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2006北京地区高校研究生学术交流会

作者： Li Dun CaoYuanda Wan Yueliang (School of Computer Science & Technology, Beijing Institute of Technology,) (Beijing 100081, China ) (Modern Education Technology Center, Shanxi University, Taiyuan 030006, China)

In order to prevent the spread of the ill metamorphosed texts in Internet which escaped from the traditional security filtering, a method of new special words identification is presented. In the paper, metamorphosed character strings in the ill texts were analyzed, then were preprocessed to get the candidate strings set, at last the special words were identified using an improved algorithm of the association rules according to the strings’ characteristics such as adjacency, sequence and frequency. The experiments show that it can identify the special metamorphosed words while the traditional methods can’t, reduce the misguidance of the segmentation, and improve the efficiency and the capability of security filtering as the complement of the topic filtering.

关键词： association rules special words identification transmogrified character strings

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Associative Classification Based on Artificial Immune System

Associative Classification Based on Artificial Immune System

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2010 3rd International Conference on Computer and Electrical Engineering(ICCEE 2010)

作者： Zhang Lei Jiang Ji Min School of Electronic Information Engineering Henan University of Science and Technology

Associative classification algorithms which are based on association rules have performed well compared with other classification approaches. However a fundamental limitation with these classification algorithms is that the search space of candidate rules is very large and the processes of rule discovery and rule selection are conducted separately. This paper proposes an approach called ARMBIS, which is based on the natural immune principle, for searching associative rules. The proposed algorithm has the capability of dealing with complex search space of association rules while still ensuring that the resultant set of association rules is appropriate for associative classification. The performance evaluation results have shown that the proposed algorithm has achieved good runtime and accuracy performance in comparison with conventional associative classification algorithms.

关键词： Associative classification association rules artificial immune system

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Application Of Apriori Algorithm In Open Experiment

Application Of Apriori Algorithm In Open Experiment

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2011 4th IEEE International Conference on Computer Science and Information Technology(ICCSIT 2011)

作者： Li Mengshan Liu Bingxiang Wu Yan Sub-Institute of Science&Technology and Art JingDezhen Ceramic Institute Jing Dezhen Ceramic Institute Information Engineering Institute

ISBN: (纸本)9781612848334

In this paper, we introduce the basic ideas of association rules and Apriori Algorithm, and analyse the relationship between the booking database of the open experiment and the implementation of Apriori Algorithm. After the pre-processing of the dataset we have accumulated, we apply the Apriori Algorithm of association rules to mine some related information in the booking database. So we can get some important association information both in the same type experiments and in some independent experiments. Then, we analyse the mined information, get the reasons of the association information, and give some advice to the administration of experiment teaching so as to improve the work efficiency.

关键词： Apriori Algorithm association rules Teaching Reform Open Experiment

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Study of Database Intrusion Detection Based on Improved association Rule Algorithm

Study of Database Intrusion Detection Based on Improved Asso...

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2010 3rd IEEE International Conference on Computer Science and Information Technology—ICCSIT 2010

作者： Zhang yanyan Yao Yuan Department of Computer Science and Engineering Henan University of Urban Construction

＜正＞combining with the data mining application in database Intrusion detection,for the most representative association rule Apriorl algorithm in the data mining technology,this paper presents an improved association rule algorithm,based on which constructs a database intrusion detection system on the basis of association rules,and carries out a small range *** results show that the system can greatly improve the efficiency of the entire intrusion detection process.

关键词： database intrusion detection data mining association rules Apriori algorithm

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An Algorithm of association Rule Mining Based on Memory Indexing

An Algorithm of Association Rule Mining Based on Memory Inde...

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2012年计算机应用与系统建模国际会议

作者： Yong Huang Kuanjiu Zhou Huamei Sun Tiyun Huang School of Management Dalian University of Technology School of Management Harbin Institute of Technology

In the field of data mining, Apriori is a classical algorithm for mining association rules. In this paper, an improved Apriori algorithm is proposed, which is based on the principle of memory indexing. By recording unnecessary scanning transactions and storing relatively frequent transactions, the algorithm decreases the scanning times of the database, and consequently save the time of I/O operation. The experiments result has verified the effectiveness of the improved algorithm.

关键词： Data mining association rules memory indexing

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Short Term Diverging Traffic Flow Prediction based on ImF-VOMM Method

Short Term Diverging Traffic Flow Prediction based on ImF-VO...

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第37届中国控制会议

作者： Xiangxiang Yu Dewei Li Yugeng Xi Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information ProcessingMinistry of Education

Traffic congestion brings many problems in human daily life, and further leading to environment pollution and economic losses. The more precise prediction of traffic status is, the better we can settle the problems. The prediction of traffic flow is more valuable than traffic speed because of its characteristic of directivity. In this paper, in order to further improve predicting accuracy, we utilize the conception of association rule to discover regions that have strong correlation to neighboring regions. Then adding the neighboring regions information into the original regions diverging flow prediction. On the basis of Variable-order Markov Model(VOMM), integrating the correlation information as the impact factor, we finally process a novel predicting method IF-VOMM method. Experimental results show that our method could improve the predicting accuracy and have more stability.

关键词： Diverging Flow Prediction association rules Traffic State

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The Application of Improved FP-Growth Algorithm in Disease Complications

The Application of Improved FP-Growth Algorithm in Disease C...

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作者： Xia GAO Fang-qin XU Zhi-min ZHU College of Information Technology Shanghai Jian Qiao University School of Computer Science and Technology Donghua University

With the rapid development of computer technology, data mining using association rules has been widely used in all walks of life. FP-Growth algorithm is an association rule algorithm. It does not need to generate candidates, so it has practical value for the study of disease complications. However, it is inefficient and prone to spillover due to its large scale medical data. This paper proposes an improved algorithm based on the FP-Growth algorithm, which sets the minimum support threshold and deletes infrequent item sets to improve the operation efficiency. Experimental results show that this algorithm accelerates the speed of data mining and improves the processing efficiency in the medical data environment.

关键词： FP-Growth Data mining association rules Wisdom medical

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Healthcare Information System and Data Mining

Healthcare Information System and Data Mining

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The International Conference on Recent Trends in Materials and Mechanical Engineering(ICRTMME 2011)

作者： Nai-Wen Kuo Department of Information Management Chinese Culture University

This paper is to integrate information technology and medical-related technologies to develop a healthcare information system for comprehensive geriatric assessmentThis system not only can process geriatric consultation services and ensure that all patient’s information are stored in standardized format, but also provide medical personnel for statistical analysis and processing purposesThis paper uses the Apriori algorithm of data mining for helping doctors to find out the relationship of geriatric syndromeThe systems of this paper can improve increase the timeliness and accuracy of patient care and administration information, increase service capacity, reduce personnel costs, and improve the quality of patient care in geriatric medicineFurthermore, making the theories and applications of medical informatics will be more extensive and convenient for researcher and healthcare-related industry.

关键词： Healthcare Information System Data Mining association rules

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论文作者间关系的马尔可夫网发现

论文作者间关系的马尔可夫网发现

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作者：罗媛云南大学

学位级别：硕士

In today's rapid development of information society, interpersonal relationship is absolutely basic to people's daily life and work, and mining for it is a very extensive and useful technology, such as online dating, online games community, technical forum as well as academic exchange group. This kind of technology can provide people with valuable information. Interpersonal relationships in a different scope of the concept vary, with different relationships. In this paper, academic relationships is a starting point and to dig out the relationships between the researchers as a representation, and finally to provide strong support for researchers to understand the network of cooperation in related fields.Mining association rules as a rule extraction techniques, which has a very mature technology and widely applied in many fields. Using association rules technology to extract and mining the network of relationships between researchers and researchers in academic papers. This paper is based on frequent pattern's extract algorithm from association rules, extracting part of paper from paper database as source of data acquisition, using Apriori algorithm from association rules to extract frequent pattern and to build Markov Network by using maximal frequent sets in frequent *** do some neccessary conversions on Markov Network, to produce CRG(cooperation relationship graph) which reflect the cooperative relations between the paper researchers. The main contribution of this paper can be briefly summarized as follows:●In order to be able to describe the relationship of researchers in academic research, this paper introduces the concept of cooperation relationship diagram to describe researchers and cooperative relations between the researchers.●Do some improvement and incremental processing on Apriori algorithm based on the actual situation which refered in this paper, to extract the frequent patterns of researchers, and proving the feasibility and effici

关键词： Markov Network Frequent Model association rules RelationshipGraph Cooperation Relationship Graph

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An Analysis of Medication rules of Chinese Medicine for Restless Legs Syndrome Based on Data Mining

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World Journal of Integrated Traditional and Western Medicine 2020年第9期6卷 26-33页

作者： CHEN Shu-jiao ZHOU Xiao-li Hubei University of Chinese Medicine Wuhan 430060China

Objective: Based on data mining, to explore the medication rules of Chinese medicine for the treatment of restless legs syndrome(RLS). Methods: The CNKI, WANFANG, and VIP were taken as data sources, and "restless legs syndrome, RLS" as the key words, and "Chinese medicine, Chinese materia medica, traditional Chinese medicine(TCM), traditional Chinese and Western medicine" as sub key words, the data was extracted from the journals and literature related to the treatment of RLS by TCM from the establishment of the database to 2020, and data mining techniques(frequency analysis, cluster analysis, association rules) were used to analyze the core drugs and drug pair(group) rules. Results: A total of 87 prescriptions met the requirements of this study, involving 142 Chinese herbal medicines. The top 5 Chinese herbal medicines with a higher frequency of use were Radix Paeoniae Alba, Radix Glycyrrhizae, Radix Angelicae Sinensis, Fructus Chaenomelis and Radix Astragali seu Hedysari. The four Qi(气) of the medicine were mainly warm and neutral, the five flavors were mainly sweet, bitter, and pungent. The main channels of the meridian were mainly the liver meridian, spleen meridian and heart meridian. The medication categories were mainly tonifying deficiency herbs, blood activating and removing blood stasis herbs, and eliminating wind and dampness herbs. The association rule analysis yielded 24 Chinese medicine combinations with high support, and the hierarchical cluster analysis yielded a total of 5 clusters. Conclusion: TCM treatment of RLS is based on tonifying deficiency herbs, especially to replenish Qi and blood throughout the course of the disease, supplemented by herbs for promoting blood circulation and removing blood stasis, and herbs for eliminating wind and dampness, as well as combined with herbs for reliving superficies and herbs for calming the liver to stop the wind.

关键词： Restless legs syndrome Data mining association rules Medication rule

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