Ha Noi University of Science

Hanoi, Vietnam

Ha Noi University of Science

Hanoi, Vietnam

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Nguyen L.T.T.,Broadcasting College II | Vo B.,Information Technology College | Hong T.-P.,National University of Kaohsiung | Hong T.-P.,National Sun Yat - sen University | Thanh H.C.,Ha Noi University of Science
Expert Systems with Applications | Year: 2012

Classification plays an important role in decision support systems. A lot of methods for mining classification rules have been developed in recent years, such as C4.5 and ILA. These methods are, however, based on heuristics and greedy approaches to generate rule sets that are either too general or too overfitting for a given dataset. They thus often yield high error ratios. Recently, a new method for classification from data mining, called the Classification Based on Associations (CBA), has been proposed for mining class-association rules (CARs). This method has more advantages than the heuristic and greedy methods in that the former could easily remove noise, and the accuracy is thus higher. It can additionally generate a rule set that is more complete than C4.5 and ILA. One of the weaknesses of mining CARs is that it consumes more time than C4.5 and ILA because it has to check its generated rule with the set of the other rules. We thus propose an efficient pruning approach to build a classifier quickly. Firstly, we design a lattice structure and propose an algorithm for fast mining CARs using this lattice. Secondly, we develop some theorems and propose an algorithm for pruning redundant rules quickly based on these theorems. Experimental results also show that the proposed approach is more efficient than those used previously. © 2012 Elsevier Ltd. All rights reserved.


Nguyen L.T.T.,VOV Broadcasting College II | Vo B.,Information Technology College | Hong T.-P.,National University of Kaohsiung | Thanh H.C.,Ha Noi University of Science
Proceedings - 2012 IEEE International Conference on Granular Computing, GrC 2012 | Year: 2012

In this paper, we propose a new method for mining class-association rules using a tree structure. Firstly, we design a tree structure for storing frequent itemsets of datasets. Some theorems for pruning nodes and computing information in the tree are then developed. We then propose an efficient algorithm for mining CARs based on them. Experimental results show that our approach is more efficient than those used previously. © 2012 IEEE.


Nguyen L.T.T.,VOV Broadcasting College II | Vo B.,Information Technology College | Hong T.-P.,National University of Kaohsiung | Thanh H.C.,Ha Noi University of Science
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2012

This paper proposes a new algorithm for classification based on association rule with interestingness measures. The proposed algorithm uses a tree structure for maintenance of related information in each node, thus making the process of generating rules fast. Besides, the proposed algorithm can be easily extended to integrate some measures together for ranking rules. Experiments are also made to show the efficiency of the proposed approach for different settings. The mining time for different interestingness measures is varied only a little when ten measures are integrated. © 2012 Springer-Verlag.


Nguyen L.T.T.,VOV College | Vo B.,Information Technology College | Hong T.-P.,National University of Kaohsiung | Hong T.-P.,National Sun Yat - sen University | Thanh H.C.,Ha Noi University of Science
Expert Systems with Applications | Year: 2013

Building a high accuracy classifier for classification is a problem in real applications. One high accuracy classifier used for this purpose is based on association rules. In the past, some researches showed that classification based on association rules (or class-association rules-CARs) has higher accuracy than that of other rule-based methods such as ILA and C4.5. However, mining CARs consumes more time because it mines a complete rule set. Therefore, improving the execution time for mining CARs is one of the main problems with this method that needs to be solved. In this paper, we propose a new method for mining class-association rule. Firstly, we design a tree structure for the storage frequent itemsets of datasets. Some theorems for pruning nodes and computing information in the tree are developed after that, and then, based on the theorems, we propose an efficient algorithm for mining CARs. Experimental results show that our approach is more efficient than those used previously. © 2012 Elsevier Ltd. All rights reserved.


Son L.H.,Ha Noi University of Science
Proc. of the IADIS Int. Conf. - Computer Graphics, Visualization, Computer Vision and Image Processing, CGVCVIP 2010, Visual Commun., VC 2010, Web3DW 2010, Part of the MCCSIS 2010 | Year: 2010

The integration between Geographic Information System and Internet gives the opportunity for everyone who wants to use GIS data and functions without installing any proprietary GIS software. Recently, these have been some researches about three dimensional WebGIS systems originated from the idea that GIS should become more familiar and realistic to end-users. However, these researches have limitation in analyzing maps' information and focusing on 3D maps conversion only. In this paper, we will propose the method to construct a three dimensional WebGIS system namely as SGIS-3D based on Digital Elevation Model- DEM and Geographic Modelling Language GeoVRML. Our system also provides some Spatial Analysis operations to exploit information in 3D maps. It is useful for managers, researchers and students who want to explore visual 3D maps for their own specific tasks. © 2010 IADIS.


Cuong B.C.,Institute of Mathematics | Son L.H.,Ha Noi University of Science | Chau H.T.M.,University of Economic and Technical Industries
ACM International Conference Proceeding Series | Year: 2010

In this paper, we will propose a two-context fuzzy clustering algorithm (2C-FCM) and its parallel solution so called P2C-FCM for the classification problems. Some initial experiments show the effectiveness of P2C-FCM and 2C-FCM when comparing with traditional Context FCM. The applications of P2C-FCM and 2C-FCM are the basis to generate fuzzy rules for classifying member countries of United Nation Organization (UNO) according to the Human Development Index based on the statistics of UNO in 2005. © 2010 ACM.


Minh N.D.,Vietnamese Academy of Agriculture science | Hough R.L.,James Hutton Institute | Thuy L.T.,Vietnam Institute of Agricultural Sciences | Nyberg Y.,Swedish University of Agricultural Sciences | And 4 more authors.
Science of the Total Environment | Year: 2012

This study estimates the dietary exposure to cadmium (Cd), and associated potential health risks, for individuals living and working in a metal recycling community (n = 132) in Vietnam in comparison to an agricultural (reference) community (n = 130). Individual-level exposure to Cd was estimated through analysis of staple foodstuffs combined with information from a food frequency questionnaire. Individual-level exposure estimates were compared with published 'safe' doses to derive a Hazard Quotient (HQ) for each member of the study population. Looking at the populations as a whole, there were no significant differences in the diets of the two villages. However, significantly more rice was consumed by working age adults (18-60. years) in the recycling village compared to the reference village (p < 0.001). Rice was the main staple food with individuals consuming 461 ± 162. g/d, followed by water spinach (103 ± 51. kg/d). Concentrations of Cd in the studied foodstuffs were elevated in the metal recycling village. Values of HQ exceeded unity for 87% of adult participants of the metal recycling community (39% had a HQ > 3), while 20% of adult participants from the reference village had an HQ > 1. We found an elevated health risk from dietary exposure to Cd in the metal recycling village compared to the reference community. WHO standard of 0.4. mg Cd/kg rice may not be protective where people consume large amounts of rice/have relatively low body weight. © 2011 Elsevier B.V.


Chau N.T.T.,Kyushu University | Chau N.T.T.,Ha Noi University of Science | Matsumoto M.,Kyushu University | Miyajima I.,Kyushu University
Journal of the Faculty of Agriculture, Kyushu University | Year: 2014

A strain, Streptomyces sp. A1 isolated from shrimp pond sediments has been identified as an aquaculture probiotic antagonistic to pathogenic Vibrio harveyi V7. In the present study, the different carbon and nitrogen sources and growth factors in a mineral base medium were optimized for enhanced biomass production and antagonistic activity, following response surface methodology (RSM). Accordingly, the minimum and maximum limits of the selected variables were determined and a set of fifty experiments programmed employing central composite design CCD of RSM for the final optimization. The response surface plots of biomass production showed similar pattern with that of antagonistic activity, which indicated a correlation between the biomass and antagonism. The optimum concentrations of the carbon and nitrogen source, and growth factors for both biomass and antagonistic activity were starch (14.62 g/1), casein (0.93 g/1), NaCl (15.6 g/1), DL-α-alanine (0.233 g/1), and vitamin B6 (0.023 g/1).


Chau N.T.T.,Ha Noi University of Science | Matsumoto M.,Kyushu University | Miyajima I.,Kyushu University
Journal of the Faculty of Agriculture, Kyushu University | Year: 2014

The use of probiotics has increasingly become popular in shrimp culture not only for disease prevention and nutrition improvement but also because of an increasing demand for environment- friendly aquaculture. However, in Viet Nam, most of probiotics were imported with unknown origin so that they can pose a threat of spreading pathogenic or genetically modified microorganisms, resulting in the broken safe biology. Also, the beneficial effect of using such microbial products in aquaculture is still debatable as their efficacy is yet unclear. The objectives of this paper is to assess the effectiveness on water, sediment quality and shrimp production in ponds treated with a Streptomyces sp. A1 probiotic in Phu Loc district, Thua Thien Hue province (Viet Nam). Results showed that the probiotic could significantly increase pH, salinity, dissolved oxygen and reduce biochemical oxygen demand, chemical oxygen demand, concentrations of NH,-N, NO2-N, NOJ-N, presumptive Vibrio count and total coliforms of shrimp pond water. Simultaneously, the probiotic was likely to maintain pH, moisture, concentrations of total organic carbon, total nitrogen, total phosphorus and total sulfur suitable for shrimp pond sediment, especially reduce total carbon. Moreover, an average of 364.38 kg shrimp/ha was obtained in treated ponds with a feed conversion ratio of 1.10, per day growth of 0.21 g and survival rate of 85.43% compared with 240 kg shrimp/ha, 1.67, 0.13 and 84.97, respectively, in control ponds. This indicates that the addition of the probiotic had a noticeable influence on water and sediment quality of shrimp ponds and shrimp production. The finding of this study will facilitate to apply effectively a novel and safe indigenous probiotic into shrimp aquaculture, thereby improving shrimp aquaculture environment, increasing shrimp production, limiting to use antibiotics and chemicals, ensuring safe products and reaching for the sustainable shrimp aquaculture development of Thua Thien Hue in particular and Viet Nam in general.

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