gs gs119 Data Mining Basics - Basic Data Mining Tasks, KDD, Issues - Quiz No.2
gs gs119 Data Science Quiz
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Question 1: Which of the following is not a motivating factor for the development of data mining tools?
Data rich but information poor situation
Data tombs
Dependency on domain experts in expert systems
Data cleaning
Question 2: After cleaning and integrating data from heterogeneous sources, the data is stored in _____
Flat files
Database
Data Warehouse
Directories
Question 3: Which of the following characteristic refers to the ability of a data mining system to generate all possible interesting patterns?
Completeness
Optimization
Pruning
Hypothesis
Question 4: Which of the following is a subset of data warehouse focused on a specific functional area?
Flat files
Database
Data mart
Association rules
Question 5: The algorithms which partition the data into pieces, which are further processed in parallel, are known as _____
Parallel and distributed data-intensive mining algorithms
Incremental mining
Spooling
Clustering
Question 6: Which of the following technique is used to avoid the mining of data from scratch due to new data updates?
Parallel and distributed data-intensive mining algorithms
Incremental mining
Dynamic mining
Ad hoc data mining
Question 8: Which of the following statement about data mining query language (DMQL) is not true?
DMQL is based on SQL
DMQL does not allow access to concept hierarchies
DMQL query can specify a condition to be satisfied by the mined data
DMQL query must specify the knowledge type that has to be mined
Question 9: Which of the following statement about knowledge and data discovery management system (KDDMS) is false?
It will include data mining tools and data management tools
It will include data mining tools but not data management tools
It will provide concurrency features
It will provide recovery features
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Data Mining Basics - What Kind of Data can be Mined - Quiz No.1
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