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    EDM
    2009
    120views Data Mining» more  EDM 2009»
    Improving Student Question Classification
    13 years 5 months ago
    Improving Student Question Classification
    Download  www.educationaldatamining.org
    Students in introductory programming classes often articulate their questions and information needs incompletely. Consequently, the automatic classification of student questions to...
    Cecily Heiner, Joseph L. Zachary
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    EDM
    2009
    114views Data Mining» more  EDM 2009»
    Edu-mining for Book Recommendation for Pupils
    13 years 5 months ago
    Edu-mining for Book Recommendation for Pupils
    Download  www.educationaldatamining.org
    This paper proposes a novel method for recommending books to pupils based on a framework called Edu-mining. One of the properties of the proposed method is that it uses only loan h...
    Ryo Nagata, Keigo Takeda, Koji Suda, Jun'ichi Kake...
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    DMIN
    2009
    142views Data Mining» more  DMIN 2009»
    A Combinatorial Fusion Method for Feature Construction
    13 years 5 months ago
    A Combinatorial Fusion Method for Feature Construction
    Download  storm.cis.fordham.edu
    - This paper demonstrates how methods borrowed from information fusion can improve the performance of a classifier by constructing (i.e., fusing) new features that are combinations...
    Ye Tian, Gary M. Weiss, D. Frank Hsu, Qiang Ma
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    DMIN
    2009
    121views Data Mining» more  DMIN 2009»
    Data Mining in the Real World: Experiences, Challenges, and Recommendations
    13 years 5 months ago
    Data Mining in the Real World: Experiences, Challenges, and Recommendations
    Download  storm.cis.fordham.edu
    Abstract - Data mining is used regularly in a variety of industries and is continuing to gain in both popularity and acceptance. However, applying data mining methods to complex re...
    Gary M. Weiss
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    DMIN
    2009
    132views Data Mining» more  DMIN 2009»
    Understanding Support Vector Machine Classifications via a Recommender System-Like Approach
    13 years 5 months ago
    Understanding Support Vector Machine Classifications via a Recommender System-Like Approach
    Download  www.cs.carleton.edu
    Support vector machines are a valuable tool for making classifications, but their black-box nature means that they lack the natural explanatory value that many other classifiers po...
    David Barbella, Sami Benzaid, Janara M. Christense...
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    DMIN
    2009
    222views Data Mining» more  DMIN 2009»
    P-Sensitive K-Anonymity for Social Networks
    13 years 5 months ago
    P-Sensitive K-Anonymity for Social Networks
    Download  www.nku.edu
    -- The proliferation of social networks, where individuals share private information, has caused, in the last few years, a growth in the volume of sensitive data being stored in th...
    Roy Ford, Traian Marius Truta, Alina Campan
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    DMIN
    2009
    142views Data Mining» more  DMIN 2009»
    Efficient Record Linkage using a Double Embedding Scheme
    13 years 5 months ago
    Efficient Record Linkage using a Double Embedding Scheme
    Download  www.bibalex.org
    Record linkage is the problem of identifying similar records across different data sources. The similarity between two records is defined based on domain-specific similarity functi...
    Noha Adly
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    DMIN
    2009
    180views Data Mining» more  DMIN 2009»
    APHID: A Practical Architecture for High-Performance, Privacy-Preserving Data Mining
    13 years 5 months ago
    APHID: A Practical Architecture for High-Performance, Privacy-Preserving Data Mining
    Download  thepublicgrid.org
    While the emerging field of privacy preserving data mining (PPDM) will enable many new data mining applications, it suffers from several practical difficulties. PPDM algorithms are...
    Jimmy Secretan, Anna Koufakou, Michael Georgiopoul...
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    DMIN
    2009
    142views Data Mining» more  DMIN 2009»
    Action Selection in Customer Value Optimization: An Approach Based on Covariate-Dependent Markov Decision Processes
    13 years 5 months ago
    Action Selection in Customer Value Optimization: An Approach Based on Covariate-Dependent Markov Decision Processes
    Download  www.hs-stat.com
    Typical methods in CRM marketing include action selection on the basis of Markov Decision Processes with fixed transition probabilities on the one hand, and scoring customers separ...
    Angi Roesch, Harald Schmidbauer
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    DMIN
    2009
    119views Data Mining» more  DMIN 2009»
    Abnormal Process State Detection by Cluster Center Point Monitoring in BWR Nuclear Power Plant
    13 years 5 months ago
    Abnormal Process State Detection by Cluster Center Point Monitoring in BWR Nuclear Power Plant
    Download  research.ics.tkk.fi
    This paper proposes a new method to detect abnormal process state. The method is based on cluster center point monitoring in time and is demonstrated in its application to data fro...
    Jaakko Talonen, Miki Sirola
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