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IEEE Transactions on Knowledge and Data Engineering

Issue 2 • Feb. 2006

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Displaying Results 1 - 17 of 17
  • [Front cover]

    Publication Year: 2006, Page(s): c1
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  • [Inside front cover]

    Publication Year: 2006, Page(s): c2
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  • Distance-based detection and prediction of outliers

    Publication Year: 2006, Page(s):145 - 160
    Cited by:  Papers (73)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2048 KB) | HTML iconHTML

    A distance-based outlier detection method that finds the top outliers in an unlabeled data set and provides a subset of it, called outlier detection solving set, that can be used to predict the outlierness of new unseen objects, is proposed. The solving set includes a sufficient number of points that permits the detection of the top outliers by considering only a subset of all the pairwise distanc... View full abstract»

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  • An integrated framework for visualized and exploratory pattern discovery in mixed data

    Publication Year: 2006, Page(s):161 - 173
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1416 KB) | HTML iconHTML

    Data mining uncovers hidden, previously unknown, and potentially useful information from large amounts of data. Compared to the traditional statistical and machine learning data analysis techniques, data mining emphasizes providing a convenient and complete environment for the data analysis. In this paper, we propose an integrated framework for visualized, exploratory data clustering, and pattern ... View full abstract»

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  • A scalable hybrid approach for extracting head components from Web tables

    Publication Year: 2006, Page(s):174 - 187
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1688 KB) | HTML iconHTML

    We have established a preprocessing method for determining the meaningfulness of a table to allow for information extraction from tables on the Internet. A table offers a preeminent clue in text mining because it contains meaningful data displayed in rows and columns. However, tables are used on the Internet for both knowledge structuring and document design. Therefore, we were interested in deter... View full abstract»

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  • Integrating K-means clustering with a relational DBMS using SQL

    Publication Year: 2006, Page(s):188 - 201
    Cited by:  Papers (29)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (800 KB) | HTML iconHTML

    Integrating data mining algorithms with a relational DBMS is an important problem for database programmers. We introduce three SQL implementations of the popular K-means clustering algorithm to integrate it with a relational DBMS: 1) a straightforward translation of K-means computations into SQL, 2) an optimized version based on improved data organization, efficient indexing, sufficient statistics... View full abstract»

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  • On characterization and discovery of minimal unexpected patterns in rule discovery

    Publication Year: 2006, Page(s):202 - 216
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (616 KB) | HTML iconHTML

    A drawback of traditional data-mining methods is that they do not leverage prior knowledge of users. In prior work, we proposed a method that could discover unexpected patterns in data by using domain knowledge in a systematic manner. In this paper, we present new methods for discovering a minimal set of unexpected patterns by combining the two, independent concepts of minimality and unexpectednes... View full abstract»

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  • An integrated data preparation scheme for neural network data analysis

    Publication Year: 2006, Page(s):217 - 230
    Cited by:  Papers (21)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (792 KB) | HTML iconHTML

    Data preparation is an important and critical step in neural network modeling for complex data analysis and it has a huge impact on the success of a wide variety of complex data analysis tasks, such as data mining and knowledge discovery. Although data preparation in neural network data analysis is important, some existing literature about the neural network data preparation are scattered, and the... View full abstract»

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  • Generalized dimension-reduction framework for recent-biased time series analysis

    Publication Year: 2006, Page(s):231 - 244
    Cited by:  Papers (20)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1216 KB) | HTML iconHTML

    Recent-biased approximations have received increased attention recently as a mechanism for learning trend patterns from time series or data streams. They have shown promise for clustering time series and incrementally pattern maintaining. In this paper, we design a generalized dimension-reduction framework for recent-biased approximations, aiming at making traditional dimension-reduction technique... View full abstract»

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  • Transform-space view: performing spatial join in the transform space using original-space indexes

    Publication Year: 2006, Page(s):245 - 260
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1592 KB) | HTML iconHTML

    Spatial joins find all pairs of objects that satisfy a given spatial relationship. In spatial joins using indexes, original-space indexes such as the R-tree are widely used. An original-space index is the one that indexes objects as represented in the original space. Since original-space indexes deal with extents of objects, it is relatively complex to optimize join algorithms using these indexes.... View full abstract»

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  • A basic mathematical framework for conceptual graphs

    Publication Year: 2006, Page(s):261 - 271
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (192 KB) | HTML iconHTML

    Based on the original idea of Sowa on conceptual graph and a recent formalism by Corbett on ontology, this paper presents a rigorous mathematization of basic concepts encountered in the conceptual structure theory, including canon, ontology, conceptual graph, projection, and canonical formation operations, with the aim of deriving their mathematical properties and applying them to future research ... View full abstract»

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  • WebGuard: a Web filtering engine combining textual, structural, and visual content-based analysis

    Publication Year: 2006, Page(s):272 - 284
    Cited by:  Papers (56)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (744 KB) | HTML iconHTML

    Along with the ever-growing Web comes the proliferation of objectionable content, such as sex, violence, racism, etc. We need efficient tools for classifying and filtering undesirable Web content. In this paper, we investigate this problem and describe WebGuard, an automatic machine learning-based pornographic Web site classification and filtering system. Unlike most commercial filtering products,... View full abstract»

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  • Call for Papers for Special Issue on Knowledge and Data Management and Engineering in Intelligence and Security Informatics

    Publication Year: 2006, Page(s): 285
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  • [Advertisement]

    Publication Year: 2006, Page(s): 286
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  • [Advertisement]

    Publication Year: 2006, Page(s):287 - 288
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  • TKDE Information for authors

    Publication Year: 2006, Page(s): c3
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  • [Back cover]

    Publication Year: 2006, Page(s): c4
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Aims & Scope

IEEE Transactions on Knowledge and Data Engineering (TKDE) informs researchers, developers, managers, strategic planners, users, and others interested in state-of-the-art and state-of-the-practice activities in the knowledge and data engineering area.

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Meet Our Editors

Editor-in-Chief
Xuemin Lin
University of New South Wales

Associate Editor-in-Chief
Lei Chen
Hong Kong University of Science and Technology