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    KDD
    2002
    ACM
    182views Data Mining» more  KDD 2002»
    On the need for time series data mining benchmarks: a survey and empirical demonstration
    14 years 8 months ago
    On the need for time series data mining benchmarks: a survey and empirical demonstration
    Download  www.cs.ucr.edu
    In the last decade there has been an explosion of interest in mining time series data. Literally hundreds of papers have introduced new algorithms to index, classify, cluster and s...
    Eamonn J. Keogh, Shruti Kasetty
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    KDD
    2002
    ACM
    109views Data Mining» more  KDD 2002»
    Mining intrusion detection alarms for actionable knowledge
    14 years 8 months ago
    Mining intrusion detection alarms for actionable knowledge
    Download  www.zurich.ibm.com
    In response to attacks against enterprise networks, administrators increasingly deploy intrusion detection systems. These systems monitor hosts, networks, and other resources for ...
    Klaus Julisch, Marc Dacier
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    KDD
    2002
    ACM
    173views Data Mining» more  KDD 2002»
    Predicting rare classes: can boosting make any weak learner strong?
    14 years 8 months ago
    Predicting rare classes: can boosting make any weak learner strong?
    Download  wkd.iis.sinica.edu.tw
    Mahesh V. Joshi, Ramesh C. Agarwal, Vipin Kumar
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    KDD
    2002
    ACM
    169views Data Mining» more  KDD 2002»
    Optimizing search engines using clickthrough data
    14 years 8 months ago
    Optimizing search engines using clickthrough data
    Download  www.cs.cornell.edu
    This paper presents an approach to automatically optimizing the retrieval quality of search engines using clickthrough data. Intuitively, a good information retrieval system shoul...
    Thorsten Joachims
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    KDD
    2002
    ACM
    197views Data Mining» more  KDD 2002»
    SimRank: a measure of structural-context similarity
    14 years 8 months ago
    SimRank: a measure of structural-context similarity
    Download  www-cs-students.stanford.edu
    The problem of measuring "similarity" of objects arises in many applications, and many domain-specific measures have been developed, e.g., matching text across documents...
    Glen Jeh, Jennifer Widom
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    KDD
    2002
    ACM
    110views Data Mining» more  KDD 2002»
    A model for discovering customer value for E-content
    14 years 8 months ago
    A model for discovering customer value for E-content
    Download  www.nmsl.cs.ucsb.edu
    There exists a huge demand for multimedia goods and services in the Internet. Currently available bandwidth speeds can support sale of downloadable content like CDs, e-books, etc....
    Srinivasan Jagannathan, Jayanth Nayak, Kevin C. Al...
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    KDD
    2002
    ACM
    157views Data Mining» more  KDD 2002»
    Transforming data to satisfy privacy constraints
    14 years 8 months ago
    Transforming data to satisfy privacy constraints
    Download  www.lans.ece.utexas.edu
    Data on individuals and entities are being collected widely. These data can contain information that explicitly identifies the individual (e.g., social security number). Data can ...
    Vijay S. Iyengar
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    KDD
    2002
    ACM
    171views Data Mining» more  KDD 2002»
    Mining complex models from arbitrarily large databases in constant time
    14 years 8 months ago
    Mining complex models from arbitrarily large databases in constant time
    Download  www.cs.washington.edu
    In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
    Geoff Hulten, Pedro Domingos
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    KDD
    2002
    ACM
    126views Data Mining» more  KDD 2002»
    Integrating feature and instance selection for text classification
    14 years 8 months ago
    Integrating feature and instance selection for text classification
    Download  www.meretakis.gr
    Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
    Dimitris Fragoudis, Dimitris Meretakis, Spiros Lik...
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    KDD
    2002
    ACM
    148views Data Mining» more  KDD 2002»
    Tumor cell identification using features rules
    14 years 8 months ago
    Tumor cell identification using features rules
    Download  www.comp.nus.edu.sg
    Advances in imaging techniques have led to large repositories of images. There is an increasing demand for automated systems that can analyze complex medical images and extract me...
    Bin Fang, Wynne Hsu, Mong-Li Lee
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