Association Rule-2
Quiz by Roseline Vaseehar
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10 questions
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- Q1This data transformation techniques works well when minimum and maximum values for a real-valued attribute are known asdecimal scalinglogarithmic normalizationmin-max normalizationz-score normalization20s
- Q2Dividing the range of a continuous attribute into intervals is calledDiscretizationCharacterizationGenerationConcept Hierarchy20s
- Q3Histogram is the representation of data in terms ofFrequencyTime SeriesWaveletFourier20s
- Q4Select the non-parametric methods in numerosity reductionSmoothingLog-LinearClusteringRegression20s
- Q5The absolute number of transactions supporting X in T is calledSupport CountAll of the aboveConfidenceSupport20s
- Q6The basic idea of the apriori algorithm is to generate________ item sets of a particular size & scans the database.CandidatePrimarySuper keySecondary20s
- Q7The network topology is constrained to beFeed TreeFeed ForwardFeedFeed Backward20s
- Q8Statistical analysis on multiple rules isRCBTCBACPARCMAR20s
- Q9The first phase of A Priori algorithm isItemset GenerationPartitioningPruningCandidate Generation20s
- Q10Frequency of occurrence of an itemsetConfidenceSupport CountSupportNone of the above20s