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    SDM
    2004
    SIAM
    212views Data Mining» more  SDM 2004»
    Clustering with Bregman Divergences
    13 years 10 months ago
    Clustering with Bregman Divergences
    Download  jmlr.csail.mit.edu
    A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
    Arindam Banerjee, Srujana Merugu, Inderjit S. Dhil...
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    SDM
    2004
    SIAM
    141views Data Mining» more  SDM 2004»
    Active Mining of Data Streams
    13 years 10 months ago
    Active Mining of Data Streams
    Download  making.csie.ndhu.edu.tw
    Most previously proposed mining methods on data streams make an unrealistic assumption that "labelled" data stream is readily available and can be mined at anytime. Howe...
    Wei Fan, Yi-an Huang, Haixun Wang, Philip S. Yu
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    SDM
    2004
    SIAM
    242views Data Mining» more  SDM 2004»
    Privacy-Preserving Multivariate Statistical Analysis: Linear Regression and Classification
    13 years 10 months ago
    Privacy-Preserving Multivariate Statistical Analysis: Linear Regression and Classification
    Download  www.cis.syr.edu
    Multivariate statistical analysis is an important data analysis technique that has found applications in various areas. In this paper, we study some multivariate statistical analy...
    Wenliang Du, Yunghsiang S. Han, Shigang Chen
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    SDM
    2004
    SIAM
    162views Data Mining» more  SDM 2004»
    Subspace Clustering of High Dimensional Data
    13 years 10 months ago
    Subspace Clustering of High Dimensional Data
    Download  alumni.cs.ucr.edu
    Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
    Carlotta Domeniconi, Dimitris Papadopoulos, Dimitr...
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    IADIS
    2003
    170views Internet Technology» more  IADIS 2003»
    Informatization and E-Business Model Application for Distributed Data Mining Using Mobile Agents
    13 years 10 months ago
    Informatization and E-Business Model Application for Distributed Data Mining Using Mobile Agents
    Download  www.iadis.net
    Distributed data mining (DDM) is the semi-automatic pattern extraction of distributed data sources. The next generation of the data mining studies will be distributed data mining ...
    Ezendu Ifeanyi Ariwa, Mohamed B. Senousy, Mohamed ...
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    IAAI
    2003
    157views Artificial Intelligence» more  IAAI 2003»
    A Cellular Telephone-Based Application for Skin-Grading to Support Cosmetic Sales
    13 years 10 months ago
    A Cellular Telephone-Based Application for Skin-Grading to Support Cosmetic Sales
    Download  www.aaai.org
    We have developed a sales support system for door-todoor sales of cosmetics based on a skin-image grading system called Skin-CRM (Skin Customer Relationship Management). Our Skin-...
    Hironori Hiraishi, Fumio Mizoguchi
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    NLUCS
    2004
    96views Natural Language Processing» more  NLUCS 2004»
    A Text Mining Approach to Tracking Elements of Decision Making: a pilot study
    13 years 10 months ago
    A Text Mining Approach to Tracking Elements of Decision Making: a pilot study
    Download  www.comp.lancs.ac.uk
    Understanding rework, the causes of rework, and the relationship between issues, decisions and the associated actions, is crucial in minimizing the fundamental industrial problems ...
    Caroline Chibelushi, Bernadette Sharp, Andy Salter
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    FIMI
    2003
    108views Data Mining» more  FIMI 2003»
    AFOPT: An Efficient Implementation of Pattern Growth Approach
    13 years 10 months ago
    AFOPT: An Efficient Implementation of Pattern Growth Approach
    Download  research.nii.ac.jp
    Guimei Liu, Hongjun Lu, Jeffrey Xu Yu, Wei Wang 00...
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    FIMI
    2003
    210views Data Mining» more  FIMI 2003»
    COFI-tree Mining: A New Approach to Pattern Growth with Reduced Candidacy Generation
    13 years 10 months ago
    COFI-tree Mining: A New Approach to Pattern Growth with Reduced Candidacy Generation
    Download  sunsite.informatik.rwth-aachen.de
    Existing association rule mining algorithms suffer from many problems when mining massive transactional datasets. Some of these major problems are: (1) the repetitive I/O disk sca...
    Osmar R. Zaïane, Mohammad El-Hajj
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    FIMI
    2003
    84views Data Mining» more  FIMI 2003»
    Detailed Description of an Algorithm for Enumeration of Maximal Frequent Sets with Irredundant Dualization
    13 years 10 months ago
    Detailed Description of an Algorithm for Enumeration of Maximal Frequent Sets with Irredundant Dualization
    Download  sunsite.informatik.rwth-aachen.de
    We describe an implementation of an algorithm for enumerating all maximal frequent sets using irredundant dualization, which is an improved version of that of Gunopulos et al. The...
    Takeaki Uno, Ken Satoh
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