A Generic Internet Trading Framework for Online Auctions

2011 ◽  
pp. 163-177
Author(s):  
Dong-Qing Yao ◽  
Haiying Qiao ◽  
Haibing Qiao

In this chapter, we introduce a generic Internet trading framework for online auctions. We present the requirements and service of the framework. A generic OR/XOR bidding language that can express different OR/XOR combinations is adopted for Web interfaces. The framework is implemented with free open-source technologies already successfully tested in industries. Researchers can use the platform to implement different electronic-market mechanisms, simulate the market behavior of their interests, and experiment with it. We also provide future directions for the framework design.

Author(s):  
Dong-Qing Yao ◽  
Dong-Qing Qiao ◽  
Haibing Qiao

In this chapter, we introduce a generic Internet trading framework for online auctions. We present the requirements and service of the framework. A generic OR/XOR bidding language that can express different OR/XOR combinations is adopted for Web interfaces. The framework is implemented with free open-source technologies already successfully tested in industries. Researchers can use the platform to implement different electronic-market mechanisms, simulate the market behavior of their interests, and experiment with it. We also provide future directions for the framework design.


Author(s):  
Haiying Qiao ◽  
Hui Jie ◽  
Dong-Qing Yao

In this chapter we present a generic electronic market platform that is designed to run different kinds of auctions and exchanges. Researchers can use the platform to implement different electronic market mechanisms, simulate the market behavior of their interests, and experiment with it. A generic OR/XOR bidding language that can express different OR/XOR combinations is implemented for Web interfaces. Different auctions including combinatorial auctions, multiple-round reverse auctions and multiple homogeneous good auctions have been built and run successfully on the platform.


Author(s):  
Richard S. Segall

This chapter discusses four-selected software for data mining that are not available as free open-source software. The four-selected software for data mining are SAS® Enterprise MinerTM, Megaputer PolyAnalyst® 5.0, NeuralWare Predict® and BioDiscovery GeneSight ®, each of which was provided by partnerships with our university. These software are described and compared by their existing features, characteristics, and algorithms and also applied to a large database of forest cover types with 63,377 rows and 54 attributes. Background on related literature and software are also presented. Screen shots of each of the four-selected software are presented, as are future directions and conclusions.


2019 ◽  
Vol 26 (1) ◽  
pp. e100004 ◽  
Author(s):  
Athanasios Kotoulas ◽  
Ioannis Stratis ◽  
Theodoros Goumenidis ◽  
George Lambrou ◽  
Dimitrios - Dionysios Koutsouris

ObjectiveAn intranet portal that combines cost-free, open-source software technology with easy set-up features can be beneficial for daily hospital processes. We describe the short-term adoption rates of a costless content management system (CMS) in the intranet of a tertiary Greek hospital.DesignDashboard statistics of our CMS platform were the implementation assessment of our system.ResultsIn a period of 10 months of running the software, the results indicate the employees overcame ‘Resistance to Change’ status. The average growth rate of end users who exploit the portal services is calculated as 2.73 every 3.3 months.ConclusionWe found our intranet web-based portal to be acceptable and helpful so far. Exploitation of an open-source CMS within the hospital intranet can influence healthcare management and the employees’ way of working as well.


Procedia CIRP ◽  
2014 ◽  
Vol 25 ◽  
pp. 253-260 ◽  
Author(s):  
Oladipupo Olaitan ◽  
John Geraghty ◽  
Paul Young ◽  
Georgios Dagkakis ◽  
Cathal Heavey ◽  
...  

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