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This set of Data Mining and Data Warehouse Multiple Choice Questions & Answers (MCQs) focuses on Data Mining And Warehouse Set 10

Q1 | GA stands for _______________.
  • genetic algorithm
  • gene algorithm.
  • general algorithm.
  • geo algorithm.
Q2 | GA was introduced in the year __________.
  • 1955.
  • 1965.
  • 1975.
  • 1985.
Q3 | Genetic algorithms are search algorithms based on the mechanics of natural_______.
  • systems.
  • genetics.
  • logistics.
  • statistics.
Q4 | GAs were developed in the early _____________.
  • 1970.
  • 1960.
  • 1950.
  • 1940.
Q5 | The RSES system was developed in ___________.
  • poland.
  • italy.
  • england.
  • america.
Q6 | Crossover is used to _______.
  • recombine the population\s genetic material.
  • introduce new genetic structures in the population.
  • to modify the population\s genetic material.
  • all of the above.
Q7 | The mutation operator ______.
  • recombine the population\s genetic material.
  • introduce new genetic structures in the population.
  • to modify the population\s genetic material.
  • all of the above.
Q8 | Which of the following is an operation in genetic algorithm?
  • inversion.
  • dominance.
  • genetic edge recombination.
  • all of the above.
Q9 | . ___________ is a system created for rule induction.
  • rbs.
  • cbs.
  • dbs.
  • lers.
Q10 | NLP stands for _________.
  • non language process.
  • nature level program.
  • natural language page.
  • natural language processing.
Q11 | Web content mining describes the discovery of useful information from the _______contents.
  • text.
  • web.
  • page.
  • level.
Q12 | Research on mining multi-types of data is termed as _______ data.
  • graphics.
  • multimedia.
  • meta.
  • digital.
Q13 | _______ mining is concerned with discovering the model underlying the link structures of the web.
  • data structure.
  • web structure.
  • text structure.
  • image structure.
Q14 | _________ is the way of studying the web link structure.
  • computer network.
  • physical network.
  • social network.
  • logical network.
Q15 | The ________ propose a measure of standing a node based on path counting.
  • open web.
  • close web.
  • link web.
  • hidden web.
Q16 | In web mining, _______ is used to find natural groupings of users, pages, etc.
  • clustering.
  • associations.
  • sequential analysis.
  • classification.
Q17 | In web mining, _________ is used to know the order in which URLs tend to be accessed.
  • clustering.
  • associations.
  • sequential analysis.
  • classification.
Q18 | In web mining, _________ is used to know which URLs tend to be requested together.
  • clustering.
  • associations.
  • sequential analysis.
  • classification.
Q19 | __________ describes the discovery of useful information from the web contents.
  • web content mining.
  • web structure mining.
  • web usage mining.
  • all of the above.
Q20 | _______ is concerned with discovering the model underlying the link structures of the web.
  • web content mining.
  • web structure mining.
  • web usage mining.
  • all of the above.
Q21 | The ___________ engine for a data warehouse supports query-triggered usage of data
  • nntp
  • smtp
  • olap
  • pop
Q22 | ________ displays of data such as maps, charts and other graphical representation allow data to bepresented compactly to the users.
  • hidden
  • visual
  • obscured
  • concealed
Q23 | __________ is a subject-oriented, integrated, time-variant, nonvolatile collection of data in supportof management decisions.
  • data mining.
  • data warehousing.
  • web mining.
  • text mining.
Q24 | The important aspect of the data warehouse environment is that data found within the datawarehouse is___________.
  • subject-oriented.
  • time-variant.
  • integrated.
  • all of the above.
Q25 | _________maps the core warehouse metadata to business concepts, familiar and useful to endusers.
  • application level metadata.
  • user level metadata.
  • enduser level metadata.
  • core level metadata.