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    DMIN
    2008
    176views Data Mining» more  DMIN 2008»
    Multi-Class SVM for Large Data Sets Considering Models of Classes Distribution
    13 years 10 months ago
    Multi-Class SVM for Large Data Sets Considering Models of Classes Distribution
    Download  www.ctrl.cinvestav.mx
    Support Vector Machines (SVM) have gained profound interest amidst the researchers. One of the important issues concerning SVM is with its application to large data sets. It is rec...
    Jair Cervantes, Xiaoou Li, Wen Yu
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    DMIN
    2008
    147views Data Mining» more  DMIN 2008»
    Approximate Computation of Object Distances by Locality-Sensitive Hashing
    13 years 10 months ago
    Approximate Computation of Object Distances by Locality-Sensitive Hashing
    Download  www.cs.umb.edu
    We propose an approximate computation technique for inter-object distances for binary data sets. Our approach is based on the locality sensitive hashing, scales up with the number ...
    Selim Mimaroglu, Dan A. Simovici
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    DMIN
    2008
    190views Data Mining» more  DMIN 2008»
    Optimization of Self-Organizing Maps Ensemble in Prediction
    13 years 10 months ago
    Optimization of Self-Organizing Maps Ensemble in Prediction
    Download  eric.univ-lyon2.fr
    The knowledge discovery process encounters the difficulties to analyze large amount of data. Indeed, some theoretical problems related to high dimensional spaces then appear and de...
    Elie Prudhomme, Stéphane Lallich
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    DMIN
    2008
    152views Data Mining» more  DMIN 2008»
    PCS: An Efficient Clustering Method for High-Dimensional Data
    13 years 10 months ago
    PCS: An Efficient Clustering Method for High-Dimensional Data
    Download  www.cs.uml.edu
    Clustering algorithms play an important role in data analysis and information retrieval. How to obtain a clustering for a large set of highdimensional data suitable for database ap...
    Wei Li 0011, Cindy Chen, Jie Wang
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    DMIN
    2007
    79views Data Mining» more  DMIN 2007»
    The Internet Democracy: A Predictive Model Based on Web Text Mining
    13 years 10 months ago
    The Internet Democracy: A Predictive Model Based on Web Text Mining
    Download  homepage.cs.uri.edu
    Scott Pion, Lutz Hamel
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    DMIN
    2007
    110views Data Mining» more  DMIN 2007»
    Mining for Structural Anomalies in Graph-based Data
    13 years 10 months ago
    Mining for Structural Anomalies in Graph-based Data
    Download  users.csc.tntech.edu
    —In this paper we present graph-based approaches to mining for anomalies in domains where the anomalies consist of unexpected entity/relationship alterations that closely resembl...
    William Eberle, Lawrence B. Holder
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    DMIN
    2007
    203views Data Mining» more  DMIN 2007»
    Evaluation of Feature Selection Techniques for Analysis of Functional MRI and EEG
    13 years 10 months ago
    Evaluation of Feature Selection Techniques for Analysis of Functional MRI and EEG
    Download  icsl.gatech.edu
    — The application of feature selection techniques greatly reduces the computational cost of classifying highdimensional data. Feature selection algorithms of varying performance ...
    Lauren Burrell, Otis Smart, George J. Georgoulas, ...
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    DMIN
    2007
    76views Data Mining» more  DMIN 2007»
    Towards Average Case Analysis of Itemset Mining
    13 years 10 months ago
    Towards Average Case Analysis of Itemset Mining
    Download  mavdisk.mnsu.edu
    —We perform a statistical analysis and describe the asymptotic behavior of the frequency and size distribution of δoccurrent, minimal δ-occurrent, and maximal δ-occurrent item...
    Dan Singer, David J. Haglin, Anna M. Manning
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    DMIN
    2007
    214views Data Mining» more  DMIN 2007»
    A Fast KNN Algorithm Based on Simulated Annealing
    13 years 10 months ago
    A Fast KNN Algorithm Based on Simulated Annealing
    Download  cs.uni-muenster.de
    K-Nearest Neighbor is used broadly in text classification, but it has one deficiency—computational efficiency. In this paper, we propose a heuristic search way to find out the k ...
    Chuanyao Yang, Yuqin Li, Chenghong Zhang, Yunfa Hu
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    DMIN
    2007
    186views Data Mining» more  DMIN 2007»
    Cost-Sensitive Learning vs. Sampling: Which is Best for Handling Unbalanced Classes with Unequal Error Costs?
    13 years 10 months ago
    Cost-Sensitive Learning vs. Sampling: Which is Best for Handling Unbalanced Classes with Unequal Error Costs?
    Download  storm.cis.fordham.edu
    - The classifier built from a data set with a highly skewed class distribution generally predicts the more frequently occurring classes much more often than the infrequently occurr...
    Gary M. Weiss, Kate McCarthy, Bibi Zabar
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