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This paper analyzes the credit risks existed in Chinapsilas C-C e-commerce market, which mainly lie in two kinds of dishonesty: dishonesty in transaction and dishonesty in evaluation. We found that the high transaction risk in Chinapsilas C-C market is rooted in low probability of punishment and high cost of implementing a punishment, while the dishonesty in credit rating is rooted in low transaction...
Wireless sensor network (WSN) is a novel technology in acquiring and processing information and has been an active research area in recent years. In this paper, firstly, a high reliability routing protocol is designed which is able to rapidly detect the change of topological and routing information of network, choose the best route, recover route when some nodes damaged. Secondly, the basic information...
Flash memory, especially NAND flash memory, is being rapidly deployed as data storage for mobile devices such as mobile phones, digital cameras and PDApsilas. With its capacity increasing and price dropping, flash memory has been installed in many portable computers instead of magnetic disk for its light weight, small size, physical stability and low power consumption. We may expect that flash memory...
Nowadays, most online trading platforms are based on J2EE technology. However, the online trading platform only supports the typical B2B online trading among enterprises which cannot exchange information with the online trading platform based on agent mobile and hasnpsilat intelligent feature. In this paper, we propose a new online trading platform model based on J2EE which meets the requirements...
Wireless sensor network is applied widely in monitoring system of coal mine. An application environment of WSN in coal mine is analyzed to satisfy the data acquirement of mine monitoring. The result of analysis shows that routing protocols applied in coal mine should have four characteristics: data-centric routing mechanism, supporting query of geographic position information, low delay and high reliability...
Modern organizations are geographically distributed. Using the traditional centralized association rule mining to discover useful patterns in such distributed system is not always feasible because merging data sets from different sites into a centralized site incurs huge network communication and time costs. This paper presents an efficient distributed association rule mining (ED-ARM) algorithm to...
The clustering about relational databases is an active study subject in data mining. In this paper, we introduce a multi-relational hierarchical clustering algorithm based on shared nearest neighbor similarity (MHSNNS). First, this algorithm joins every table through the tuple 1D propagation. Then, groups objects into a large number of relatively small sub-clusters using the shared nearest neighbor...
While many data mining models concentrate on automation and efficiency, interactive data mining models focus on adaptive and effective communications between human users and computer systems. User views, preferences, strategies and judgments play the most important roles in human-machine interactivities, guide the selection of target knowledge representations, operations, and measurements. Practically,...
iQuest is a novel software system to improve understanding of organizational phenomena with greater precision, clarity, and granularity than has previously been possible. It permits to gain new insights into organizational behavior, addressing issues such as tracking information while respecting privacy, comparing different interaction channels, network membership, and correlating organizational performance...
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