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Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on

Date 14-16 Aug. 2009

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  • [Front cover - Vol 1]

    Publication Year: 2009, Page(s): C1
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  • [Title page i - Volume 1]

    Publication Year: 2009, Page(s): i
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  • [Title page iii - Volume 1]

    Publication Year: 2009, Page(s): iii
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  • [Copyright notice - Volume 1]

    Publication Year: 2009, Page(s): iv
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  • Table of contents - Volume 1

    Publication Year: 2009, Page(s):v - xii
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  • Message from the Co-Chairs - Volume 1

    Publication Year: 2009, Page(s): xiii
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  • Organizing Committee - Volume 1

    Publication Year: 2009, Page(s): xiv
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  • Program Committee - Volume 1

    Publication Year: 2009, Page(s):xv - xvi
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  • list-reviewer

    Publication Year: 2009, Page(s):xvii - xviii
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  • A Class Core Extraction Method for Text Categorization

    Publication Year: 2009, Page(s):3 - 7
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (349 KB) | HTML iconHTML

    Text categorization is an important research field within text mining. A document, actually, is often full of class-independent ¿general¿ words which many documents and classes share. These ¿general¿ words do harm to text categorization rather than contribute to the task. Inspired by human cognitive procedure in text classification task, we propose a novel approach called Class Core Extraction... View full abstract»

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  • A Fast Algorithm for Hand Gesture Recognition Using Relief

    Publication Year: 2009, Page(s):8 - 12
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (388 KB) | HTML iconHTML

    The paper describes a gesture recognition algorithm which can effectively recognize single-hand gestures in real time under complex environment. The system involves a vocabulary of 20 gestures consisted by part of Chinese sign language letter spelling alphabet and digits. A new complexion model has been proposed to extract hand regions under a variety of lighting conditions. Real-time performance ... View full abstract»

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  • A Feature Selection Algorithm Based on Poisson Estimates

    Publication Year: 2009, Page(s):13 - 18
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (387 KB) | HTML iconHTML

    Feature selection is one of the key technologies for text categorization. Currently, it mainly includes technologies based statistics which is primarily from information theory and technologies based semantics which covers natural language processing, semantic Web etc.. Based on Poisson hypothesis, this article presents a new method combining both and tries to find features in documents with more ... View full abstract»

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  • A Forecast Model of Hydrologic Single Element Medium and Long-Period Based on Rough Set Theory

    Publication Year: 2009, Page(s):19 - 25
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (387 KB) | HTML iconHTML

    Based on rough set theory, this paper presents the single element medium and long-term classification forecast model which uses historical data of a hydrologic series as forecast factors. The minimal rule set, i.e., forecast pattern set, is achieved according to the principle of maximal attribute significance and rules frequency. Maximal support strength is put forward and applied to predict by us... View full abstract»

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  • A HowNet-based Feature Selection Method for Chinese Text Representation

    Publication Year: 2009, Page(s):26 - 30
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (323 KB) | HTML iconHTML

    Data dimension reduction plays an important role in the field of text representation. An effective dimension reduction method can not only reduce computation complexity, but help to improve the accuracy of text classification. This paper presents a new method of dimension reduction which is based on words semantic similarities. Being different with traditional methods which usually use the statist... View full abstract»

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  • A Hybrid Selective Classifier for Categorizing Incomplete Data

    Publication Year: 2009, Page(s):31 - 34
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (298 KB) | HTML iconHTML

    Selective classifiers can effectively improve the accuracy and efficiency of classification by deleting irrelevant or redundant attributes of a data set. Though many selective classifiers have been proposed, most of them deal with complete data. Yet actual data sets are often incomplete and have many redundant or irrelevant attributes. So constructing selective classifiers for incomplete data is i... View full abstract»

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  • A Method for Implementing a Statistically Significant Number of Data Classes in the Jenks Algorithm

    Publication Year: 2009, Page(s):35 - 38
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (249 KB) | HTML iconHTML

    The Jenks natural breaks algorithm is a standard method for dividing a dataset into a certain number of homogenous classes. The algorithm is commonly used in geographic information systems (GIS) applications. One major drawback to the use of Jenks in this context is that the number of desired classes must be indicated before the algorithm is applied to the dataset. Without a mechanism for determin... View full abstract»

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  • A New Approach for Motif Discovery Based on the de Bruijn Graph

    Publication Year: 2009, Page(s):39 - 42
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (336 KB) | HTML iconHTML

    This paper attempts to provide a new approach to discover conserved regions such as motifs in either DNA or Protein sequences. We have followed a graph-based approach to solve this problem, in particular, using the idea of de Bruijn graphs. The de Bruijn graph has been successfully adopted to solve problems such as local alignment and DNA fragment assembly. Our method harnesses the power of the de... View full abstract»

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  • A New Grid Computation-Based Min-Min Algorithm

    Publication Year: 2009, Page(s):43 - 45
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (311 KB) | HTML iconHTML

    The traditional min-min algorithm is analyzed carefully based on the research of the existing mission scheduling algorithms of grid computation, and it is pointed out that the flaw of load unbalance exists in the min-min algorithm. An improved segmental method-based algorithm is introduced on the ground of min-min algorithm, on the contrary, whose flaw is solved efficiently by the improved algorit... View full abstract»

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  • A New Model for Complete Ranking Problems in MCDA Based on Multi-graded Dominance Relations

    Publication Year: 2009, Page(s):46 - 51
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (380 KB) | HTML iconHTML

    After Greco et al. introduce PCT (Pairwise Comparison Table) into rough sets, with this extension rough sets method can resolve ranking and choice problems in MCDA. But there are still two problems: one is how to change decision table into PCT, meanwhile to avoid losing information; the other is how to get complete ranking of alternatives, as different alternatives have the same net flow value in ... View full abstract»

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  • A New Model of Grassland Net Primary Productivity (NPP) Based on the Integrated Orderly Classification System of Grassland

    Publication Year: 2009, Page(s):52 - 56
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (463 KB) | HTML iconHTML

    The natural grasslands play a significant but poorly recognized role in the global carbon cycle. Research on NPP of grassland ecosystems is and will continue to be important. In this respect, climate-vegetation models have been drawing much attention and widely applied internationally owing to its simplicity. Grassland types and their distribution pattern could be corresponded with certain climati... View full abstract»

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  • A New Model of Multi-class Support Vector Machine with Parameter v

    Publication Year: 2009, Page(s):57 - 61
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (324 KB) | HTML iconHTML

    A new model of multi-class support vector machine with parameter v (v-MC-SVM) is proposed firstly based on v-SVM. Existence of optimal solutions and dual problem of v-MC-SVM are also given. Because the constraints of v-MC-SVM are too complicated, one-class SVM problem is given by adding bm to the objective function of v-MC-SVM and employing the Kesler's construction which simplify the o... View full abstract»

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  • A New Text Feature Conversion Method for Text Classification

    Publication Year: 2009, Page(s):62 - 66
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (335 KB) | HTML iconHTML

    Keywords normally carry large amount of category information. In order to fully utilize this kind of information for text classification, this paper proposes a new text feature conversion method based on the SKG model. The method uses the classified texts with the listed key words as the training data to train the classifier. To expand the keyword space, we construct the KWB model and do the text ... View full abstract»

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  • A Novel Decision Support Model to Discover the Interesting Pattern in Football Match

    Publication Year: 2009, Page(s):67 - 70
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (313 KB) | HTML iconHTML

    This paper utilizes a novel decision support model to study the pattern in the football match, and to find the interesting association rule and cooperation custom. Data mining technique, serial data, pass time and ball possession are employed to build the decision model. The proposed model is not only expatiated in the article, but also is proved by the experiments. In short, the model provides a ... View full abstract»

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  • A Novel Visual Combining Classifier Based on a Two-dimensional Graphical Representation of the Attribute Data

    Publication Year: 2009, Page(s):71 - 75
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (535 KB) | HTML iconHTML

    A novel visual combining classifier (VCC), which integrates two-dimensional graphical representation of the attribute data, image processing and pattern recognition techniques together, has been proposed. The basic principle of the VCC is mapping attribute data of a data matrix to the two-dimensional graphs, transforming these graphs to sub classifiers by pixel graphs, and combining the sub classi... View full abstract»

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  • A Study of Data Fusion and Decision Algorithms Based on Cooperative Spectrum Sensing

    Publication Year: 2009, Page(s):76 - 80
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (369 KB) | HTML iconHTML

    The cooperative operation can improve the sensing performance of cognitive radio networks and reduce the sensing time. Combining multiple cognitive users' local detection results and making accurate judgment is essential to improve cooperative gain. According to uploaded information from cognitive users, hard decision based on the combination of large numbers and soft decision based on the confide... View full abstract»

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