Pricing analysis in online auctions using clustering and regression tree approach

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7103 LNAI, Issue , 2012, Pages 248-257

  Kaur, Preetinder ^a   Goyal, Madhu ^a   Lu, Jie ^a  

^a UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

Bidding strategies; Clustering; Data mining; Online auctions; Price forecasting; Regression trees

Indexed keywords

ANALYSIS OF VARIANCE (ANOVA); AUTONOMOUS AGENTS; COMMERCE; COSTS; DATA MINING; ELECTRONIC COMMERCE; FORECASTING; REGRESSION ANALYSIS; TREES (MATHEMATICS);

BIDDING STRATEGY; CLUSTERING; ONLINE AUCTIONS; PRICE FORECASTING; REGRESSION TREES;

CLUSTERING ALGORITHMS;

ALGORITHMS; COSTS; DATA PROCESSING; FORECASTS; FORESTRY; REGRESSION ANALYSIS;

EID: 84979828438     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-27609-5_16     Document Type: Conference Paper

References (14)

1. Zhang, S., Jank, W., Shmueli, G.: Real-time forecasting of online auctions via functional K-nearest neighbors. International Journal of Forecasting (2010)
2. Ghani, R., Simmons, H.: Predicting the end-price of online auctions. In: Proceedings of the International Workshop on Data Mining and Adaptive Modeling Methods for Economics and Management, Held in Conjunction with the 15th European Conference on Machine Learning (2004)
3. Guo, W., Chen, D., Shih, T.: Automatic forecasting agent for e-commerce applications. In: 20th International Conference on Advanced Information Networking and Applications (AINA 2006), pp. 1-4 (2006)
4. Kehagias, D.D., Mitkas, P.A.: Efficient E-Commerce Agent Design Based on Clustering eBay Data. In: IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Workshops, pp. 495-498 (2007)
5. Xuefeng, L., Lu, L., Lihua, W., Zhao, Z.: Predicting the final prices of online auction items. Expert Systems with Applications 31, 542-550 (2006) (Pubitemid 43831634)
6. Heijst, D., Potharst, R., Wezel, M.: A support system for predicting ebay end prices. Econometric Institute Report (2006)
7. Nikolaidou, V., Mitkas, P.A.: A Sequence Mining Method to Predict the Bidding Strategy of Trading Agents. In: Cao, L., Gorodetsky, V., Liu, J., Weiss, G., Yu, P.S. (eds.) ADMI 2009. LNCS, vol. 5680, pp. 139-151. Springer, Heidelberg (2009)
8. Jank, W., Shmueli, G.: Profiling price dynamics in online auctions using curve clustering. Technical report, Smith School of Business, University of Maryland, pp. 1-28 (2005)
9. Greenwald, A., Stone, P.: Autonomous bidding agents in the trading agent competition. IEEE Internet Computing, 52-60 (2001) (Pubitemid 32380529)
10. Byde, A., Preist, C., Jennings, N.: Decision procedures for multiple auctions. In: ACM First International Joint Conf. on Autonomous Agents and Multi-Agent Systems, pp. 613-620 (2002) (Pubitemid 34975232)
11. Anthony, P., Jennings, N.: Evolving bidding strategies for multiple auctions. In: Proc. of 15th European Conf. Artificial Intelligence, pp. 178-182 (2002)
12. Cao, L., Gorodetsky, V., Mitkas, P.A.: Agent Mining: The Synergy of Agents and Data Mining. IEEE Intelligent Systems 24(3), 64-72 (2009)
13. Goyal, M., Kaushik, S., Kaur, P.: Automated Fuzzy Bidding Strategy for Continuous Double Auctions Using Trading Agents Attitude and Market Competition. International Journal of Agent Technologies and Systems 2(4) (2010)
14. Min, Z., Qiwan, W.: The On-line Electronic Commerce Forecast Based on Least Square Support Vector Machine. In: Second International Conference on Information and Computing Science, ICIC 2009, vol. 2, pp. 75-78 (2009)