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Author: Li Li
Abstract: Three-layer architecture of BPS/MES/PCS is adopted in contemporary integrated manufacturing systems（CIMS） of process industry.In this paper,structure limitations of the existing three-layer CIMS are specified and a novel data platform based on data mining...
Abstract: Three-layer architecture of BPS/MES/PCS is adopted in contemporary integrated manufacturing systems（CIMS） of process industry.In this paper,structure limitations of the existing three-layer CIMS are specified and a novel data platform based on data mining...
Author: Ma Lili
Abstract: Data mining and extentics theory were introduced in this paper,and we descript the relationship of them.Then we represent the classic Apriori algorithm and extentics theory based algorithm,and we apply this two algorithms in an example,and test the result...
Abstract: Data mining and extentics theory were introduced in this paper,and we descript the relationship of them.Then we represent the classic Apriori algorithm and extentics theory based algorithm,and we apply this two algorithms in an example,and test the result...
Author: CHEN Zhen, XU Jian-ping, XIANG
Abstract: Objective： To evaluate the operation quality in medicine distribution enterprise by the methods of principal component analysis and clustering analysis. Methods： Selecting 4 sales departments as research objects and 6 assessment indexes in a target compan...
Abstract: Objective： To evaluate the operation quality in medicine distribution enterprise by the methods of principal component analysis and clustering analysis. Methods： Selecting 4 sales departments as research objects and 6 assessment indexes in a target compan...
Decision Analysis of Students＇ Score Database Based on Weighted Naive Bayes Classification Algorithm
Author: CAI Jie , ZHOU Ke, ZHONC Jian-
Abstract: Based on the collected data and using the weight computed by the composite method, the weighted naive Bayes classification algorithm was applied in the analysis and prediction of students＇ score. The results showed that the better classification capabilit...
Abstract: Based on the collected data and using the weight computed by the composite method, the weighted naive Bayes classification algorithm was applied in the analysis and prediction of students＇ score. The results showed that the better classification capabilit...
Author: Liu Li-song,Yan Guang-hui,Huan
Abstract: In this paper, to direct research of time series data using method of similar mining, the authors put forward a method of similar subsequence of given sequence. The results indicated that the algorithm improved query performance....
Abstract: In this paper, to direct research of time series data using method of similar mining, the authors put forward a method of similar subsequence of given sequence. The results indicated that the algorithm improved query performance....
Author: Tian Wei
Abstract: At present, genetic algorithm universally was limited by scheme theorem. Algorithm based on building block hypothesis affected general search capability of algorithm. In this paper, the author put forward classification rules based on messyGA which sovled...
Abstract: At present, genetic algorithm universally was limited by scheme theorem. Algorithm based on building block hypothesis affected general search capability of algorithm. In this paper, the author put forward classification rules based on messyGA which sovled...
Author: ZHANG Wei, HONG Xia
Abstract: In allusion to the massive reader behavior data as the borrowing and searching information in OPAC, studies the key technologies of the individual service system based on the reader behavior excavation, provides the resolvent and methods, realizes the int...
Abstract: In allusion to the massive reader behavior data as the borrowing and searching information in OPAC, studies the key technologies of the individual service system based on the reader behavior excavation, provides the resolvent and methods, realizes the int...
Author: TANG Shao-xian
Abstract: This paper is focused on studying rough set based data mining.A method based on statistics to reduce uncertain degree of border elements of the rough set is presented.According to statistics rules of the border elements, it selects appropriate minimum cov...
Abstract: This paper is focused on studying rough set based data mining.A method based on statistics to reduce uncertain degree of border elements of the rough set is presented.According to statistics rules of the border elements, it selects appropriate minimum cov...
Author: WANG Lin,ZHUANG Wei-hua
Abstract: Web sequential pattern mining has become an important research branch of Web data mining.Based on WAP algorithm,an improved algorithm is proposed.The improved algorithm makes no needs of producing conditional tree repeatedly during the process of mining t...
Abstract: Web sequential pattern mining has become an important research branch of Web data mining.Based on WAP algorithm,an improved algorithm is proposed.The improved algorithm makes no needs of producing conditional tree repeatedly during the process of mining t...
Author: FAN Cong-xian,LIU Qiu-ju,XU Ti
Abstract: With the development of Internet＇s technology,Web pages become effective approach for people to gain information.Web data mining gradually becomes hot research.This paper puts forward a kind of improved algorithm which is based on deficiency of PageRank i...
Abstract: With the development of Internet＇s technology,Web pages become effective approach for people to gain information.Web data mining gradually becomes hot research.This paper puts forward a kind of improved algorithm which is based on deficiency of PageRank i...
Author: WANG Yan, TAN Ze-fu, LIAO Ming
Abstract: A data mining based on association rules algorithm to obtain a key indicator of CMMB network optimization is presented. Association rules of data mining are introduced first, then the process of implementation of CMMB network analysis system is detailed i...
Abstract: A data mining based on association rules algorithm to obtain a key indicator of CMMB network optimization is presented. Association rules of data mining are introduced first, then the process of implementation of CMMB network analysis system is detailed i...
Author: XU Jia-li CHEN Jia
Abstract: Aiming at updating problems of frequent item sets, this paper proposed an updating algorithm based on matrix （UABM） for mining frequent item sets. Divided the updated database into original database and new one based on time. Convetted these databases int...
Abstract: Aiming at updating problems of frequent item sets, this paper proposed an updating algorithm based on matrix （UABM） for mining frequent item sets. Divided the updated database into original database and new one based on time. Convetted these databases int...
Author: ZHENG Bin, JIN Yongxing
Abstract: In order to find a simple and effective method to analyze the factors leading to human fault in marine accidents, the data mining method based on attribute reduction of rough set theory is introduced. A data-set comprising 30 influencing factors which may...
Abstract: In order to find a simple and effective method to analyze the factors leading to human fault in marine accidents, the data mining method based on attribute reduction of rough set theory is introduced. A data-set comprising 30 influencing factors which may...
Author: ZHANG Xiao-kang, SHUAI Jian-me
Abstract: Using data mining technology to detect malicious code, this paper proposes a feature selection method based on weighted intormation gain. This method can select effective features more correctly by combining the advantage of informatiou gain with classwis...
Abstract: Using data mining technology to detect malicious code, this paper proposes a feature selection method based on weighted intormation gain. This method can select effective features more correctly by combining the advantage of informatiou gain with classwis...
Author: LIU Ying-dong, LENG Ming-wei,
Abstract: Mining all frequent itemsets in dense datasets is very expensive. Aiming at this problem, linked list array, a new data structure, and a fast method of Mining Frequent Itemsets（MFl） based on it are proposed. This method creates linked list array for each ...
Abstract: Mining all frequent itemsets in dense datasets is very expensive. Aiming at this problem, linked list array, a new data structure, and a fast method of Mining Frequent Itemsets（MFl） based on it are proposed. This method creates linked list array for each ...
Author: MA Jin,LI Feng,LI Jian-hua
Abstract: Distributed anonymous statistic mean and distributed anonymous statistic variance methods were proposed through designing randomized data separation method.A light-weight randomized data exchange protocol was proposed with homomorphic encryption mechanism...
Abstract: Distributed anonymous statistic mean and distributed anonymous statistic variance methods were proposed through designing randomized data separation method.A light-weight randomized data exchange protocol was proposed with homomorphic encryption mechanism...
Author: LONG Wen, MA Kun, XIN Yang, an
Abstract: The notion of sequence itemset is introduced for algorithm to deal with permutations items or transactions of itemsets. A recursive method is provided to generate signatures with different length in turn. The algorithm utilizes offset attributor set to re...
Abstract: The notion of sequence itemset is introduced for algorithm to deal with permutations items or transactions of itemsets. A recursive method is provided to generate signatures with different length in turn. The algorithm utilizes offset attributor set to re...
Author: ZHENG Xiao-yue,KANG Kun-peng
Abstract: A Simulated annealing based fuzzy classification system （SAFCS） is presented in the paper,which hybridizes the learning capability of SA metaheuristic with the approximate reasoning method of fuzzy systems. The objective of SAFCS is to effectively explore...
Abstract: A Simulated annealing based fuzzy classification system （SAFCS） is presented in the paper,which hybridizes the learning capability of SA metaheuristic with the approximate reasoning method of fuzzy systems. The objective of SAFCS is to effectively explore...
Author: Huang Xinran
Abstract: This paper reviews the literatures about network opinion management in recent years. The results show that the management of net work opinion is limited to the qualitative aspect. So,it proposes the quantitative management of network opinion,which is base...
Abstract: This paper reviews the literatures about network opinion management in recent years. The results show that the management of net work opinion is limited to the qualitative aspect. So,it proposes the quantitative management of network opinion,which is base...
Author: GUO Min-jiang Institute of Med
Abstract: As the development of health informatization, there is a great increase in health information. Meanwhile, more and more people turn to worry about how to efficiently utilize such a lot of information and how to get knowledge from them. Data mining technol...
Abstract: As the development of health informatization, there is a great increase in health information. Meanwhile, more and more people turn to worry about how to efficiently utilize such a lot of information and how to get knowledge from them. Data mining technol...
Author: LU Nan,LI Xiao-lin
Abstract: This paper presents a multi-dimensional multi-layer association rules mining algorithm based on combining the genetic algorithm and ant algorithm,the new algorithm using the good global search capability that both the genetic and the ant algorithm own.It ...
Abstract: This paper presents a multi-dimensional multi-layer association rules mining algorithm based on combining the genetic algorithm and ant algorithm,the new algorithm using the good global search capability that both the genetic and the ant algorithm own.It ...
Author: Yang Qingxian Song Shaoyun T
Abstract: It has been difficult to find uncertainty knowledge from date and quantify them ,based on elaborating the concept of uncertain konwledge, λ structure stacked the operator. And it found uncertainty knowledge from actual examples applying the operator. Fina...
Abstract: It has been difficult to find uncertainty knowledge from date and quantify them ,based on elaborating the concept of uncertain konwledge, λ structure stacked the operator. And it found uncertainty knowledge from actual examples applying the operator. Fina...
Author: Li Gang
Abstract: With the increasingly fierce market competition and the rapid development of computer technology, application of data mining technology in the coal trade management system is particularly important. In this paper, combining today＇s more popular data minin...
Abstract: With the increasingly fierce market competition and the rapid development of computer technology, application of data mining technology in the coal trade management system is particularly important. In this paper, combining today＇s more popular data minin...
Author: HU Yao-min ,YU Ming-hui
Abstract: According to analysis of key technologies about business intelligence and relationship of them, a business intelligence system model based on SQL Server 2008 is provided. And the business intelligence system is developed based on this model....
Abstract: According to analysis of key technologies about business intelligence and relationship of them, a business intelligence system model based on SQL Server 2008 is provided. And the business intelligence system is developed based on this model....
Author: Cao Linhui,et al
Abstract: There are many complicated syndrome manifestations in the process of syndrome differentiation, while Data Mining, which can extract the information and knowledge that are useful, implicit and unknown from the plentiful, dark and random data, is applied in...
Abstract: There are many complicated syndrome manifestations in the process of syndrome differentiation, while Data Mining, which can extract the information and knowledge that are useful, implicit and unknown from the plentiful, dark and random data, is applied in...
Author: WU Hong-bo, ZHANG Lei
Abstract: Aimed at the problem that how to mining the value of the loyal customers deeply to improve the value of customers, by means of analyzing different patterns of manifestation of customer attitude loyalty inclination, this paper give out branch mode that ref...
Abstract: Aimed at the problem that how to mining the value of the loyal customers deeply to improve the value of customers, by means of analyzing different patterns of manifestation of customer attitude loyalty inclination, this paper give out branch mode that ref...
Author: MEI Deng-hua, CAI Shao-wei
Abstract: The research on association rule is an important problem in data mining,how to efficiently discover frequent itemsets is a key problem in association rule research.According to the statistical nature of database transaction,and based on the maximum freque...
Abstract: The research on association rule is an important problem in data mining,how to efficiently discover frequent itemsets is a key problem in association rule research.According to the statistical nature of database transaction,and based on the maximum freque...
Author: WANG Yue, GUI Yuan-yi
Abstract: This paper conducts data mining in medical physical check with the help of correlation analysis. First, principles and methods of association rule are discussed, and then the data to be mined is preprocessed by integrating, conversion, etc. to get origina...
Abstract: This paper conducts data mining in medical physical check with the help of correlation analysis. First, principles and methods of association rule are discussed, and then the data to be mined is preprocessed by integrating, conversion, etc. to get origina...
Author: WANG Jian, CHANG Jin-yi, SU Ji
Abstract: In the field of data-mining, it is very important to evaluate the association rules witch are mined by the Apriori method. This paper pointed out the limitations of Support-Confidence system, and presented a new evaluation system, Support-Confidence-relat...
Abstract: In the field of data-mining, it is very important to evaluate the association rules witch are mined by the Apriori method. This paper pointed out the limitations of Support-Confidence system, and presented a new evaluation system, Support-Confidence-relat...
Author: WU Hong-bo, ZHANG Lei
Abstract: To solve at the problem how to utilize customer data to improve management decision-making level and sales in insurance, according to the discriminating conditions of insurance customer loyalty, this paper uses fuzzy data mining technology to make cluster...
Abstract: To solve at the problem how to utilize customer data to improve management decision-making level and sales in insurance, according to the discriminating conditions of insurance customer loyalty, this paper uses fuzzy data mining technology to make cluster...