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    KDD
    2006
    ACM
    179views Data Mining» more  KDD 2006»
    Extracting key-substring-group features for text classification
    14 years 5 months ago
    Extracting key-substring-group features for text classification
    Download  www.comp.nus.edu.sg
    In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
    Dell Zhang, Wee Sun Lee
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    KDD
    2006
    ACM
    132views Data Mining» more  KDD 2006»
    Utility-based anonymization using local recoding
    14 years 5 months ago
    Utility-based anonymization using local recoding
    Download  www.cs.sfu.ca
    Privacy becomes a more and more serious concern in applications involving microdata. Recently, efficient anonymization has attracted much research work. Most of the previous metho...
    Jian Xu, Wei Wang 0009, Jian Pei, Xiaoyuan Wang, B...
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    KDD
    2006
    ACM
    112views Data Mining» more  KDD 2006»
    K-means clustering versus validation measures: a data distribution perspective
    14 years 5 months ago
    K-means clustering versus validation measures: a data distribution perspective
    Download  datamining.rutgers.edu
    K-means is a widely used partitional clustering method. While there are considerable research efforts to characterize the key features of K-means clustering, further investigation...
    Hui Xiong, Junjie Wu, Jian Chen
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    KDD
    2006
    ACM
    134views Data Mining» more  KDD 2006»
    Identifying bridging rules between conceptual clusters
    14 years 5 months ago
    Identifying bridging rules between conceptual clusters
    Download  www-staff.it.uts.edu.au
    1 A bridging rule in this paper has its antecedent and action from different conceptual clusters. We first design two algorithms for mining bridging rules between clusters in a dat...
    Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhan...
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    KDD
    2006
    ACM
    183views Data Mining» more  KDD 2006»
    Discovering interesting patterns through user's interactive feedback
    14 years 5 months ago
    Discovering interesting patterns through user's interactive feedback
    Download  sifaka.cs.uiuc.edu
    In this paper, we study the problem of discovering interesting patterns through user's interactive feedback. We assume a set of candidate patterns (i.e., frequent patterns) h...
    Dong Xin, Xuehua Shen, Qiaozhu Mei, Jiawei Han
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    KDD
    2006
    ACM
    172views Data Mining» more  KDD 2006»
    Attack detection in time series for recommender systems
    14 years 5 months ago
    Attack detection in time series for recommender systems
    Download  heracleia.uta.edu
    Recent research has identified significant vulnerabilities in recommender systems. Shilling attacks, in which attackers introduce biased ratings in order to influence future recom...
    Sheng Zhang, Amit Chakrabarti, James Ford, Fillia ...
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    KDD
    2006
    ACM
    109views Data Mining» more  KDD 2006»
    Extracting redundancy-aware top-k patterns
    14 years 5 months ago
    Extracting redundancy-aware top-k patterns
    Download  www.se.cuhk.edu.hk
    Observed in many applications, there is a potential need of extracting a small set of frequent patterns having not only high significance but also low redundancy. The significance...
    Dong Xin, Hong Cheng, Xifeng Yan, Jiawei Han
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    KDD
    2006
    ACM
    160views Data Mining» more  KDD 2006»
    Coherent closed quasi-clique discovery from large dense graph databases
    14 years 5 months ago
    Coherent closed quasi-clique discovery from large dense graph databases
    Download  www.dtc.umn.edu
    Frequent coherent subgraphscan provide valuable knowledgeabout the underlying internal structure of a graph database, and mining frequently occurring coherent subgraphs from large...
    Zhiping Zeng, Jianyong Wang, Lizhu Zhou, George Ka...
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    KDD
    2006
    ACM
    153views Data Mining» more  KDD 2006»
    Semi-supervised time series classification
    14 years 5 months ago
    Semi-supervised time series classification
    Download  www.cs.ucr.edu
    The problem of time series classification has attracted great interest in the last decade. However current research assumes the existence of large amounts of labeled training data...
    Li Wei, Eamonn J. Keogh
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    KDD
    2006
    ACM
    103views Data Mining» more  KDD 2006»
    A large-scale analysis of query logs for assessing personalization opportunities
    14 years 5 months ago
    A large-scale analysis of query logs for assessing personalization opportunities
    Download  omadani.net
    Steve Wedig, Omid Madani
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