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IEEE Transactions on Knowledge and Data Engineering

Issue 2 • Date Feb. 2008

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Displaying Results 1 - 17 of 17
  • [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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  • Eliciting Consumer Preferences Using Robust Adaptive Choice Questionnaires

    Publication Year: 2008, Page(s):145 - 155
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1695 KB) | HTML iconHTML

    We propose a framework for designing adaptive choice-based conjoint questionnaires that are robust to response error. It is developed based on a combination of experimental design and statistical learning theory principles. We implement and test a specific case of this framework using Regularization Networks. We also formalize within this framework the polyhedral methods recently proposed in marke... View full abstract»

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  • A Lazy Approach to Associative Classification

    Publication Year: 2008, Page(s):156 - 171
    Cited by:  Papers (28)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (7419 KB) | HTML iconHTML

    Associative classification is a promising technique to build accurate classifiers. However, in large or correlated data sets, association rule mining may yield huge rule sets. Hence, several pruning techniques have been proposed to select a small subset of high-quality rules. Since the availability of a "rich" rule set may improve the accuracy of the classifier, we argue that rule pruning should b... View full abstract»

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  • On Modularity Clustering

    Publication Year: 2008, Page(s):172 - 188
    Cited by:  Papers (209)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1284 KB) | HTML iconHTML

    Modularity is a recently introduced quality measure for graph clusterings. It has immediately received considerable attention in several disciplines, particularly in the complex systems literature, although its properties are not well understood. We study the problem of finding clusterings with maximum modularity, thus providing theoretical foundations for past and present work based on this measu... View full abstract»

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  • Learning a Maximum Margin Subspace for Image Retrieval

    Publication Year: 2008, Page(s):189 - 201
    Cited by:  Papers (82)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4094 KB) | HTML iconHTML

    One of the fundamental problems in Content-Based Image Retrieval (CBIR) has been the gap between low-level visual features and high-level semantic concepts. To narrow down this gap, relevance feedback is introduced into image retrieval. With the user-provided information, a classifier can be learned to distinguish between positive and negative examples. However, in real-world applications, the num... View full abstract»

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  • A Web Usage Mining Framework for Mining Evolving User Profiles in Dynamic Web Sites

    Publication Year: 2008, Page(s):202 - 215
    Cited by:  Papers (53)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4219 KB) | HTML iconHTML

    In this paper, we present a complete framework and findings in mining Web usage patterns from Web log files of a real Web site that has all the challenging aspects of real-life Web usage mining, including evolving user profiles and external data describing an ontology of the Web content. Even though the Web site under study is part of a nonprofit organization that does not "sell" any products, it ... View full abstract»

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  • Incremental Maintenance of Online Summaries Over Multiple Streams

    Publication Year: 2008, Page(s):216 - 229
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2992 KB) | HTML iconHTML

    We propose a novel approach based on predictive quantization (PQ) for online summarization of multiple time-varying data streams. A synopsis over a sliding window of most recent entries is computed in one pass and dynamically updated in constant time. The correlation between consecutive data elements is effectively taken into account without the need for preprocessing. We extend PQ to multiple str... View full abstract»

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  • A Cost-Based Approach to Adaptive Resource Management in Data Stream Systems

    Publication Year: 2008, Page(s):230 - 245
    Cited by:  Papers (9)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1543 KB) | HTML iconHTML

    Data stream management systems need to adaptively control their resources, since stream characteristics and query workload may vary over time. In this paper, we investigate an approach to adaptive resource management for continuous sliding-window queries that adjusts window sizes and time granularities to keep resource usage within bounds. These two novel techniques differ from standard load shedd... View full abstract»

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  • Online Index Recommendations for High-Dimensional Databases Using Query Workloads

    Publication Year: 2008, Page(s):246 - 260
    Cited by:  Papers (2)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2462 KB) | HTML iconHTML

    High-dimensional databases pose a challenge with respect to efficient access. High-dimensional indexes do not work because of the often-cited "curse of dimensionality." However, users are usually interested in querying data over a relatively small subset of the entire attribute set at a time. A potential solution is to use lower dimensional indexes that accurately represent the user access pattern... View full abstract»

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  • Semantic Ideation Learning for Agent-Based E-Brainstorming

    Publication Year: 2008, Page(s):261 - 275
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3742 KB) | HTML iconHTML

    Brainstorming can assist organizations in generating creative ideas using teamwork and collaboration. However, the role of information technology in brainstorming is merely that of an assistant that passively supports the progression of brainstorming sessions rather than proactively engaging in the sessions. This paper integrates the unique association thinking of humans with an intelligent agent ... View full abstract»

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  • Distributed Suffix Tree Overlay for Peer-to-Peer Search

    Publication Year: 2008, Page(s):276 - 285
    Cited by:  Papers (20)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2241 KB) | HTML iconHTML

    Establishing an appropriate semantic overlay on peer-to-peer (P2P) networks to obtain both semantic ability and scalability is a challenge. Current DHT-based P2P networks are limited in their ability to support a semantic search. This paper proposes the distributed suffix tree (DST) overlay as the intermediate layer between the DHT overlay and the semantic overlay to support the search of a keywor... View full abstract»

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  • Mining Multimedia Streams in Large-Scale Distributed Environments

    Publication Year: 2008, Page(s): 286
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  • Join the IEEE Computer Society [advertisement]

    Publication Year: 2008, Page(s): 287
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  • Subscribe to IEEE Intelligent Systems [advertisement]

    Publication Year: 2008, Page(s): 288
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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
Jian Pei
Simon Fraser University

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

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