By Topic

Knowledge and Data Engineering, IEEE Transactions on

Issue 5 • Date May 2006

Filter Results

Displaying Results 1 - 16 of 16
  • [Front cover]

    Publication Year: 2006 , Page(s): c1
    Save to Project icon | Request Permissions | PDF file iconPDF (138 KB)  
    Freely Available from IEEE
  • [Inside front cover]

    Publication Year: 2006 , Page(s): c2
    Save to Project icon | Request Permissions | PDF file iconPDF (93 KB)  
    Freely Available from IEEE
  • A framework for on-demand classification of evolving data streams

    Publication Year: 2006 , Page(s): 577 - 589
    Cited by:  Papers (19)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1792 KB) |  | HTML iconHTML  

    Current models of the classification problem do not effectively handle bursts of particular classes coming in at different times. In fact, the current model of the classification problem simply concentrates on methods for one-pass classification modeling of very large data sets. Our model for data stream classification views the data stream classification problem from the point of view of a dynami... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Biclustering of expression data with evolutionary computation

    Publication Year: 2006 , Page(s): 590 - 602
    Cited by:  Papers (34)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (3936 KB) |  | HTML iconHTML  

    Microarray techniques are leading to the development of sophisticated algorithms capable of extracting novel and useful knowledge from a biomedical point of view. In this work, we address the biclustering of gene expression data with evolutionary computation. Our approach is based on evolutionary algorithms, which have been proven to have excellent performance on complex problems, and searches for... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Adaptive nonlinear discriminant analysis by regularized minimum squared errors

    Publication Year: 2006 , Page(s): 603 - 612
    Cited by:  Papers (5)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (936 KB) |  | HTML iconHTML  

    Kernelized nonlinear extensions of Fisher's discriminant analysis, discriminant analysis based on generalized singular value decomposition (LDA/GSVD), and discriminant analysis based on the minimum squared error formulation (MSE) have recently been widely utilized for handling undersampled high-dimensional problems and nonlinearly separable data sets. As the data sets are modified from incorporati... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Pattern discovery of fuzzy time series for financial prediction

    Publication Year: 2006 , Page(s): 613 - 625
    Cited by:  Papers (36)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (3440 KB) |  | HTML iconHTML  

    A fuzzy time series data representation method based on the Japanese candlestick theory is proposed and used in assisting financial prediction. The Japanese candlestick theory is an empirical model of investment decision. The theory assumes that the candlestick patterns reflect the psychology of the market, and the investors can make their investment decision based on the identified candlestick pa... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Test-cost sensitive classification on data with missing values

    Publication Year: 2006 , Page(s): 626 - 638
    Cited by:  Papers (6)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2288 KB) |  | HTML iconHTML  

    In the area of cost-sensitive learning, inductive learning algorithms have been extended to handle different types of costs to better represent misclassification errors. Most of the previous works have only focused on how to deal with misclassification costs. In this paper, we address the equally important issue of how to handle the test costs associated with querying the missing values in a test ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Sample-based quality estimation of query results in relational database environments

    Publication Year: 2006 , Page(s): 639 - 650
    Cited by:  Papers (5)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1344 KB) |  | HTML iconHTML  

    The quality of data in relational databases is often uncertain, and the relationship between the quality of the underlying base tables and the set of potential query results, a type of information product (IP), that could be produced from them has not been fully investigated. This paper provides a basis for the systematic analysis of the quality of such IPs. This research uses the relational algeb... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Processing moving queries over moving objects using motion-adaptive indexes

    Publication Year: 2006 , Page(s): 651 - 668
    Cited by:  Papers (17)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (4136 KB) |  | HTML iconHTML  

    This paper describes a motion-adaptive indexing scheme for efficient evaluation of moving continual queries (MCQs) over moving objects. It uses the concept of motion-sensitive bounding boxes (MSBs) to model moving objects and moving queries. These bounding boxes automatically adapt their sizes to the dynamic motion behaviors of individual objects. Instead of indexing frequently changing object pos... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Design and evaluation of a scalable and reliable P2P assisted proxy for on-demand streaming media delivery

    Publication Year: 2006 , Page(s): 669 - 682
    Cited by:  Papers (22)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2704 KB) |  | HTML iconHTML  

    To efficiently deliver streaming media, researchers have developed technical solutions that fall into three categories, each of which has its merits and limitations. Infrastructure-based CDNs with dedicated network bandwidths and hardware supports can provide high-quality streaming services, but at a high cost. Server-based proxies are cost-effective but not scalable due to the limited proxy capac... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Approximate processing of massive continuous quantile queries over high-speed data streams

    Publication Year: 2006 , Page(s): 683 - 698
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2256 KB) |  | HTML iconHTML  

    Quantile computation has many applications including data mining and financial data analysis. It has been shown that an ε-approximate summary can be maintained so that, given a quantile query (φ,ε), the data item at rank φN may be approximately obtained with... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Rights protection for discrete numeric streams

    Publication Year: 2006 , Page(s): 699 - 714
    Cited by:  Papers (9)  |  Patents (4)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2016 KB) |  | HTML iconHTML  

    Today's world of increasingly dynamic environments naturally results in more and more data being available as fast streams. Applications such as stock market analysis, environmental sensing, Web clicks, and intrusion detection are just a few of the examples where valuable data is streamed. Often, streaming information is offered on the basis of a nonexclusive, single-use customer license. One majo... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A fuzzy approach to partitioning continuous attributes for classification

    Publication Year: 2006 , Page(s): 715 - 719
    Cited by:  Papers (14)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1032 KB) |  | HTML iconHTML  

    Classification is an important topic in data mining research. To better handle continuous data, fuzzy sets are used to represent interval events in the domains of continuous attributes, allowing continuous data lying on the interval boundaries to partially belong to multiple intervals. Since the membership functions of fuzzy sets can profoundly affect the performance of the models or rules discove... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • [Advertisement]

    Publication Year: 2006 , Page(s): 720
    Save to Project icon | Request Permissions | PDF file iconPDF (315 KB)  
    Freely Available from IEEE
  • TKDE Information for authors

    Publication Year: 2006 , Page(s): c3
    Save to Project icon | Request Permissions | PDF file iconPDF (93 KB)  
    Freely Available from IEEE
  • [Back cover]

    Publication Year: 2006 , Page(s): c4
    Save to Project icon | Request Permissions | PDF file iconPDF (138 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