An information-theoretic analysis of hard and soft assignment methods for clustering
Proceedings of the NATO Advanced Study Institute on Learning in graphical models
Insights and analyses of online auctions
Communications of the ACM
Clustering Algorithms
Feature Selection for Knowledge Discovery and Data Mining
Feature Selection for Knowledge Discovery and Data Mining
Scaling for E Business: Technologies, Models, Performance, and Capacity Planning
Scaling for E Business: Technologies, Models, Performance, and Capacity Planning
Data mining tasks and methods: Classification: the goal of classification
Handbook of data mining and knowledge discovery
Exploratory Data Mining and Data Cleaning
Exploratory Data Mining and Data Cleaning
Hierarchical Density-Based Clustering of Uncertain Data
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Analyzing seller practices in a Brazilian marketplace
Proceedings of the 18th international conference on World wide web
Seller Strategies for Differentiation in Highly Competitive Online Auction Markets
Journal of Management Information Systems
Seller Strategies for Differentiation in Highly Competitive Online Auction Markets
Journal of Management Information Systems
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Online auction services have reached great popularity and revenue over the last years. A key component for this success is the seller. Few studies proposed analyzing how the seller and the auction configuration affect the negotiation results. In this work we propose a methodology to characterize online auctions by the seller's perspective. This methodology is based on: (1) recognizing the characteristics of the variables related to the auction results and (2) capturing the correlation among these variables to identify seller profiles and selling strategies. We applied our methodology to a real case study, using an eBay dataset, to validate two hypotheses about sellers and their practices. These results are useful to understand the complex mechanisms that guide ending prices, success (or failure), and the attraction of bids in online auctions, which can support decision strategies for buyers and sellers.