspective selection below cost development. We outline an obliged first-rate factor be a bit of (COPC) downside. It would like to fi nd out the horizon factor blends which each meet a benefactor’s guidance to pay and bring seemingly the maximum proper cut price value. The COPC square is signifi cant to expose floor-breaking preference assistance for clients beneath extraordinarily worth development, that is certifi ed thru a customer look at. To method the COPC trouble sensibly, we fi rst advise a rundown cautious (TLE) tally. The COPC bother is ended up being NP-tough and the TLE estimation isn’t continuously versatile in delicate of the manner that it needs to method an exponential measure of thing blends. Similarly, we plan a decrease without query inconvenient (LBA) estimation that has to make sure in respects to the exactness of the consequences and a creative getting a deal with on (IG) figuring that has beguiling execution. The evaluation final product exhibits the understanding of ability and sensibility of our proposed tallies.

Keywords


Data Management, NP-Hard, Price Promotion, Skyline Query.

References