Summary: Msc. Information Management

Read the summary and the most important questions on MSc. Information Management

• 1 Business Analytics and Emerging Trends

• 1.2.3 Knowledge graphs

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• For which 3 AI tasks can KG be input?

  1. Simple reasoning
     
  2. Machine Learning
  3. Chatbots

• Which 3 contributions  give KG's to conversational AI?

  1. Heterogeneous sources
     
  2. Generate queries that train ML AI
  3. improve intention finder, by attaching domain specific intentions

• 1.3.1 Process Mining

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• What is the definition of a process?

  Sequence of steps to accomplish a goal leading towards an end

• What is the definition of process mining?

  Extracting knowledge from event data to build a model of the process and compare the mined process to the process description.

• What is the difference between process mining and data mining?

  Process mining aims at discovering processes and data mining at analyzing variables.

• What are the three commonalities between process mining and data mining?

  1. Inductive algorithms
     
  2. overfitting
  3. visualization

• Why do process description not always work? (3 reasons)

  1. No process description present
     
  2. Never been implemented
  3. Not up-to-date

• What value does process mining give?

  Providing insights about process, based on facts

• What are the main ingredients for a business process for process mining?

  1. Case ID
     
  2. Activities
  3. Timestamp
  4. Other

• Why is process mining sometimes called a mirror?

  Process mining reflects what is really happening in the process and this can be sometimes confronting when the real process is different than intended.