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Knowledge and Data Engineering, IEEE Transactions on

Issue 3 • Date Mar 2004

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Displaying Results 1 - 13 of 13
  • Case generation using rough sets with fuzzy representation

    Publication Year: 2004 , Page(s): 293 - 300
    Cited by:  Papers (41)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1017 KB) |  | HTML iconHTML  

    We propose a rough-fuzzy hybridization scheme for case generation. Fuzzy set theory is used for linguistic representation of patterns, thereby producing a fuzzy granulation of the feature space. Rough set theory is used to obtain dependency rules which model informative regions in the granulated feature space. The fuzzy membership functions corresponding to the informative regions are stored as ca... View full abstract»

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  • Evaluating keyword selection methods for WEBSOM text archives

    Publication Year: 2004 , Page(s): 380 - 383
    Cited by:  Papers (5)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (771 KB) |  | HTML iconHTML  

    The WEBSOM methodology, proven effective for building very large text archives, includes a method that extracts labels for each document cluster assigned to nodes in the map. However, the WEBSOM method needs to retrieve all the words of all the documents associated to each node. Since maps may have more than 100,000 nodes and since the archive may contain up to seven million documents, the WEBSOM ... View full abstract»

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  • Self-tuning of the relationships among rules' components in active databases systems

    Publication Year: 2004 , Page(s): 375 - 379
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (339 KB) |  | HTML iconHTML  

    Active database systems are systems that detect events and trigger actions as a result of this detection. Active capabilities are provided by a set of rules, such that each rule consists of three components (event, condition, and action). A major performance issue in active databases is the issue of relationships among rule components. Current implementations of triggers do not allow flexibility i... View full abstract»

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  • On automated lesson construction from electronic textbooks

    Publication Year: 2004 , Page(s): 317 - 331
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (784 KB) |  | HTML iconHTML  

    An electronic book may be viewed as an application with a multimedia database. We define an electronic textbook as an electronic book that is used in conjunction with instructional resources such as lectures. We propose an electronic textbook data model with topics, topic sources, metalinks (relationships among topics), and instructional modules, which are multimedia presentations possibly capturi... View full abstract»

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  • Incremental, online, and merge mining of partial periodic patterns in time-series databases

    Publication Year: 2004 , Page(s): 332 - 342
    Cited by:  Papers (12)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (896 KB) |  | HTML iconHTML  

    Mining of periodic patterns in time-series databases is an interesting data mining problem. It can be envisioned as a tool for forecasting and prediction of the future behavior of time-series data. Incremental mining refers to the issue of maintaining the discovered patterns over time in the presence of more items being added into the database. Because of the mostly append only nature of updating ... View full abstract»

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  • TEMPOS: a platform for developing temporal applications on top of object DBMS

    Publication Year: 2004 , Page(s): 354 - 374
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1373 KB) |  | HTML iconHTML  

    We present TEMPOS: a set of models and languages supporting the manipulation of temporal data on top of object DBMS. The proposed models exploit object-oriented technology to meet some important, yet traditionally neglected design criteria related to legacy code migration and representation independence. Two complementary ways for accessing temporal data are offered: a query language and a visual ... View full abstract»

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  • WALRUS: a similarity retrieval algorithm for image databases

    Publication Year: 2004 , Page(s): 301 - 316
    Cited by:  Papers (55)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1132 KB) |  | HTML iconHTML  

    Approaches for content-based image querying typically extract a single signature from each image based on color, texture, or shape features. The images returned as the query result are then the ones whose signatures are closest to the signature of the query image. While efficient for simple images, such methods do not work well for complex scenes since they fail to retrieve images that match the q... View full abstract»

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  • EIC editorial

    Publication Year: 2004 , Page(s): 289 - 291
    Save to Project icon | Request Permissions | PDF file iconPDF (312 KB) |  | HTML iconHTML  
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  • Shape understanding: knowledge generation and learning

    Publication Year: 2004 , Page(s): 343 - 353
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (568 KB) |  | HTML iconHTML  

    A method of knowledge generation as part of a shape-understanding method is presented. The proposed method of knowledge generation consists of: learning the description of new a posteriori classes, learning the concept of visual objects, and generation of the visual representation of "inner" objects. The visual concept, as part of the concept of the visual object, is expressed as a set of symbolic... 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
  • IEEE Transactions on Knowledge and Data Engineering

    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
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    Freely Available from IEEE
  • IEEE Computer Society

    Publication Year: 2004 , Page(s): 04
    Save to Project icon | Request Permissions | PDF file iconPDF (286 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.

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