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    » Defining the Goals to Optimise Data Mining Performance
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    DMIN
    2008
    158views Data Mining» more  DMIN 2008»
    Mining User Movement Behavior Patterns in a Mobile Service Environment
    13 years 9 months ago
    Mining User Movement Behavior Patterns in a Mobile Service Environment
    Download  myweb.nutn.edu.tw
    Abstract - The rapid advances of wireless and web technologies enable the mobile users to request various kinds of services via mobile devices at anytime and anywhere. To provide t...
    Yen-Ssu Chou, Tzung-Shi Chen
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    FOIKS
    2008
    Springer
    358views Information Technology» more  FOIKS 2008»
    Cost-minimising strategies for data labelling : optimal stopping and active learning
    14 years 4 months ago
    Cost-minimising strategies for data labelling : optimal stopping and active learning
    Download  arxiv.org
    Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
    Christos Dimitrakakis, Christian Savu-Krohn
    posted by olethros
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    DBA
    2006
    182views Database» more  DBA 2006»
    Matrix Apriori: Speeding Up the Search for Frequent Patterns
    13 years 9 months ago
    Matrix Apriori: Speeding Up the Search for Frequent Patterns
    Download  lib.semi.ac.cn
    This work discusses the problem of generating association rules from a set of transactions in a relational database, taking performance and accuracy of found results as the essent...
    Judith Pavón, Sidney Viana, Santiago G&oacu...
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    AAAI
    1996
    159views Intelligent Agents» more  AAAI 1996»
    Learning Models for Multi-Source Integration
    13 years 9 months ago
    Learning Models for Multi-Source Integration
    Download  www.isi.edu
    One issue involved in accessing multiple heterogeneous information sources is how to integrate the retrieved data. SIMS, an information mediator, handles this problem by mapping t...
    Sheila Tejada, Craig A. Knoblock, Steven Minton
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    KDD
    2008
    ACM
    115views Data Mining» more  KDD 2008»
    SPIRAL: efficient and exact model identification for hidden Markov models
    14 years 8 months ago
    SPIRAL: efficient and exact model identification for hidden Markov models
    Download  www.kecl.ntt.co.jp
    Hidden Markov models (HMMs) have received considerable attention in various communities (e.g, speech recognition, neurology and bioinformatic) since many applications that use HMM...
    Yasuhiro Fujiwara, Yasushi Sakurai, Masashi Yamamu...
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