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Zhengrui Jiang
Iowa State University
Data miningRevenueOperations managementSoftwareComputer science
26Publications
8H-index
257Citations
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Publications 28
Newest
#1Haiyang FengH-Index: 4
#2Zhengrui JiangH-Index: 8
Last. Nan FengH-Index: 1
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Data is becoming an increasingly important asset in today’s organizations. Various challenges in the age of big data, such as high volume and high velocity, call for efficient database maintenance policies. This study focuses on deriving an optimal synchronization policy for consolidated database systems. By trading off synchronization cost with data staleness cost, we propose a time-based dynamic synchronization (TDS) policy, which evaluates the system state at predetermined checkpoints and syn...
#1Mingzheng Wang (ZJU: Zhejiang University)H-Index: 1
#2Zhengrui Jiang (Iowa State University)H-Index: 8
Last. Haifang Yang (DUT: Dalian University of Technology)H-Index: 1
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Privacy-preserving data publishing has received much attention in recent years. Prior studies have developed various algorithms such as generalization, anatomy, and L-diversity slicing to protect individuals’ privacy when transactional data are published for public use. These existing algorithms, however, all have certain limitations. For instance, generalization protects identity privacy well but loses a considerable amount of information. Anatomy prevents attribute disclosure and lowers inform...
1 CitationsSource
As a new software licensing model, software-as-a-service (SaaS) is gaining tremendous popularity across the globe. In this study, we investigate the competition between a new entrant and an incumbent in a SaaS market, and derive the optimal market entry strategy for the new entrant. One interesting finding is that, when the new entrant’s product is fully compatible with that of the incumbent, but has a significantly lower quality, the new entrant should adopt an instant-release strategy, i.e., r...
3 CitationsSource
#1Sudip Bhattacharjee (UConn: University of Connecticut)H-Index: 15
#2Varghese S. Jacob (UTD: University of Texas at Dallas)H-Index: 20
Last. Subodha Kumar (TU: Temple University)H-Index: 16
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#1Wei Zong (Xidian University)H-Index: 1
#2Feng Wu (Xi'an Jiaotong University)H-Index: 1
Last. Zhengrui Jiang (Iowa State University)H-Index: 8
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In order to maximize the value of an organization's data assets, it is important to keep data in its databases up-to-date. In the era of big data, however, constantly changing data sources make it a challenging task to assure data timeliness in enterprise systems. For instance, due to the high frequency of purchase transactions, purchase data stored in an enterprise resource planning system can easily become outdated, affecting the accuracy of inventory data and the quality of inventory replenis...
4 CitationsSource
#1Yuanfeng Cai (CUNY: City University of New York)H-Index: 2
#2Zhengrui Jiang (Iowa State University)H-Index: 8
Last. Vijay S. MookerjeeH-Index: 24
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Input distortion is a common problem faced by expert systems, particularly those deployed with a Web interface. In this study, we develop novel methods to distinguish liars from truth-tellers, and redesign rule-based expert systems to address such a problem. The four proposed methods are termed split tree (ST), consolidated tree (CT), value-based split tree (VST), and value-based consolidated tree (VCT), respectively. Among them, ST and CT aim to increase an expert system’s accuracy of recommend...
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#1Zhengrui Jiang (Iowa State University)H-Index: 8
#2Kevin P. Scheibe (Iowa State University)H-Index: 10
Last. Xinxue Shawn Qu (Iowa State University)
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A growing number of software firms now rely on public beta testing to improve the quality of their products before commercial release. While the benefits resulting from improved software reliability are well recognized, some important market-related benefits have not been studied. Through word-of-mouth, public beta testers can accelerate the diffusion of a software product after its release. Additionally, because of network effects, public beta testers can increase users’ valuation of a product....
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#1Wei Zong (Ministry of Education)H-Index: 1
#2Feng Wu (Ministry of Education)H-Index: 1
Last. Yi Qu (Ministry of Education)
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In the age of big data, it is a challenging task for ERP systems to maintain data timeliness over changing data sources. Purchase data is an important dynamic data and its timeliness directly affects the accuracy of inventory data and purchase plans. According to the characteristics of Markov decision process, we design a dynamic programming algorithm to obtain the optimal purchase data updating policy. Its effectiveness is tested by comparing with traditional fixed interval policies with real-l...
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