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    JIIS
    2007
    150views more  JIIS 2007»
    Towards a new approach for mining frequent itemsets on data stream
    13 years 11 months ago
    Towards a new approach for mining frequent itemsets on data stream
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    Mining frequent patterns on streaming data is a new challenging problem for the data mining community since data arrives sequentially in the form of continuous rapid streams. In t...
    Chedy Raïssi, Pascal Poncelet, Maguelonne Tei...
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    JIIS
    2006
    73views more  JIIS 2006»
    Building and querying e-catalog networks using P2P and data summarisation techniques
    13 years 11 months ago
    Building and querying e-catalog networks using P2P and data summarisation techniques
    Download  apmd.prism.uvsq.fr
    Hye-Young Paik, Noureddine Mouaddib, Boualem Benat...
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    JIIS
    2006
    100views more  JIIS 2006»
    Spatial associative classification: propositional vs structural approach
    13 years 11 months ago
    Spatial associative classification: propositional vs structural approach
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    Spatial associative classification takes advantage of employing association rules for spatial classification purposes. In this work, we investigate spatial associative classificati...
    Michelangelo Ceci, Annalisa Appice
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    JIIS
    2006
    93views more  JIIS 2006»
    Measuring inconsistency in knowledgebases
    13 years 11 months ago
    Measuring inconsistency in knowledgebases
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    It is well-known that knowledgebases may contain inconsistencies. We provide a measure to quantify the inconsistency of a knowledgebase, thereby allowing for the comparison of the...
    John Grant, Anthony Hunter
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    JIIS
    2006
    147views more  JIIS 2006»
    Mining sequential patterns from data streams: a centroid approach
    13 years 11 months ago
    Mining sequential patterns from data streams: a centroid approach
    Download  www-sop.inria.fr
    In recent years, emerging applications introduced new constraints for data mining methods. These constraints are typical of a new kind of data: the data streams. In data stream pro...
    Alice Marascu, Florent Masseglia
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    JIIS
    2006
    103views more  JIIS 2006»
    Time-focused clustering of trajectories of moving objects
    13 years 11 months ago
    Time-focused clustering of trajectories of moving objects
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    Spatio-temporal, geo-referenced datasets are growing rapidly, and will be more in the near future, due to both technological and social/commercial reasons. From the data mining vie...
    Mirco Nanni, Dino Pedreschi
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    JIIS
    2006
    61views more  JIIS 2006»
    A new approach for combining content-based and collaborative filters
    13 years 11 months ago
    A new approach for combining content-based and collaborative filters
    Download  fife.swufe.edu.cn
    Byeong Man Kim, Qing Li, Chang Seok Park, Si Gwan ...
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    JIIS
    2006
    124views more  JIIS 2006»
    An efficient approach to mining indirect associations
    13 years 11 months ago
    An efficient approach to mining indirect associations
    Download  www.cse.yorku.ca
    Discovering association rules is one of the important tasks in data mining. While most of the existing algorithms are developed for efficient mining of frequent patterns, it has be...
    Qian Wan, Aijun An
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    JIIS
    2006
    113views more  JIIS 2006»
    Spatial ordering and encoding for geographic data mining and visualization
    13 years 11 months ago
    Spatial ordering and encoding for geographic data mining and visualization
    Download  www.geovista.psu.edu
    : Geographic information (e.g., locations, networks, and nearest neighbors) are unique and different from other aspatial attributes (e.g., population, sales, or income). It is a ch...
    Diansheng Guo, Mark Gahegan
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    JIIS
    2006
    56views more  JIIS 2006»
    Mining changing regions from access-constrained snapshots: a cluster-embedded decision tree approach
    13 years 11 months ago
    Mining changing regions from access-constrained snapshots: a cluster-embedded decision tree approach
    Download  www.cs.sfu.ca
    Irene Pekerskaya, Jian Pei, Ke Wang
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