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Annual International Conference on System Science and Engineering (ICSSE)

作者： Nguyen Phuong Nguyen Due Duy HCMC Univ Technol & Educ Ho Chi Minh City Vietnam Posts & Telecommun Inst Technol Ho Chi Minh City Vietnam

ISBN: (纸本)9781538634226

In this paper, we propose a mining algorithm for average-utility item sets (EHAUI-Tree) based on improving HUUI-Tree algorithm to apply for adding new database transactions without restart. At first, the value of updated data is calculated. Then, item sets which make changes will be calculated and updated depending upon the updated data value and the previous High Average-utility Upper-bound (HAUUB). This algorithm uses the downward closure property of an average-utility item set and an index table structure. In addition, a data structure for item sets is proposed to minimize memory usage and maximize calculating efficiency. The experimental result shows that EHAUI-Tree is more effective than HAUl-Tree when adding new transactions for the previous database. The method applies the downward closure properties of HAUUB Item set and Index Table. Furthermore, the Bit-Array-structure item set is also proposed to reduce using memory and calculate more effectively. The result of this algorithm is better than HAUl-Tree on updating new transactions.

关键词： HAUl-Tree dynamic databases average-utility itemset mining data mining high average-utility item sets mining algorithm

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An Analysis of algorithms for Periodic Pattern mining in Time Series

An Analysis of Algorithms for Periodic Pattern Mining in Tim...

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作者： Yeping Peng Software College of Jishou University

Periodic pattern mining in time series is of great practical significance to scientific research and practical application as it is beneficial to improve prediction and trend analysis. Current algorithms for periodic pattern mining in time series can be divided into three categories according to whether the parameters of periodic length are known or not. This paper discusses the specific classification of periodic patterns and summarizes advantages and disadvantages of these algorithms, with a purpose to provide reference for the practical application of these algorithms.

关键词： Periodic pattern mining Periodic length mining algorithm

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RETRACTED: Analysis of the Construction of Accounting Information Processing Mode in the Era of Big Data (Retracted article. See DEC, 2022)

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WIRELESS PERSONAL COMMUNICATIONS 2018年第4期102卷 3715-3724页

作者： Zheng, Li Chongqing Ind Polytech Coll Finance & Econ Sch Chongqing Peoples R China

As an XML-based extensible business reporting language, XBRL gradually emerges in accounting transaction. Research on accounting information processing model based on XBRL has important innovation significance. This paper proposed a data mining model based on the XML hierarchical structure, which stores XBRL in X-Hive database. Data mining analysis is implemented through association rule methods. DC-Aprior data mining method based on XBRL is proposed combined with Aprior algorithm and XQuery thought of association rules. Finally, the feasibility and effectiveness of this method are further verified through experiments.

关键词： XBRL Association rules mining algorithm

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Combined data mining techniques based patient data outlier detection for healthcare safety

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International Journal of Intelligent Computing and Cybernetics 2016年第1期9卷 42-68页

作者： Gebeyehu Belay Gebremeskel Chai Yi Zhongshi He Dawit Haile State Key Laboratory of Power Transmission Equipment System Security and New TechnologyCollege of AutomationChongqing UniversityChongqingChina College of Computer Science Chongqing UniversityChongqingChina School of Engineering Science and TechnologyVirginia State UniversityPetersburgVirginiaUSA

Purpose–Among the growing number of data mining(DM)techniques,outlier detection has gained importance in many applications and also attracted much attention in recent *** the past,outlier detection researched papers appeared in a safety care that can view as searching for the needles in the ***,outliers are not always ***,the purpose of this paper is to investigate the role of outliers in healthcare services in general and patient safety care,in ***/methodology/approach–It is a combined DM(clustering and the nearest neighbor)technique for outliers’detection,which provides a clear understanding and meaningful insights to visualize the data behaviors for healthcare *** outcomes or the knowledge implicit is vitally essential to a proper clinicaldecision-making *** method isimportant to thesemantic,andthe novel tactic of patients’events and situations prove that play a significant role in the process of patient care safety and ***–The outcomes of the paper is discussing a novel and integrated methodology,which can be inferring for different biological data *** is discussed as integrated DM techniques to optimize its performancein the field of health and *** is an integrated method of outliers detection that can be extending for searching valuable information and knowledge implicit based on selected patient *** on these facts,outliers are detected as clusters and point events,and novel ideas proposed to empower clinical services in consideration of customers’*** is also essential to be a baseline for further healthcare strategic development and research *** limitations/implications–This paper mainly focussed on outliers *** isolation that are essential to investigate the reason how it happened and communications how to mitigate it did not ***,the research can be extended more about the hierarchy of patient prob

关键词： Data mining Clustering Healthcare mining algorithm Nearest neighbor Outlier detection

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Static mining and Dynamic Taint for Mobile Security Threats Analysis

Static Mining and Dynamic Taint for Mobile Security Threats ...

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IEEE International Conference on Smart Cloud (IEEE SmartCloud)

作者： Yang, Tianda Qian, Kai Li, Lei Lo, Dan Tao, Lixin Kennesaw State Univ Coll Comp & Software Engn Marietta GA 30060 USA Pace Univ Dept Comp Sci Pleasantville NY USA

ISBN: (纸本)9781509052639

In the last decade, the computing landscape has been rapidly shifting to mobile platform. More and more individuals and businesses are using smartphones and tablet pcs as their main general purpose computing devices. As such, mobile platform becomes prominent targets of cybercriminals. It's imperative to develop techniques that can detect mobile malware and protect the mobile devices from cyber-attacks. In this paper, we propose a hybrid approach combing a static mining algorithm and a dynamic taint analysis for effective mobile malware analysis. A preliminary prototype was built and tested on real-world mobile apps.

关键词： Android mobile security analysis mining algorithm static analysis dynamic taint analysis

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Understanding Production Chain Business Process Using Process mining: A Case Study in the Manufacturing Scenario 28th

Understanding Production Chain Business Process Using Proces...

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28th International Conference on Advanced Information Systems Engineering (CAiSE)

作者： Bettacchi, Alessandro Polzonetti, Alberto Re, Barbara Univ Camerino Div Comp Sci Camerino Italy

ISBN: (纸本)9783319395647;9783319395630

Due to the continuous market change the enterprises need to react fast. To do that a better understanding of the way to work is needed. Indeed this was a real need of a manufacturing enterprise working in the production of coffee machines and selling them all over the world. In this paper, we present the experience made in the application of process mining techniques on a rich set of data that such enterprise collected during the last six years. We compare five mining algorithms, such as: alpha-algorithm, Heuristics Miner, Integer Linear Programming Miner, Inductive Miner, Evolutionary Tree Miner. We evaluated algorithms according to specific quality criteria: fitness, precision, generalization and simplicity. Even if comparison studies are already available in the literature we check them according to our working context. We conclude that the Inductive Miner algorithm is especially suited for discovering production chain processes in the context under study. The application of process mining gives the enterprise a comprehensive picture of the internal process organization. Resulting models were used by the company with successful results to motivate the discussion on the need of developing a flexible production chain.

关键词： Process mining Process discovery Business process ProM Framework mining algorithm Production chain

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An Approach to Discovering Weighted Service Pattern 10th

An Approach to Discovering Weighted Service Pattern

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10th International Scientific Conference on Future Information Technology (FutureTech)

作者： Hwang, Jeong Hee Gu, Mi Sug Namseoul Univ Dept Comp Sci Cheonan South Korea Chungbuk Natl Univ Database BioInformat Lab Cheongju South Korea

ISBN: (纸本)9783662478950;9783662478943

It is important to provide suitable services according to user context. The previous researches are focused on service frequent pattern mining based on service history provided to user. However, service value is changing because user context varies with time. Therefore it is necessary to detect service patterns considering weight of service value. In this paper we propose a mining method by service weight based on service ontology. The method uses a weight of service significance by spatio-temporal context of user and finds out the valuable service patterns. And then the searched patterns which make a combination with existing service rule is provided to user.

关键词： mining algorithm Association rule Pattern mining

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Partition-Based Frequent Closed Pattern Miner

Partition-Based Frequent Closed Pattern Miner

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International Conference on Information and Communication Technology for Sustainable Development (ICT4SD)

作者： Soni, Anu Goel, Mukta Goel, Rohit Technol Inst Text & Sci Bhiwani India

ISBN: (纸本)9789811001352;9789811001338

Frequent closed pattern (FCP) mining has been an important step in data mining research. This paper introduces an algorithm to deal with the problem of finding out (FCP) from a given set of transactions. The miner works on a parallel approach based on compact matrix division to partition the data set. To filter these subtasks two methods are adopted (1) transaction set redundancy removal method and (2) itemset redundancy removal method. mining of filtered subtasks are done separately. Consolidated result obtained from mining of these filtered independent partitions show all FCPs present in transactions.

关键词： Frequent closed pattern mining algorithm Parallel mining

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Research of Commonly Used Association Rules mining algorithm in Data mining

Research of Commonly Used Association Rules Mining Algorithm...

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2011 International Conference on Internet Computing and Information Services （ICICIS 2011）

作者： Ruowu Zhong Huiping Wang Institute of Computer Shaoguan University

This paper introduces the concept of data mining and its an important branch- association rules, describes the basic concept of association rules, the basic model of mining association rules;introduces the classical algorithm of association rules, and then classified discusses the association rules mining from several angles such as width, depth, partition, sampling and incremental updating. Finally, this paper prospects the association rules mining.

关键词： data mining association rules frequent itemsets mining algorithm

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3 Dimensional Frequent Closed Pattern Miner

3 Dimensional Frequent Closed Pattern Miner

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International Symposium on Advanced Computing and Communication (ISACC)

作者： Soni, Anu Goel, Mukta Goel, Rohit TIT&S Dept CE Bhiwani India TIT&S Dept IT Bhiwani India TIT&S Dept ECE Bhiwani India

ISBN: (纸本)9781467367080

Frequent Closed Pattern mining has been an important step in data mining research. This paper introduces an algorithm to deal with problem of finding frequent closed pattern from a given 3 dimensional periodical set of data. The miner works on zero removal principle to generate generators. Generators use a tree based approach to mine frequent closed pattern (FCP). To filter each newly generated node in tree, three tests are adopted 1) SRT 2) IRT 3) TVT. Nodes which pass tests are expanded further. Results obtained from mining of all filtered independent subtrees shows all FCPs present in transactions.

关键词： frequent closed pattern mining algorithm 3 dimensional mining periodical data mining

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