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    DMIN
    2006
    221views Data Mining» more  DMIN 2006»
    Color Image Segmentation Using Pulse-Coupled Neural Network for Locusts Detection
    14 years 25 days ago
    Color Image Segmentation Using Pulse-Coupled Neural Network for Locusts Detection
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    - Pulse-coupled neural network (PCNN) is different from traditional artificial neural networks, which can be applied in many fields, such as image processing. A crucial step in dev...
    Xuemei Xiong, Yiming Wang, Xiaochao Zhang
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    DMIN
    2006
    83views Data Mining» more  DMIN 2006»
    On Novelty Evaluation of Potentially Useful Patterns
    14 years 25 days ago
    On Novelty Evaluation of Potentially Useful Patterns
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    - As is generally accepted, the most important feature that a Knowledge Discovery in Database (KDD) system must possess is, to be able to discover patterns that are "novel&quo...
    Ying Xie, Manmathasivaram Nagarajan, Vijay V. Ragh...
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    DMIN
    2006
    133views Data Mining» more  DMIN 2006»
    A Fuzzy Neural Based Data Classification System
    14 years 25 days ago
    A Fuzzy Neural Based Data Classification System
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    Data mining has emerged to be a very important research area that helps organizations make good use of the tremendous amount of data they have. In data classification tasks, fuzzy ...
    Luong Trung Tuan, Suet Peng Yong
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    DMIN
    2006
    122views Data Mining» more  DMIN 2006»
    Class Selection Avoiding Key-like Property for Better Precise Rules
    14 years 25 days ago
    Class Selection Avoiding Key-like Property for Better Precise Rules
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    When we want to select a class attribute among several choices, we suggest to using a method that is based on the overall correctness of a generating rule set as well as the number...
    Hyontai Sug
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    DMIN
    2006
    134views Data Mining» more  DMIN 2006»
    Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination
    14 years 25 days ago
    Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination
    Download  ect.bell-labs.com
    The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in s...
    Iryna Skrypnyk, Tin Kam Ho
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    DMIN
    2006
    109views Data Mining» more  DMIN 2006»
    Revised Aggregation-tree Used in Metadata Extraction from SVG Images
    14 years 25 days ago
    Revised Aggregation-tree Used in Metadata Extraction from SVG Images
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    Many of the multimedia researchers have focused on the issue of the retrieval of images using indexed image collections. A number of spatial data structures based on Minimum Bound...
    Shuju Bai, Abdus Salam, Ebrahim Khosravi
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    DMIN
    2006
    111views Data Mining» more  DMIN 2006»
    Profiling and Clustering Internet Hosts
    14 years 25 days ago
    Profiling and Clustering Internet Hosts
    Download  www.cis.udel.edu
    Identifying groups of Internet hosts with a similar behavior is very useful for many applications of Internet security control, such as DDoS defense, worm and virus detection, dete...
    Songjie Wei, Jelena Mirkovic, Ezra Kissel
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    DMIN
    2006
    108views Data Mining» more  DMIN 2006»
    Sequential and Parallel Rule Extraction from a Concept Lattice
    14 years 25 days ago
    Sequential and Parallel Rule Extraction from a Concept Lattice
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    This paper presents enhancements to previous algorithms for the sequential extraction of complete non-redundant set of rules from a concept lattice. The aim of these enhancements i...
    Guillermo Tonsmann
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    DMIN
    2006
    122views Data Mining» more  DMIN 2006»
    Cost-Sensitive Analysis in Multiple Time Series Prediction
    14 years 25 days ago
    Cost-Sensitive Analysis in Multiple Time Series Prediction
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    - In this paper we propose a new methodology for Cost-Benefit analysis in a multiple time series prediction problem. The proposed model is evaluated in a real world application bas...
    Chamila Walgampaya, Mehmed M. Kantardzic
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    DMIN
    2006
    113views Data Mining» more  DMIN 2006»
    Back-propagation DEA
    14 years 25 days ago
    Back-propagation DEA
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    Data Envelopment Analysis (DEA) is one of the most widely used methods in the measurement efficiency and productivity of Decision Making Units (DMUs). DEA for a large dataset with...
    Ali Emrouznejad
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