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    PAKDD
    2009
    ACM
    124views Data Mining» more  PAKDD 2009»
    Dynamic Exponential Family Matrix Factorization
    13 years 11 months ago
    Dynamic Exponential Family Matrix Factorization
    Download  hawaii.naist.jp
    Abstract. We propose a new approach to modeling time-varying relational data such as e-mail transactions based on a dynamic extension of matrix factorization. To estimate effectiv...
    Kohei Hayashi, Junichiro Hirayama, Shin Ishii
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    PAKDD
    2009
    ACM
    115views Data Mining» more  PAKDD 2009»
    Data Mining for Intrusion Detection: From Outliers to True Intrusions
    13 years 11 months ago
    Data Mining for Intrusion Detection: From Outliers to True Intrusions
    Download  hal.archives-ouvertes.fr
    Data mining for intrusion detection can be divided into several sub-topics, among which unsupervised clustering has controversial properties. Unsupervised clustering for intrusion...
    Goverdhan Singh, Florent Masseglia, Céline ...
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    PAKDD
    2009
    ACM
    72views Data Mining» more  PAKDD 2009»
    A Multi-resolution Approach for Atypical Behaviour Mining
    13 years 11 months ago
    A Multi-resolution Approach for Atypical Behaviour Mining
    Download  www-sop.inria.fr
    Atypical behaviours are the basis of a valuable knowledge in domains related to security (e.g. fraud detection for credit card [1], cyber security [4] or safety of critical systems...
    Alice Marascu, Florent Masseglia
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    PAKDD
    2009
    ACM
    127views Data Mining» more  PAKDD 2009»
    Clustering Documents Using a Wikipedia-Based Concept Representation
    13 years 11 months ago
    Clustering Documents Using a Wikipedia-Based Concept Representation
    Download  www.cs.waikato.ac.nz
    Abstract. This paper shows how Wikipedia and the semantic knowledge it contains can be exploited for document clustering. We first create a concept-based document representation b...
    Anna Huang, David N. Milne, Eibe Frank, Ian H. Wit...
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    PAKDD
    2009
    ACM
    153views Data Mining» more  PAKDD 2009»
    Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data
    13 years 11 months ago
    Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data
    Download  www.dbs.ifi.lmu.de
    Hans-Peter Kriegel, Peer Kröger, Erich Schube...
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    PAKDD
    2009
    ACM
    133views Data Mining» more  PAKDD 2009»
    On Link Privacy in Randomizing Social Networks
    13 years 11 months ago
    On Link Privacy in Randomizing Social Networks
    Download  webpages.uncc.edu
    Many applications of social networks require relationship anonymity due to the sensitive, stigmatizing, or confidential nature of relationship. Recent work showed that the simple ...
    Xiaowei Ying, Xintao Wu
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    PAKDD
    2009
    ACM
    186views Data Mining» more  PAKDD 2009»
    Pairwise Constrained Clustering for Sparse and High Dimensional Feature Spaces
    13 years 11 months ago
    Pairwise Constrained Clustering for Sparse and High Dimensional Feature Spaces
    Download  pike.psu.edu
    Abstract. Clustering high dimensional data with sparse features is challenging because pairwise distances between data items are not informative in high dimensional space. To addre...
    Su Yan, Hai Wang, Dongwon Lee, C. Lee Giles
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    PAKDD
    2009
    ACM
    135views Data Mining» more  PAKDD 2009»
    On Mining Rating Dependencies in Online Collaborative Rating Networks
    13 years 11 months ago
    On Mining Rating Dependencies in Online Collaborative Rating Networks
    Download  www.cs.sfu.ca
    The trend of social information processing sees e-commerce and social web applications increasingly relying on user-generated content, such as rating, to determine the quality of o...
    Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang
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    PAKDD
    2009
    ACM
    120views Data Mining» more  PAKDD 2009»
    Detecting Link Hijacking by Web Spammers.
    14 years 1 months ago
    Detecting Link Hijacking by Web Spammers.
    Download  www.tkl.iis.u-tokyo.ac.jp
    Abstract. Since current search engines employ link-based ranking algorithms as an important tool to decide a ranking of sites, Web spammers are making a significant effort to man...
    Masaru Kitsuregawa, Masashi Toyoda, Young-joo Chun...
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    PAKDD
    2009
    ACM
    170views Data Mining» more  PAKDD 2009»
    Discovering Periodic-Frequent Patterns in Transactional Databases.
    14 years 1 months ago
    Discovering Periodic-Frequent Patterns in Transactional Databases.
    Download  making.csie.ndhu.edu.tw
    Since mining frequent patterns from transactional databases involves an exponential mining space and generates a huge number of patterns, efficient discovery of user-interest-based...
    Byeong-Soo Jeong, Chowdhury Farhan Ahmed, Syed Kha...
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