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    PAKDD
    2005
    ACM
    114views Data Mining» more  PAKDD 2005»
    Increasing Classification Accuracy by Combining Adaptive Sampling and Convex Pseudo-Data
    13 years 10 months ago
    Increasing Classification Accuracy by Combining Adaptive Sampling and Convex Pseudo-Data
    Download  personal.gscit.monash.edu.au
    The availability of microarray data has enabled several studies on the application of aggregated classifiers for molecular classification. We present a combination of classifier ag...
    Chia Huey Ooi, Madhu Chetty
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    PAKDD
    2005
    ACM
    184views Data Mining» more  PAKDD 2005»
    Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic Analysis
    13 years 10 months ago
    Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic Analysis
    Download  www.cs.cmu.edu
    Mixture models, such as Gaussian Mixture Model, have been widely used in many applications for modeling data. Gaussian mixture model (GMM) assumes that data points are generated fr...
    Luo Si, Rong Jin
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    PAKDD
    2005
    ACM
    180views Data Mining» more  PAKDD 2005»
    Conditional Random Fields for Transmembrane Helix Prediction
    13 years 10 months ago
    Conditional Random Fields for Transmembrane Helix Prediction
    Download  pmg.it.usyd.edu.au
    Abstract. It is estimated that 20% of genes in the human genome encode for integral membrane proteins (IMPs) and some estimates are much higher. IMPs control a broad range of event...
    Lior Lukov, Sanjay Chawla, W. Bret Church
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    PAKDD
    2005
    ACM
    164views Data Mining» more  PAKDD 2005»
    Covariance and PCA for Categorical Variables
    13 years 10 months ago
    Covariance and PCA for Categorical Variables
    Download  hp.vector.co.jp
    Covariances from categorical variables are defined using a regular simplex expression for categories. The method follows the variance definition by Gini, and it gives the covaria...
    Hirotaka Niitsuma, Takashi Okada
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    PAKDD
    2005
    ACM
    161views Data Mining» more  PAKDD 2005»
    Online Algorithms for Mining Inter-stream Associations from Large Sensor Networks
    13 years 10 months ago
    Online Algorithms for Mining Inter-stream Associations from Large Sensor Networks
    Download  www.cs.hku.hk
    We study the problem of mining frequent value sets from a large sensor network. We discuss how sensor stream data could be represented that facilitates efficient online mining and ...
    K. K. Loo, Ivy Tong, Ben Kao
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    PAKDD
    2005
    ACM
    128views Data Mining» more  PAKDD 2005»
    A Two-Phase Algorithm for Fast Discovery of High Utility Itemsets
    13 years 10 months ago
    A Two-Phase Algorithm for Fast Discovery of High Utility Itemsets
    Download  cucis.ece.northwestern.edu
    Traditional association rules mining cannot meet the demands arising from some real applications. By considering the different values of individual items as utilities, utility mini...
    Ying Liu, Wei-keng Liao, Alok N. Choudhary
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    PAKDD
    2005
    ACM
    132views Data Mining» more  PAKDD 2005»
    SETRED: Self-training with Editing
    13 years 10 months ago
    SETRED: Self-training with Editing
    Download  cs.nju.edu.cn
    Self-training is a semi-supervised learning algorithm in which a learner keeps on labeling unlabeled examples and retraining itself on an enlarged labeled training set. Since the s...
    Ming Li, Zhi-Hua Zhou
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    PAKDD
    2005
    ACM
    128views Data Mining» more  PAKDD 2005»
    A Framework for Incorporating Class Priors into Discriminative Classification
    13 years 10 months ago
    A Framework for Incorporating Class Priors into Discriminative Classification
    Download  www.cse.msu.edu
    Abstract. Discriminative and generative methods provide two distinct approaches to machine learning classification. One advantage of generative approaches is that they naturally mo...
    Rong Jin, Yi Liu
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    PAKDD
    2005
    ACM
    103views Data Mining» more  PAKDD 2005»
    Subgroup Discovery Techniques and Applications
    13 years 10 months ago
    Subgroup Discovery Techniques and Applications
    Download  sci2s.ugr.es
    This paper presents the advances in subgroup discovery and the ways to use subgroup discovery to generate actionable knowledge for decision support. Actionable knowledge is explici...
    Nada Lavrac
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    PAKDD
    2005
    ACM
    112views Data Mining» more  PAKDD 2005»
    Approximated Clustering of Distributed High-Dimensional Data
    13 years 10 months ago
    Approximated Clustering of Distributed High-Dimensional Data
    Download  www.dbs.ifi.lmu.de
    In many modern application ranges high-dimensional feature vectors are used to model complex real-world objects. Often these objects reside on different local sites. In this paper,...
    Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...
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