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Recent advances in the Internet, in data mining, and in security technologies have gave rise to a new stream of research, known as privacy preserving data mining (PPDM). PPDM technologies allow us to extract relevant knowledge from a large amount of data, while hide sensitive data or information from disclosure. Several research questions have often being asked: (1) what kind of option available for...
Developing simple and effective algorithms for detecting cardiovascular diseases (CVDs) using smartphones has been the trend of research in pervasive healthcare. This paper proposes an efficient R-wave detection algorithm and tested it in an Android Smartphone. We use the complete datasets of MIT-BIH arrhythmia database to verify its relative performance with three other algorithms. Our results show...
Recently, the advantages of RFID make it the focus of supply chain research areas, so it is critical to do cost-benefit analysis on RFID investment. By assuming a simple scenario of RFID application on pharmaceutical supply chain and comparing the processes before and after RFID application, this paper analyzes RFID cost and benefit quantitatively, and offers the corresponding formula, finally proposes...
Process mining has been widely applied in lots of fields, which can discover workflow models from event logs, helps to design or re-design process models, and brings convenience to workflow management system. The main function of process mining algorithms is to provide us with valuable objective information hidden in event logs, which plays a crucial important role on the implementation of new operation...
This paper examines published data to develop a model of Logistic Regression for detecting factors associated with Fraudulent Financial Statement (FFS). After an exhaustive exploitation of prior work used financial ratios, 21 ratios are selected as potential predictors of FFS and a series of experiments have been conducted to determine the optimal parameters for Logistic model. Then, we propose an...
One major roadblock for RFID adoption is to justify its return on investment. Most researchers used cost/benefit analysis, discount cash flow, or net present value method to support the decision; however, these methods does not consider uncertainties and lack flexibility when valuate the investment in RFID. In this paper, we examine the uncertainties and risks associated with RFID investment and propose...
Recently, RFID technology is becoming the focus of the research. It can be applied into several industries including pharmaceutical. Most of RFID researchers throw their power on the benefits and investment evaluation, but none of a more comprehensive framework for RFID application exists as a reference for application in pharmaceutical Industry. In this paper, we examine open literature and industry...
Nationwide, financial losses due to financial statement frauds (FSF) are mounting. The industry recognizes the problem and is just now starting to act. Although prevention is the best way to reduce frauds, fraudsters are adaptive and will usually find ways to circumvent such measures. Detecting fraud is essential once prevention mechanism has failed. Several data mining algorithms have been developed...
Cellular manufacturing (CM) has been recognized as an innovative practice for companies to gain efficiency as well as flexibility under today’s small-to-medium lot and customization-oriented manufacturing environment. Among the necessary decisions for a successful CM implementation, cell formation (CF), group layout (GL) and group scheduling (GS) are the three most popular ones. These decisions are...
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