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IEEE Transactions on Knowledge and Data Engineering

Issue 11 • Nov. 2008

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Displaying Results 1 - 15 of 15
  • [Front cover]

    Publication Year: 2008, Page(s): c1
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  • [Inside front cover]

    Publication Year: 2008, Page(s): c2
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  • A Point Symmetry-Based Clustering Technique for Automatic Evolution of Clusters

    Publication Year: 2008, Page(s):1441 - 1457
    Cited by:  Papers (65)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4201 KB) | HTML iconHTML

    In this paper, a new symmetry-based genetic clustering algorithm is proposed which automatically evolves the number of clusters as well as the proper partitioning from a data set. Strings comprise both real numbers and the don't care symbol in order to encode a variable number of clusters. Here, assignment of points to different clusters are done based on a point symmetry (PS)-based distance rathe... View full abstract»

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  • On Data Labeling for Clustering Categorical Data

    Publication Year: 2008, Page(s):1458 - 1472
    Cited by:  Papers (21)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2389 KB) | HTML iconHTML

    Sampling has been recognized as an important technique to improve the efficiency of clustering. However, with sampling applied, those points which are not sampled will not have their labels after the normal process. Although there is a straightforward approach in the numerical domain, the problem of how to allocate those unlabeled data points into proper clusters remains as a challenging issue in ... View full abstract»

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  • Mining Loosely Structured Motifs from Biological Data

    Publication Year: 2008, Page(s):1472 - 1489
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4011 KB) | HTML iconHTML Multimedia Media

    The discovery of information encoded in biological sequences is assuming a prominent role in identifying genetic diseases and in deciphering biological mechanisms. This information is usually encoded in patterns frequently occurring in the sequences, also called motifs. In fact, motif discovery has received much attention in the literature, and several algorithms have already been proposed, which ... View full abstract»

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  • Bias and Controversy in Evaluation Systems

    Publication Year: 2008, Page(s):1490 - 1504
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2424 KB) | HTML iconHTML

    Evaluation is prevalent in real life. With the advent of Web 2.0, online evaluation has become an important feature in many applications that involve information (e.g., video, photo, and audio) sharing and social networking (e.g., blogging). In these evaluation settings, a set of reviewers assign scores to a set of objects. As part of the evaluation analysis, we want to obtain fair reviews for all... View full abstract»

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  • Personalized Concept-Based Clustering of Search Engine Queries

    Publication Year: 2008, Page(s):1505 - 1518
    Cited by:  Papers (40)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4227 KB) | HTML iconHTML

    The exponential growth of information on the Web has introduced new challenges for building effective search engines. A major problem of Web search is that search queries are usually short and ambiguous, and thus are insufficient for specifying the precise user needs. To alleviate this problem, some search engines suggest terms that are semantically related to the submitted queries so that users c... View full abstract»

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  • Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters

    Publication Year: 2008, Page(s):1519 - 1534
    Cited by:  Papers (60)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (9176 KB) | HTML iconHTML

    In this paper, we present an agglomerative fuzzy K-means clustering algorithm for numerical data, an extension to the standard fuzzy K-means algorithm by introducing a penalty term to the objective function to make the clustering process not sensitive to the initial cluster centers. The new algorithm can produce more consistent clustering results from different sets of initial clusters centers. Co... View full abstract»

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  • Using Context to Improve Predictive Modeling of Customers in Personalization Applications

    Publication Year: 2008, Page(s):1535 - 1549
    Cited by:  Papers (57)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2647 KB) | HTML iconHTML

    The idea that context is important when predicting customer behavior has been maintained by scholars in marketing and data mining. However, no systematic study measuring how much the contextual information really matters in building customer models in personalization applications has been done before. In this paper, we study how important the contextual information is when predicting customer beha... View full abstract»

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  • Web People Search via Connection Analysis

    Publication Year: 2008, Page(s):1550 - 1565
    Cited by:  Papers (15)  |  Patents (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4579 KB) | HTML iconHTML Multimedia Media

    Nowadays, searches for Webpages of a person with a given name constitute a notable fraction of queries to web search engines. Such a query would normally return Webpages related to several namesakes, who happened to have the queried name, leaving the burden of disambiguating and collecting pages relevant to a particular person (from among the namesakes) on the user. In this article we develop a We... View full abstract»

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  • Modeling Image Data for Effective Indexing and Retrieval in Large General Image Databases

    Publication Year: 2008, Page(s):1566 - 1580
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2316 KB) | HTML iconHTML

    In this paper, we propose an image semantic model based on the knowledge and criteria in the field of linguistics and taxonomy. Our work bridges the "semantic gap" by seamlessly exploiting the synergy of both visual feature processing and semantic relevance computation in a new way, and provides improved query efficiency and effectiveness for large general image databases. Our main contributions a... View full abstract»

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  • Call for Papers for Special Issue on Domain-Driven Data Mining

    Publication Year: 2008, Page(s): 1581
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  • IEEE Computer Society 2009 Membership Application

    Publication Year: 2008, Page(s):1582 - 1584
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  • TKDE Information for authors

    Publication Year: 2008, Page(s): c3
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  • [Back cover]

    Publication Year: 2008, 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.

Full Aims & Scope

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