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    SDM
    2007
    SIAM
    177views Data Mining» more  SDM 2007»
    Bursty Feature Representation for Clustering Text Streams
    13 years 10 months ago
    Bursty Feature Representation for Clustering Text Streams
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    Text representation plays a crucial role in classical text mining, where the primary focus was on static text. Nevertheless, well-studied static text representations including TFI...
    Qi He, Kuiyu Chang, Ee-Peng Lim, Jun Zhang
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    SDM
    2007
    SIAM
    152views Data Mining» more  SDM 2007»
    HP2PC: Scalable Hierarchically-Distributed Peer-to-Peer Clustering
    13 years 10 months ago
    HP2PC: Scalable Hierarchically-Distributed Peer-to-Peer Clustering
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    In distributed data mining models, adopting a flat node distribution model can affect scalability. To address the problem of modularity, flexibility and scalability, we propose...
    Khaled M. Hammouda, Mohamed S. Kamel
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    SDM
    2007
    SIAM
    104views Data Mining» more  SDM 2007»
    Boosting Optimal Logical Patterns Using Noisy Data
    13 years 10 months ago
    Boosting Optimal Logical Patterns Using Noisy Data
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    We consider the supervised learning of a binary classifier from noisy observations. We use smooth boosting to linearly combine abstaining hypotheses, each of which maps a subcube...
    Noam Goldberg, Chung-chieh Shan
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    SDM
    2007
    SIAM
    109views Data Mining» more  SDM 2007»
    Segmentations with Rearrangements
    13 years 10 months ago
    Segmentations with Rearrangements
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    Sequence segmentation is a central problem in the analysis of sequential and time-series data. In this paper we introduce and we study a novel variation to the segmentation proble...
    Aristides Gionis, Evimaria Terzi
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    SDM
    2007
    SIAM
    140views Data Mining» more  SDM 2007»
    A General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions
    13 years 10 months ago
    A General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions
    Download  www.cs.uiuc.edu
    In recent years, there have been some interesting studies on predictive modeling in data streams. However, most such studies assume relatively balanced and stable data streams but...
    Jing Gao, Wei Fan, Jiawei Han, Philip S. Yu
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    SDM
    2007
    SIAM
    176views Data Mining» more  SDM 2007»
    Adaptive Concept Learning through Clustering and Aggregation of Relational Data
    13 years 10 months ago
    Adaptive Concept Learning through Clustering and Aggregation of Relational Data
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    We introduce a new approach for Clustering and Aggregating Relational Data (CARD). We assume that data is available in a relational form, where we only have information about the ...
    Hichem Frigui, Cheul Hwang
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    SDM
    2007
    SIAM
    121views Data Mining» more  SDM 2007»
    Mining Visual and Textual Data for Constructing a Multi-Modal Thesaurus
    13 years 10 months ago
    Mining Visual and Textual Data for Constructing a Multi-Modal Thesaurus
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    We propose an unsupervised approach to learn associations between continuous-valued attributes from different modalities. These associations are used to construct a multi-modal t...
    Hichem Frigui, Joshua Caudill
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    SDM
    2007
    SIAM
    96views Data Mining» more  SDM 2007»
    Understanding and Utilizing the Hierarchy of Abnormal BGP Events
    13 years 10 months ago
    Understanding and Utilizing the Hierarchy of Abnormal BGP Events
    Download  netsec.cs.uoregon.edu
    Abnormal events, such as security attacks, misconfigurations, or electricity failures, could have severe consequences toward the normal operation of the Border Gateway Protocol (...
    Dejing Dou, Jun Li, Han Qin, Shiwoong Kim, Sheng Z...
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    SDM
    2007
    SIAM
    130views Data Mining» more  SDM 2007»
    Towards Attack-Resilient Geometric Data Perturbation
    13 years 10 months ago
    Towards Attack-Resilient Geometric Data Perturbation
    Download  siam.org
    Data perturbation is a popular technique for privacypreserving data mining. The major challenge of data perturbation is balancing privacy protection and data quality, which are no...
    Keke Chen, Gordon Sun, Ling Liu
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    SDM
    2007
    SIAM
    89views Data Mining» more  SDM 2007»
    Preventing Information Leaks in Email
    13 years 10 months ago
    Preventing Information Leaks in Email
    Download  www.cs.cmu.edu
    The widespread use of email has raised serious privacy concerns. A critical issue is how to prevent email information leaks, i.e., when a message is accidentally addressed to non-...
    Vitor R. Carvalho, William W. Cohen
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