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class CONOD extends Serializable

This is the modified version of CONOD which can work on any arbitrary RDF data. The original CONOD was only working on DBpedia. By changing the similarity function now it is generic

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Instance Constructors

  1. new CONOD(spark: SparkSession, originalDataRDD: RDD[Triple], config: DistADConfig)

    spark

    the initiated Spark session

    originalDataRDD

    the data

    config

    the config object

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
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  3. final def ==(arg0: Any): Boolean
    Definition Classes
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  4. final def asInstanceOf[T0]: T0
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  5. def clone(): AnyRef
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    protected[lang]
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    @throws( ... ) @native() @HotSpotIntrinsicCandidate()
  6. final def eq(arg0: AnyRef): Boolean
    Definition Classes
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  7. def equals(arg0: Any): Boolean
    Definition Classes
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  8. final def getClass(): Class[_]
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    @native() @HotSpotIntrinsicCandidate()
  9. def hashCode(): Int
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    @native() @HotSpotIntrinsicCandidate()
  10. def iqr(data: Seq[(String, String, Double)], anomalyListLimit: Int): Seq[(String, String, Double)]

    Anomaly Detection method based on Interquartile Range

    Anomaly Detection method based on Interquartile Range

    data

    a given data

    anomalyListLimit

    the min value list size for considering a list for anomaly detection process

    returns

    list of datapoints which are anomalies

  11. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  12. def jSimilarity(TriplesWithNumericLiteral: RDD[Triple], mapSubWithTriples: RDD[(String, Set[(String, String, Double)])]): RDD[Set[(String, String, Double)]]

  13. final def ne(arg0: AnyRef): Boolean
    Definition Classes
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  14. final def notify(): Unit
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    @native() @HotSpotIntrinsicCandidate()
  15. final def notifyAll(): Unit
    Definition Classes
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    @native() @HotSpotIntrinsicCandidate()
  16. def propClustering(triplesWithNumericLiteral: RDD[Triple]): RDD[(String, Set[(String, String, Double)])]

  17. def run(): DataFrame

    The main function

    The main function

    returns

    the dataframe containing all the anomalies

  18. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
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  19. def toString(): String
    Definition Classes
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  20. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
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    @throws( ... )
  21. final def wait(arg0: Long): Unit
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    @throws( ... ) @native()
  22. final def wait(): Unit
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    @throws( ... )

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
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    @throws( classOf[java.lang.Throwable] ) @Deprecated @deprecated
    Deprecated

    (Since version ) see corresponding Javadoc for more information.

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

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