Investigative Data Mining in Fraud Detection
Tags:
ACKNOWLEDGEMENTS , Data , Data , Detection , Detection , Fraud , Fraud , Investigative , Investigative , Literature , Mining , Mining , Overview , Problems
By:
Dionigi
Education
48 months ago
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spatical data mining 20040909
Tags:
Agenda , Current , Data , Data , KDD , Mining , Mining , Scientific , Situations , Spatial , Spatical , Viewpoint , Why
By:
Prudenza
Education
49 months ago
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Data Mining 2
Tags:
Architecture , Content , Data , Data , Introduction , LANGUAGES , Mining , Mining , Primitives , References , Sources , System , WHA
By:
Belly
Travel/ Places/ Nature
47 months ago
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data mining
Tags:
COUNTING , Data , Discovery , Example , Frequent , Iceb , Introduction , Itemsets , KDD , Knowledge , Mining , Occurrences , Overview
By:
Dionigi
Education
48 months ago
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DHS COPLINK Data Mining 2003
Tags:
Arizo , Center , Chen , COPLINK , COPLINK , Data , DHS , Director , ExcellenceArtificial , Hsinchun , Intelligence , Lab , Mining , University
By:
Danielle
Education
47 months ago
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DmitryMishin
Tags:
Contents , Data , Data , DmitryMishin , Environmental , Harvesti , Metadata , METEOROLOGY , Mining , Models , Portal , SpaceWeather
By:
Sabatini
Education
49 months ago
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Assembly Language + Prolog for Huge Data
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.
Tags:
Assembler , Assembly Language , Code , Coding , Data Analysis , Data Mining , Laws of Form , Multiple Form Logic , Optimization , Prolog , Software , Speed , Visual Prolog
By:
gstathis
Science & Technology
36 months ago
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