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Clustering Heterogeneous Data Sets

Clustering Heterogeneous Data Sets

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Proceedings of the Latin American Web Congress (LA-Web)

作者： Artur Abdullin Olfa Nasraoui Knowledge Discovery and Web Mining Laboratory Department of Computer Engineering and Computer Science University of Louisville Louisville KY USA

Recent years have seen an increasing interest in clustering data comprising multiple domains or modalities, such as categorical, numerical and transactional, etc. This kind of data is sometimes found within the context of clustering multiview, heterogeneous, or multimodal data. Traditionally, different types of attributes or domains have been handled by first combining them into one format (possibly using some type of conversion) and then following with a traditional clustering algorithm, or computing a combined distance matrix that takes into account the distance values for each domain, then following with a relational or graph clustering approach. In other cases where data consists of multiple views, multiview clustering has been used to cluster the data. In this paper, we review the existing approaches such as multiview clustering and discuss several additional approaches that can be harnessed for the purpose of clustering heterogeneous data once they are adapted for this purpose. The additional approaches include ensemble clustering, collaborative clustering and semi-supervised clustering.

关键词： Clustering algorithms Collaboration Peer to peer computing Partitioning algorithms Hidden Markov models Linear programming Distortion measurement

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Research of the timer granularity based on linux

Research of the timer granularity based on linux

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

作者： Qingtian, Geng Nan, Jiang Hongwei, Zhao Junling, Liu Department of Computer Science and Technology Jilin University Changchun 130012 China Changchun Normal University Changchun 130032 China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University Changchun 130012 China

ISBN: (纸本)9789400718388

Time interrupts play an important role in the system. When time interrupts occur, system will inspect process running state, providing an opportunity to schedule, which is important for improving system real time performance. For the low system real-time ability of Linux, the paper adopt enhancing time granularity to improve system real time ability by means of one-shot triggering mode. The kernel of one-shot mode time interrupt is that: the system need not have to respond to any change every time, but only make response when having to respond. Experimental results show that the system real-time ability of Linux is improved through enhancing time granularity. © 2012 Springer science+Business Media B.V.

关键词： Linux

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Efficient approximation of the maximal preference scores by lightweight cubic views

Efficient approximation of the maximal preference scores by ...

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15th International Conference on Extending Database Technology, EDBT 2012

作者： Chen, Yueguo Cui, Bin Du, Xiaoyong Tung, Anthony K. H. Key Laboratory of Data Engineering and Knowledge Engineering Renmin University of China MOE China Department of Computer Science Peking University Beijing China School of Information Renmin University of China Beijing China School of Computing National University of Singapore Singapore Singapore

ISBN: (纸本)9781450307901

Given a multi-features data set, a best preference query (BPQ) computes the maximal preference score (MPS) that the tuples in the data set can achieve with respect to a preference function. BPQs are very useful in applications where users want to efficiently check whether many individual data sets contain tuples that are of interest to them. Although a BPQ can be naïvely answered by issuing a top-1 query and computing the score from the returned tuple, doing so might require to load a larger number of tuples externally. In this paper, we address the problem of efficient processing BPQs by using lightweight cubic (3-dimensional) views. With these in-memory views, the MPSs of BPQs can be efficiently estimated with an error bound guaranteed, by paying only a small number of I/Os. Extensive experimental results over real-life data sets show that our approximate solution can achieve the efficiency of up to three orders of magnitude compared to exact solutions, with certain accuracy guaranteed. © 2012 ACM.

关键词： best preference score materialized views preference query top-k query

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Evaluation of knowledge sharing in a collaborative software

Evaluation of knowledge sharing in a collaborative software

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5th International Multi-Conference on engineering and Technological Innovation, IMETI 2012

作者： Juliani, Douglas Juliani, Jordan De Abreu, Aline França De Souza, João Artur Postgraduate Programme in Engineering and Knowledge Management Federal University of Santa Catarina - UFSC Brazil Department of Computer Science Federal Institute of Santa Catarina - IFSC Brazil Department of Library and Information Management State University of Santa Catarina - UDESC Florianopolis Brazil

ISBN: (纸本)9781936338740

The widespread use of collaborative applications as a means of communication, research and collation of information, among others, has significantly accelerated the acquisition, dissemination, and especially the sharing of information and knowledge among individuals. Thus, understanding the factors influencing this process is crucial to the success of a software based on the contribution of people. In this research, among the various factors analyzed, it was found that the usability and the characteristics of individuals are crucial to assess knowledge sharing in a knowledge-based system, in this case, the social software PreipoPublico. We chose to use questionnaire with 23 items as an evaluation tool that, based on two existing, refurbished and was validated by pre-testing and statistical technique. Being 19 closed questions (categorical measures) and 4 open, descriptive. Results showed that users are predisposed to share their knowledge and information about product prices in the software. Still, it was shown that the system has a high degree of usability, despite some difficulties encountered by most respondents coming from the fact it is the first system to access them. The comments collected from the open questions suggest system improvements. Copyright © 2008 by the International Institute of Informatics and Systemics.

关键词： knowledge based systems

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An extensive experimental comparison of methods for multi-label learning

An extensive experimental comparison of methods for multi-la...

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作者： Madjarov, Gjorgji Kocev, Dragi Gjorgjevikj, Dejan Džeroski, Sašo Faculty of Computer Science and Engineering Ss. Cyril and Methodius University Rugjer Boshkovikj 16 1000 Skopje Macedonia Department of Knowledge Technologies Jožef Stefan Institute Jamova cesta 39 1000 Ljubljana Slovenia

Multi-label learning has received significant attention in the research community over the past few years: this has resulted in the development of a variety of multi-label learning methods. In this paper, we present an extensive experimental comparison of 12 multi-label learning methods using 16 evaluation measures over 11 benchmark datasets. We selected the competing methods based on their previous usage by the community, the representation of different groups of methods and the variety of basic underlying machine learning methods. Similarly, we selected the evaluation measures to be able to assess the behavior of the methods from a variety of view-points. In order to make conclusions independent from the application domain, we use 11 datasets from different domains. Furthermore, we compare the methods by their efficiency in terms of time needed to learn a classifier and time needed to produce a prediction for an unseen example. We analyze the results from the experiments using Friedman and Nemenyi tests for assessing the statistical significance of differences in performance. The results of the analysis show that for multi-label classification the best performing methods overall are random forests of predictive clustering trees (RF-PCT) and hierarchy of multi-label classifiers (HOMER), followed by binary relevance (BR) and classifier chains (CC). Furthermore, RF-PCT exhibited the best performance according to all measures for multi-label ranking. The recommendation from this study is that when new methods for multi-label learning are proposed, they should be compared to RF-PCT and HOMER using multiple evaluation measures. © 2012 Elsevier Ltd. All rights reserved.

关键词： Learning systems

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A hybrid optimization algorithm for the multi-chromosomal reversal median problem

A hybrid optimization algorithm for the multi-chromosomal re...

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1st International Conference on engineering and Technology Innovation, ICETI 2011

作者： Zhang, Yi Zhang, Meng Department of Computer Science Jilin Business and Technology College Changchun 130062 China Military Simulation Technology Institute Air Force Aviation University Changchun130022 China Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education College of Computer Science and Technology Jilin University Changchun 130012 China

ISBN: (纸本)9783037853245

In this paper, we introduce a hybrid optimization algorithm with the Branch-and-Bound Method and the Ant Colony Optimization to solve the multi-chromosomal reversal median problem. We convert the large-scale genome into TSP maps at first. Then we use a hybrid optimization algorithm with the Branch-and-Bound Method and the Ant Colony Optimization to solve the problem. In our improved algorithm, we increase the search speed by implement multi-branch parallel search of ACO. Our extensive experiments on simulated datasets show that this median solver is efficient.

关键词： Ant colony optimization

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Dataset, ground-truth and performance metrics for table detection evaluation

Dataset, ground-truth and performance metrics for table dete...

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10th IAPR International Workshop on Document Analysis Systems, DAS 2012

作者： Fang, Jing Tao, Xin Tang, Zhi Qiu, Ruiheng Liu, Ying Institute of Computer Science and Technology Peking University Beijing China State Key Laboratory of Digital Publishing Technology Founder Group Substation Postdoctoral Workstation of the Zhongguancun Haidian Science Park Beijing China Department of Knowledge Service Engineering KAIST Daejeon Korea Republic of

ISBN: (纸本)9780769546612

Table detection is an important task in the field of document analysis. It has been extensively studied since a couple of decades. Various kinds of document mediums are involved, from scanned images to web pages, from plain texts to PDF files. Numerous algorithms published bring up a challenging issue: how to evaluate algorithms in different context. Currently, most work on table detection conducts experiments on their in-house dataset. Even the few sources of online datasets are targeted at image documents only. Moreover, Precision and recall measurement are usual practice in order to account performance based on human evaluation. In this paper, we provide a dataset that is representative, large and most importantly, publicly available. The compatible format of the ground truth makes evaluation independent of document medium. We also propose a set of new measures, implement them, and open the source code. Finally, three existing table detection algorithms are evaluated to demonstrate the reliability of the dataset and metrics. © 2012 IEEE.

关键词： Websites

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Malay anaphor and antecedent candidate identification: A proposed solution

Malay anaphor and antecedent candidate identification: A pro...

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4th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2012

作者： Mohd Noor, Noorhuzaimi Karimah Noah, Shahrul Azman Ab Aziz, Mohd Juzaiddin Hamzah, Mohd Pouzi Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Lebuhraya Tun Razak Pahang Kuantan 26300 Malaysia Knowledge Technology Research Group Faculty of Technology and Information Science Universiti Kebangsaan Malaysia Selangor Bangi 43600 Malaysia Department of Computer Science Faculty of Science Technology Universiti Malaysia Terengganu Terengganu Kuala Terengganu 21030 Malaysia

ISBN: (纸本)9783642284922

This paper discusses on Malay language anaphor and antecedent candidate determination using the knowledge-poor techniques. The process to determine the candidate for anaphor and antecedent is important because the usage of pronouns in a text is not always considered as an anaphor. Sometimes pronoun referred to something outside the context or does not refer to any situation in the text. Such a situation is also exhibited in the use of pronouns in Malay language. Therefore, certain rules must be issued to identify the antecedent and anaphor candidate. Pronoun usage in Malay language does indicate the gender of the person, but to distinguish the status of the person such as imperial family, honorable people and common people. Thus, generic rules that have been used by other languages cannot simply be adapted for Malay language. The proposed solution concerns with the distance of each candidate and location of the Subject-Verb-Object (SVO) used to determine the anaphor candidate. As such, syntactic information, semantic information and distance of anaphor-antecedent are seen important to determine the antecedent candidate. © 2012 Springer-Verlag.

关键词： Semantics

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Modified Roaming Optimization for multi-modal optima

Modified Roaming Optimization for multi-modal optima

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International Conference on Emerging Applications of Information Technology (EAIT)

作者： Chakravarhi Jada Harish Yenala Kranthi Kumar Rachavarapu Naveen Kumar Chittipolu S. N. Omkar Department of Electronics and Communication Engineering Department of Computer Science and Engineering Rajiv Gandhi University of Knowledge Technologies Basar India Department of Aerospace Engineering Indian Institute of Science Bangalore India

This paper explains the algorithm of Modified Roaming Optimization (MRO) for capturing the multiple optima for multimodal functions. There are some similarities between the Roaming Optimization (RO) and MRO algorithms, but the MRO algorithm is created to overcome the problems facing while applying the RO to the problems possessing large number of solutions. The MRO mainly uses the concept of density to overcome the challenges posed by RO. The algorithm is tested with standard test functions and also discussions are made to improve the efficacy of the MRO algorithm. This paper also gives the results of MRO applied for solving Inverse Kinematics (IK) problem for SCARA and PUMA robots.

关键词： Optimization Kinematics Sociology Statistics Clustering algorithms Service robots

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E-government and policy simulation in intelligent virtual environments

E-government and policy simulation in intelligent virtual en...

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8th International Conference on Web Information Systems and Technologies, WEBIST 2012

作者： Aisopos, Fotis Kardara, Magdalini Senger, Philipp Klinger, Roman Papaoikonomou, Athanasios Tserpes, Konstantinos Gardner, Michael Varvarigou, Theodora Distributed Knowledge and Media Systems Lab. National Technical University of Athens Athens Greece Department of Bioinformatics Fraunhofer SCAI 53754 Sankt Augustin Germany School of Computer Science and Electronic Engineering University of Essex Colchester United Kingdom

ISBN: (纸本)9789898565082

Recently, there has been an increase of interest in the social impact of virtual reality technologies, as virtual worlds experienced an increase of their popularity in various social groups (teenagers, businesses). The growing trend for people to spend more time in suchlike virtual spaces implies a demand for intelligent virtual environments, that could mimic the real world as a simulation and provide functionalities and tools for behaviour analysis and adaptation to user preferences. Within the context of e-government, this paper presents the ongoing project +Spaces, which is developing a range of virtual environment tools. The platform architecture is presented and technical challenges involved in creating intelligent virtual spaces for e-government as well as draft policies to be used in role-playing simulations are discussed.

关键词： Virtual reality

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