Talk 7: On Data Quality of Big Data

Talk 7: On Data Quality of Big Data

Speaker: Aisyah Mat Jasin

Date: 06/08/2015

Time: 5.25 pm

Venue: Horton D4.15

Presentation Outline

  • Introduction
  • Big data introduction and characteristics
  • Data quality for the knowledge discovery in databases (KDD)
  • Missing data issues
  • Methods in handling the missing data issues
  • Feature selection
  • Conclusion

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Talk 6: Theta Function Approach as Weak Mutually Unbiased Bases

Speaker: Tominiyi Olupitan

Date: 06/08/2015

Time: 5.00pm

Venue: Horton D4.15

Presentation Outline

  • Brief Introduction of Quantum Computing and Quantum Mechanics
  • Why Mutually Unbiased Bases (MUBs) and Weak Mutually Unbiased Bases (WMUBs)
  • The Theta function approach
  • Our Results
  • Conclusion – The Triality
  • Future Work

Talk 5: Semantic Signatures to Detect Obfuscated Malware

Speaker: Anitta Patience Namanya

Date: 23/07/2015

Time: 5.00pm

Venue: Horton D4.15

Presentation Outline

  • Introduction – the world of malware
  • Why a new detection method for malware?
  • My approach to solving the problem
  • Current results and future work

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Talk 4: Partial Ordering of Weak Mutually Unbiased Bases

Speaker: Samiu Oladejo

Date: 14/07/2015

Time: 5.00pm

Venue: Horton D4.15

Presentation Outline

  • Introduction

  • Review

  • Partial Ordering Between G(n) and G(m)

  • G(m)  ≈  D(n)

  • Factorization of Lines in Terms of Prime Factor Lines

  • Partial Ordering in Finite Quantum Systems

  • Embedding of Small Systems into Large System

  • Duality Between Line in G(n) and WMUB in H(n)

  • Conclusion and Future Work

 

Talk3: The Methodology of Analysing Technological Innovation Fashion Waves: A Case of e-Government

Speaker: Daniel Ekong

Date: 25/06/2015

Time: 5.00pm

Venue: Horton D01.25

Presentation Outline

  • Introduction
  • Background
  • Methodology
  • Sample Innovations
  • Fashion Waves
  • e-Government Fashion Wave
  • Conclusion
  • Questions and Observations

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