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Knowledge and Data Engineering, IEEE Transactions on

Issue 2 • Date Feb. 2004

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Displaying Results 1 - 14 of 14
  • CAIM discretization algorithm

    Publication Year: 2004 , Page(s): 145 - 153
    Cited by:  Papers (82)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1063 KB) |  | HTML iconHTML  

    The task of extracting knowledge from databases is quite often performed by machine learning algorithms. The majority of these algorithms can be applied only to data described by discrete numerical or nominal attributes (features). In the case of continuous attributes, there is a need for a discretization algorithm that transforms continuous attributes into discrete ones. We describe such an algor... View full abstract»

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  • A graph-based approach for timing analysis and refinement of OPS5 knowledge-based systems

    Publication Year: 2004 , Page(s): 271 - 288
    Cited by:  Papers (6)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (523 KB) |  | HTML iconHTML  

    We examine the problem of predicting the timing behavior of knowledge-based systems for real-time applications. In particular, we describe a suite of tools which analyze OPS5 programs to understand their timing properties. First, a graphical representation of an OPS5 program is defined and evaluated. This graph represents the logical control flows of an OPS5 program. Most of our analysis is based ... View full abstract»

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  • Semantic conflict resolution ontology (SCROL): an ontology for detecting and resolving data and schema-level semantic conflicts

    Publication Year: 2004 , Page(s): 189 - 202
    Cited by:  Papers (44)  |  Patents (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (645 KB) |  | HTML iconHTML  

    Establishing semantic interoperability among heterogeneous information sources has been a critical issue in the database community for the past two decades. Despite the critical importance, current approaches to semantic interoperability of heterogeneous databases have not been sufficiently effective. We propose a common ontology called semantic conflict resolution ontology (SCROL) that addresses ... View full abstract»

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  • Addressing the problems of Bayesian network classification of video using high-dimensional features

    Publication Year: 2004 , Page(s): 230 - 244
    Cited by:  Papers (9)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (617 KB) |  | HTML iconHTML  

    Bayesian theory is of great interest in pattern classification. We present an approach to aid in the effective application of Bayesian networks in tasks like video classification, where descriptors originate from varied sources and are large in number. In order to extend the application of conventional Bayesian theory to the case of continuous and nonparametric descriptor space, dimension partitio... View full abstract»

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  • Extending the ODMG object model with triggers

    Publication Year: 2004 , Page(s): 170 - 188
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (820 KB) |  | HTML iconHTML  

    We extend the standard for object-oriented databases, ODMG, with reactive features, by proposing a language for specifying triggers and defining its semantics. This extension has several implications, thus we make three different specific contributions. First, the definition of a declarative data manipulation language for ODMG, which is missing in the current version of the standard; such a defini... View full abstract»

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  • Speculative locking protocols to improve performance for distributed database systems

    Publication Year: 2004 , Page(s): 154 - 169
    Cited by:  Papers (12)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (520 KB) |  | HTML iconHTML  

    We have proposed speculative locking (SL) protocols to improve the performance of distributed database systems (DDBSs) by trading extra processing resources. In SL, a transaction releases the lock on the data object whenever it produces corresponding after-image during its execution. By accessing both before and after-images, the waiting transaction carries out speculative executions and retains o... View full abstract»

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  • A compact and accurate model for classification

    Publication Year: 2004 , Page(s): 203 - 215
    Cited by:  Papers (19)  |  Patents (3)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (930 KB) |  | HTML iconHTML  

    We describe and evaluate an information-theoretic algorithm for data-driven induction of classification models based on a minimal subset of available features. The relationship between input (predictive) features and the target (classification) attribute is modeled by a tree-like structure termed an information network (IN). Unlike other decision-tree models, the information network uses the same ... View full abstract»

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  • A Fourier spectrum-based approach to represent decision trees for mining data streams in mobile environments

    Publication Year: 2004 , Page(s): 216 - 229
    Cited by:  Papers (12)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (652 KB) |  | HTML iconHTML  

    We present a novel Fourier analysis-based approach to combine, transmit, and visualize decision trees in a mobile environment. Fourier representation of a decision tree has several interesting properties that are particularly useful for mining data streams from small mobile computing devices connected through limited-bandwidth wireless networks. We present algorithms to compute the Fourier spectru... View full abstract»

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  • Evaluating refined queries in top-k retrieval systems

    Publication Year: 2004 , Page(s): 256 - 270
    Cited by:  Papers (14)  |  Patents (4)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (596 KB) |  | HTML iconHTML  

    In many applications, users specify target values for certain attributes/features without requiring exact matches to these values in return. Instead, the result is typically a ranked list of "top k" objects that best match the specified feature values. User subjectivity is an important aspect of such queries, i.e., which objects are relevant to the user and which are not depends on the perception ... View full abstract»

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  • On using partial supervision for text categorization

    Publication Year: 2004 , Page(s): 245 - 255
    Cited by:  Papers (14)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (514 KB) |  | HTML iconHTML  

    We discuss the merits of building text categorization systems by using supervised clustering techniques. Traditional approaches for document classification on a predefined set of classes are often unable to provide sufficient accuracy because of the difficulty of fitting a manually categorized collection of documents in a given classification model. This is especially the case for heterogeneous co... View full abstract»

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  • IEEE Transactions on Knowledge and Data Engineering - Table of contents

    Publication Year: 2004 , Page(s): 0_1
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    Freely Available from IEEE
  • The IEEE Computer Society's Staff List

    Publication Year: 2004 , Page(s): 0_2
    Save to Project icon | Request Permissions | PDF file iconPDF (226 KB)  
    Freely Available from IEEE
  • TKDE: Information for authors

    Publication Year: 2004 , Page(s): 03
    Save to Project icon | Request Permissions | PDF file iconPDF (226 KB)  
    Freely Available from IEEE
  • IEEE Computer Society Information

    Publication Year: 2004 , Page(s): 0_4
    Save to Project icon | Request Permissions | PDF file iconPDF (294 KB)  
    Freely Available from IEEE

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
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