Data Mining

Data Mining Databases

16 Questions Published

Questions

Question 1 Multiple Choice (Single Answer)

Which of the following levels of analysis is a non-linear predictive model that is learnt through training and that resembles biological neural networks in structure?

  1. Decision trees
  2. Genetic algorithm
  3. Artificial neural network
  4. Data visualization
Question 2 Multiple Choice (Single Answer)

____________ is the automation of a learning process and learning is tantamount to the construction of rules based on observation of environmental states and transition.

  1. Statistics
  2. Machine learning
  3. Inductive learning
  4. None of these
Question 3 Multiple Choice (Single Answer)

Which of the following categories of rules permits no exception so that each object of Left Hand Side (LHS) must be an element of Right Hand Side (RHS)?

  1. Strong rule
  2. Probabilistic rule
  3. Exact rule
  4. None of these
Question 4 Multiple Choice (Single Answer)

Which of the following is a data cleansing stage where certain information is removed which is deemed unnecessary and may slow down queries?

  1. Transformation
  2. Preprocessing
  3. Data mining
  4. None of these
Question 5 Multiple Choice (Single Answer)

Which of the following involves grouping data together based on a set of similarities predefined by the analyst before the exercise begins?

  1. Clustering
  2. Sequential discovery
  3. Classification
  4. None of these
Question 6 Multiple Choice (Single Answer)

____________ attempts to find patterns between events that occur in a progression over a period of time.

  1. Clustering
  2. Sequential discovery
  3. Classification
  4. None of these
Question 7 Multiple Choice (Single Answer)

Which of the following is the aggregation of data such as simple roll-ups or complex expressions involving inter-related data?

  1. Drill-Down
  2. Consolidation
  3. Slicing and dicing
  4. None of these
Question 8 Multiple Choice (Single Answer)

________ refers to the ability to look at the database from different viewpoints.

  1. Consolidation
  2. Drill-Down
  3. Slicing and Dicing
  4. None of these
Question 9 Multiple Choice (Single Answer)

____________ function is an operation against the set of records, which returns affinities or patterns that exists among the collection of items.

  1. Sequential pattern
  2. Clustering / segmentation
  3. Association
  4. None of these
Question 10 Multiple Choice (Single Answer)

Which of the following data mining applications finds associations among customer demographic characteristics?

  1. Banking
  2. Marketing
  3. Insurance and health care
  4. Transportation
Question 11 Multiple Choice (Single Answer)

Which of the following characteristics of OLAP means that the system is targeted to deliver most responses to users within about five seconds with the simplest analyses taking no more than one second and very few taking more than 20 seconds?

  1. Fast
  2. Analysis
  3. Shared
  4. Multidimensional
Question 12 Multiple Choice (Single Answer)

Which of the following data mining models is the one that discovers important information hidden in the data?

  1. Verification model
  2. DBTG model
  3. Discovery model
  4. None of these
Question 13 Multiple Choice (Single Answer)

Which of the following involves maintaining up-to-date information in the Page Block Table (PBT)?

  1. Analysis
  2. Multidimensional
  3. Shared
  4. None of these
Question 14 Multiple Choice (Single Answer)

In which of the following are data items grouped according to logical relationships or customer preferences?

  1. Classes
  2. Clusters
  3. Associations
  4. Sequential patterns
Question 15 Multiple Choice (Single Answer)

Which of the following is a simple knowledge representation used to classify a finite number of classes?

  1. Induction
  2. Decision trees
  3. Deduction
  4. None of these
Question 16 Multiple Choice (Single Answer)

Which of the following functions of data mining analyses a collection of records over a period of time to identify trends?

  1. Sequential / temporal patterns
  2. Association
  3. Clustering/segmentation
  4. None of these