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Investigative Data Mining in Fraud Detection
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Tags:
1 , 2 , ACKNOWLEDGEMENTS , Data , Data , Detection , Detection , Fraud , Fraud , Investigative , Investigative , Literature , Mining , Mining , Overview , Problems
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By
Dionigi
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Education
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22 months ago|
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Data Mining 2
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2 , Architecture , Content , Data , Data , Introduction , LANGUAGES , Mining , Mining , Primitives , References , Sources , System , WHA
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By
Belly
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Travel/ Places/ Nature
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20 months ago|
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spatical data mining 20040909
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Tags:
1 , 2 , 20040909 , Agenda , Current , Data , Data , KDD , Mining , Mining , Scientific , Situations , Spatial , Spatical , Viewpoint , Vs , Why
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By
Prudenza
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Education
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22 months ago|
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Assembly Language + Prolog for Huge Data
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Assembly Language Extensions for Prolog boost up the speed of data-mining applications quite significantly, whendealing with huge data. Other innovative algorithms and bit-pattern inference engines, when implemented in Pure Assembly Language can empower Prolog with additional functionality, in ultra-fast speed.
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Tags:
Assembler , Assembly Language , Code , Coding , Data Analysis , Data Mining , Laws of Form , Multiple Form Logic , Optimization , Prolog , Software , Speed , Visual Prolog
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By
gstathis
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Science & Technology
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9 months ago|
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data mining
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Tags:
Co , COUNTING , Data , Discovery , Example , Frequent , Iceb , Introduction , Itemsets , KDD , Knowledge , Mining , Occurrences , Overview
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By
Dionigi
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Education
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22 months ago|
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DHS COPLINK Data Mining 2003
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Tags:
2003 , Arizo , Center , Chen , COPLINK , COPLINK , Data , DHS , Director , ExcellenceArtificial , Hsinchun , Intelligence , Lab , Mining , Ph , University
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By
Danielle
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Education
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21 months ago|
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DmitryMishin
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Tags:
Contents , Data , Data , DmitryMishin , Environmental , Harvesti , Metadata , METEOROLOGY , Mining , Models , Portal , SpaceWeather
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By
Sabatini
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Education
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23 months ago|
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tjea
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Tags:
Algorithms , Basic , Clustering , Concepts , Data , Genetic , KDD , Mining , Motivation , Techniques , Tjea , Whats
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By
Susann
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Education
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22 months ago|
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