Difference between revisions of "Chatbot Workshop"

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* The nontrivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data” (Fayyad, 1996). - Data mining - https://medium.com/@exastax/the-history-of-data-mining-d2aeb0f587ce
 
* The nontrivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data” (Fayyad, 1996). - Data mining - https://medium.com/@exastax/the-history-of-data-mining-d2aeb0f587ce
 
* https://www.kdnuggets.com/
 
* https://www.kdnuggets.com/
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Why data mining
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* Data explosion
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* Decision making issue
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* Technology issue
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* Knowledge issue
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* Data complexity issue
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* Data dimensionality issue
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* Cost efficiency issue
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* Beer and diaper male purchase habits - http://news.bbc.co.uk/2/hi/uk_news/77622.stm
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* https://www.indiatimes.com/technology/science-and-future/why-baby-diapers-are-related-to-beer-and-how-artificial-intelligence-may-truly-hold-the-answer-347222.html
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* Introducing Amazon Go and the world’s most advanced shopping technology - https://www.youtube.com/watch?v=NrmMk1Myrxc

Revision as of 08:55, 30 October 2018


Talk: Dr Sarita Singh, Info-comm treads: Singapore and Global Landscape

  • Agenda: AI, Bitcoin, Cybersecurity, Datamining, Applications of AI (Machine Learning+Chatbot)
  • Fun fact: the global ICT industry is almost equivalent to the economy of japan the third largest economy in the world
  • Digital transformation is the fourth industrial revolution
  • The fourth industrial revolution (digital transformation) is driven by data (through sensorisation)
  1. mechanisation, water power, steam power
  2. mass produciton, assembly line, electricity
  3. computer and automation
  4. cyber physical systems
  • Data protection and data privacy comes to the forefront

Links! Links! Links!

Objective of security

  • Confidentiality
  • Integrity
  • Authentication
  • Non-repudiation
  • Availability

Why data mining

  • Data explosion
  • Decision making issue
  • Technology issue
  • Knowledge issue
  • Data complexity issue
  • Data dimensionality issue
  • Cost efficiency issue