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International Conference on Computer, Informatics, Cybernetics and Applications 2011, CICA 2011

作者： Li, Zhangbing Che, Wujiang Liu, Jianxun School of Computer Science and Engineering Hunan University of Science and Technology Xiangtan China Key Lab. of Knowledge Processing and Networked Manufacture Hunan University of Science and Technology Xiangtan China

ISBN: (纸本)9789400718388

Traditional technologies for enterprise applications integration (EAI), such as CORBA and EJB/DCOM component or middleware, can not be handily extended in the systems for dynamic business requirements. To solve the problem, using the principle of service-oriented architecture (SOA), an EAI framework based on web services and its interfaces are designed. The framework is extensible to dynamic business requirement, and achieves well heterogeneous datum sharing and integration of application systems in enterprises. © 2012 Springer Science+Business Media B.V.

关键词： Web services

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Injecting Discrimination and Privacy Awareness Into Pattern Discovery

Injecting Discrimination and Privacy Awareness Into Pattern ...

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IEEE International Conference on data Mining Workshops (ICDM Workshops)

作者： Sara Hajian Anna Monreale Dino Pedreschi Josep Domingo-Ferrer Fosca Giannotti Department of Computer Engineering and Math. Universitat Rovira i Virgili Department of Computer Science Knowledge Discovery and Data Mining Lab ISTI-CNR Knowledge Discovery and Data Mining Lab Pisa

data mining is gaining societal momentum due to the ever increasing availability of large amounts of human data, easily collected by a variety of sensing technologies. data mining comes with unprecedented opportunities and risks: a deeper understanding of human behavior and how our society works is darkened by a greater chance of privacy intrusion and unfair discrimination based on the extracted patterns and profiles. Although methods independently addressing privacy or discrimination in data mining have been proposed in the literature, in this context we argue that privacy and discrimination risks should be tackled together, and we present a methodology for doing so while publishing frequent pattern mining results. We describe a combined pattern sanitization framework that yields both privacy and discrimination-protected patterns, while introducing reasonable (controlled) pattern distortion.

关键词： data privacy Privacy Additives Context Itemsets data models

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Chinese morpheme-based emotion detection on financial securities information

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Journal of Convergence Information Technology 2012年第20期7卷 406-418页

作者： Hairong, Bian Changxuan, Wan Guolin, Li Li, Yang School of Information Technology Jiangxi University of Finance and Economics Nanchang 330013 China Jiangxi Key Lab of Data and Knowledge Engineering Jiangxi University of Finance and Economics Nanchang 330013 China

With the unceasing improvement of data mining and natural language processing technology, more and more researchers devote themselves to comment resources on the Web. While there are no readymade emotional corpora in the financial and securities domain, emotional analysis applied in this field is still rare. As financial information is usually in the form of unstructured Web Text, this paper fully considers characteristics of financial information, and analyzes the emotion of Web Text by calculating their emotional inclination values based on evaluation scores of morpheme. For each document we compute an emotional value. Its symbol indicates the emotional inclination, and its absolute value reflects the emotional intensity. Thus, this can prevent the limitation of lacking emotional corpus in the financial and securities domain. Experimental results demonstrate that this presented scheme optimizes the existing main schemes to effectively analyze the emotional inclinations of Web financial information.

关键词： Sentiment analysis

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Interval valued fuzzy rough classifier and its application on privacy protection

Interval valued fuzzy rough classifier and its application o...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Su-Yun Zhao Si Lin Key Laboratory of Data Engineering and Knowledge Engineering MOE Renmin University of China Beijing China College of Science Beijing Forestry University Beijing China

Currently, most works on interval valued problems mainly focus on attribute reduction (i.e., feature selection) by using rough set technologies. However, less research work on classifier building on interval-valued problems has been conducted. It is promising to propose an approach to build classifier for interval-valued problems. In this paper, we propose a classification approach based on interval valued fuzzy rough sets. First, the concept of interval valued fuzzy granules are proposed, which is the crucial notion to build the reduction framework for the interval-valued databases. Second, the idea to keep the critical value invariant before and after reduction is selected. Third, the structure of reduction rule is completely studied by using the discernibility vector approach. After the description of rule inference system, a set of rules covering all the objects can be obtained, which is used as a rule based classifier for future classification. Finally, numerical examples are presented to illustrate feasibility and affectivity of the proposed method in the application of privacy protection.

关键词： Abstracts Diabetes Sonar Iris Accuracy

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Detecting Compromised Kernel Hooks with Support of Hardware Debugging Features

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China Communications 2012年第10期9卷 78-90页

作者： Shi Wenchang Zhou HongWei Yuan JinHui Liang Bin School of Information Renmin University of China Beijing 100872 P. R. China Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education Renmin University of China Beijing 100872 P. R. China Information Engineering University of China Zhengzhou 450004 P. R. China

Although there exist a few good schemes to protect the kernel hooks of operating systems, attackers are still able to circumvent existing defense mechanisms with spurious context infonmtion. To address this challenge, this paper proposes a framework, called HooklMA, to detect compromised kernel hooks by using hardware debugging features. The key contribution of the work is that context information is captured from hardware instead of from relatively vulnerable kernel data. Using commodity hardware, a proof-of-concept pro- totype system of HooklMA has been developed. This prototype handles 3 082 dynamic control-flow transfers with related hooks in the kernel space. Experiments show that HooklMA is capable of detecting compomised kernel hooks caused by kernel rootkits. Performance evaluations with UnixBench indicate that runtirre overhead introduced by HooklMA is about 21.5%.

关键词： operating system kernel hook integrity hardware control flow

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A note on synchronization of a fractional order coullet chaotic system

A note on synchronization of a fractional order coullet chao...

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2nd International Conference on Intelligent Systems Design and engineering Applications, ISDEA 2012

作者： Tan, Wen Jiang, Fengling Liu, Jianxun Chen, Min Key Lab. of Knowledge Processing and Networked Manufacture Hunan University of Science and Technology Xiangtan Hunan 411201 China College of Information and Electrical Engineering Hunan University of Science and Technology XiangtanHunan411201 China

ISBN: (纸本)9780769546087

In this paper, chaos synchronization problem of the fractional order Coullet system in a master-slave pattern is investigated by using the nonlinear feedback control method. Suitable synchronization conditions are analyzed based on the Lyapunov stability theory. And the synchronization of commensurate order Coullet chaotic system of the base order 0.98 is implemented by virtue of the method. Numerical simulations are provided to verify the performance of the proposed controller. © 2012 IEEE.

关键词： Chaotic systems

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Generalized Unique Game Problem

Generalized Unique Game Problem

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2012年全国理论计算机科学学术年会(NCTCS2012)

作者： Peng Cui Key Laboratory of Data Engineering and Knowledge Engineering MOE School of Information Resource Management Renmin University of China Beijing 100872 P.R.China

this paper,the author defines Generalized Unique Game Problem (GUGP),where weights of the edges are allowed to be *** special types of GUGP are illuminated,GUGP-NWA,where the weights of all edges are negative,and GUGP-PWT(ρ),where the total weight of all edges are positive and the negative-positive ratio is at most ρ.

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An Approach for Personalized Tag Recommendation Based on Interest Transfer Model

An Approach for Personalized Tag Recommendation Based on Int...

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Web Information Systems and Applications Conference (WISA)

作者： Yue Liu Nan Yang Gang Yang The school of Information Renmin University of China Bejing China The school of Information Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education Renmin University of China Bejing China

Recently, social tagging systems become more and more popular in many Web 2.0 applications. In such systems, Users are allowed to annotate a particular resource with a freely chosen a set of tags. These user-generated tags can represent users' interests more concise and closer to human understanding. Interests will change over time. Thus, how to describe users' interests and interests transfer path become a big challenge for personalized recommendation systems. In this approach, we propose a variable-length time interval division algorithm and user interest model based on time interval. Then, in order to draw users' interests transfer path over a specific time period, we suggest interest transfer model. After that, we apply a classical community partition algorithm in our approach to separate users into communities. Finally, we raise a novel method to measure users' similarities based on interest transfer model and provide personalized tag recommendation according to similar users' interests in their next time intervals. Experimental results demonstrate the higher precision and recall with our approach than classical user-based collaborative filtering methods.

关键词： Mathematical model Computational modeling Collaboration Educational institutions Tagging Filtering Heuristic algorithms

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Neural network classifier of time series: A case study of symbolic representation preprocessing for Control Chart Patterns

Neural network classifier of time series: A case study of sy...

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International Conference on Natural Computation (ICNC)

作者： K. Lavangnananda P. Sawasdimongkol Data & Knowledge Engineering Lab. School of Information Technology King Mongkut's University of Technology Thonburi Bangkok Thailand

Detecting abnormalities in manufacturing process at an early stage is advantageous. This can be done by monitoring its Control Chart Patterns (CCPs). These patterns can be considered as time series data. Therefore, accurate classification of CCPs is vital in the process control. There have been several types of CCPs classifiers with various degrees of accuracy. This work is concerned with implementation of a CCPs classifier based on neural networks and symbolic representation as its preprocessing method. CCPs are generated by the commonly used Generalized Autoregressive Conditional Heteroskedasticity (GARH) Model. Several of both feed forward and recurrent networks are investigated for the classifier. The symbolic representation of time series known as Symbolic Aggregate Approximation (SAX) is selected as its application was satisfactory in numerous similar works. In feed forward network, the Multilayer Perceptron network yields the best performance while Time-lag network yields the best performance for recurrent network. The results of neural network classifier which utilizes SAX in preprocessing in this work are superior than previous works which used the same CCPs model.

关键词： Time series analysis Biological neural networks Control charts Process control Feeds Multilayer perceptrons

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LotusX: A Position-Aware XML Graphical Search System with Auto-Completion

LotusX: A Position-Aware XML Graphical Search System with Au...

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International Conference on data engineering

作者： Chunbin Lin Jiaheng Lu Tok Wang Ling Bogdan Cautis Key Laboratory of Data Engineering and Knowledge Engineering MOE Renmin University of China China School of Computing National University of Singapore Singapore Télécom Paris Technology France

ISBN: (纸本)9781467300421

The existing query languages for XML (e.g., XQuery) require professional programming skills to be formulated, however, such complex query languages burden the query processing. In addition, when issuing an XML query, users are required to be familiar with the content (including the structural and textual information) of the hierarchical XML, which is diffcult for common users. The need for designing user friendly interfaces to reduce the burden of query formulation is fundamental to the spreading of XML community. We present a twig-based XML graphical search system, called LotusX, that provides a graphical interface to simplify the query processing without the need of learning query language and data schemas and the knowledge of the content of the XML document. The basic idea is that LotusX proposes "position-aware" and "auto-completion" features to help users to create tree-modeled queries (twig pattern) by providing the possible candidates on-the-fly. In addition, complex twig queries (including order sensitive queries) are supported in LotusX. Furthermore, a new ranking strategy and a query rewriting solution are implemented to rank and rewrite the query effectively. We provide an online demo for LotusX system: http://***:8080/LotusX.

关键词： XML database languages Indexes Books Query processing Programming keyword search

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