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    CIS
    2007
    Springer
    122views Applied Computing» more  CIS 2007»
    Mining with Noise Knowledge: Error Aware Data Mining
    14 years 2 months ago
    Mining with Noise Knowledge: Error Aware Data Mining
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    —Real-world data mining deals with noisy information sources where data collection inaccuracy, device limitations, data transmission and discretization errors, or man-made pertur...
    Xindong Wu
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    AUSDM
    2007
    Springer
    118views Data Mining» more  AUSDM 2007»
    Mining Web Snippets to Answer List Questions
    14 years 2 months ago
    Mining Web Snippets to Answer List Questions
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    This paper presents ListWebQA, a question answering system that is aimed specifically at extracting answers to list questions exclusively from web snippets. Answers are identifi...
    Alejandro Figueroa, Günter Neumann
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    AUSDM
    2007
    Springer
    144views Data Mining» more  AUSDM 2007»
    An Empirical Study of Similarity Search in Stock Data
    14 years 2 months ago
    An Empirical Study of Similarity Search in Stock Data
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    Using certain artificial intelligence techniques, stock data mining has given encouraging results in both trend analysis and similarity search. However, representing stock data ef...
    Lay-Ki Soon, Sang Ho Lee
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    AUSDM
    2007
    Springer
    173views Data Mining» more  AUSDM 2007»
    The Use of Various Data Mining and Feature Selection Methods in the Analysis of a Population Survey Dataset
    14 years 2 months ago
    The Use of Various Data Mining and Feature Selection Methods in the Analysis of a Population Survey Dataset
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    This paper reports the results of feature reduction in the analysis of a population based dataset for which there were no specific target variables. All attributes were assessed a...
    Ellen Pitt, Richi Nayak
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    AUSDM
    2007
    Springer
    145views Data Mining» more  AUSDM 2007»
    Temporal Pattern Matching for the Prediction of Stock Prices
    14 years 2 months ago
    Temporal Pattern Matching for the Prediction of Stock Prices
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    Time series data poses a significant variation to the traditional segmentation techniques of data mining because the observation is derived from multiple instances of the same und...
    Richi Nayak, Paul te Braak
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    AUSDM
    2007
    Springer
    185views Data Mining» more  AUSDM 2007»
    An Approach to Argumentation Context Mining from Dialogue History in an E-Market Scenario
    14 years 2 months ago
    An Approach to Argumentation Context Mining from Dialogue History in an E-Market Scenario
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    Argumentation allows agents to exchange additional information to argue about their beliefs and other mental attitudes during the negotiation process. Utterances and subsequent obs...
    Khandaker Shahidul Islam
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    AUSDM
    2007
    Springer
    222views Data Mining» more  AUSDM 2007»
    CURIO: A Fast Outlier and Outlier Cluster Detection Algorithm for Large Datasets
    14 years 2 months ago
    CURIO: A Fast Outlier and Outlier Cluster Detection Algorithm for Large Datasets
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    Aaron Ceglar, John F. Roddick, David M. W. Powers
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    AUSDM
    2007
    Springer
    131views Data Mining» more  AUSDM 2007»
    A Bottom-Up Projection Based Algorithm for Mining High Utility Itemsets
    14 years 2 months ago
    A Bottom-Up Projection Based Algorithm for Mining High Utility Itemsets
    Download  crpit.com
    Mining High Utility Itemsets from a transaction database is to find itemsests that have utility above a user-specified threshold. This problem is an extension of Frequent Itemset ...
    Alva Erwin, Raj P. Gopalan, N. R. Achuthan
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    AUSDM
    2007
    Springer
    107views Data Mining» more  AUSDM 2007»
    A Discriminant Analysis for Undersampled Data
    14 years 2 months ago
    A Discriminant Analysis for Undersampled Data
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    One of the inherent problems in pattern recognition is the undersampled data problem, also known as the curse of dimensionality reduction. In this paper a new algorithm called pai...
    Matthew Robards, Junbin Gao, Philip Charlton
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    AUSDM
    2007
    Springer
    161views Data Mining» more  AUSDM 2007»
    A Case Study of Failure Mode Analysis with Text Mining Methods
    14 years 2 months ago
    A Case Study of Failure Mode Analysis with Text Mining Methods
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    The maintenance dataset provided by SunWater contains information about failed assets also known as components and their corresponding failure modes. Currently, extraction of this...
    Lin Chen, Richi Nayak
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