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Personal profile

Research Expertise and Interests

  • Spatial Data Mining
  • Information Retrieval
  • Image Processing
  • Machine Learning
  • Database Management
  • Programming (Python and JavaScript)
  • Data Mining
  • Data Analytics
  • Big Data/Data Analytics

Fingerprint Dive into the research topics where Grace Samson is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 3 Similar Profiles
Data mining Engineering & Materials Science
Information systems Engineering & Materials Science
Computer networks Engineering & Materials Science
Scheduling algorithms Engineering & Materials Science
Clustering algorithms Engineering & Materials Science
Software engineering Engineering & Materials Science
Scheduling Engineering & Materials Science
Functional programming Engineering & Materials Science

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Research Output 2011 2018

  • 9 Article
  • 1 Chapter
  • 1 Conference contribution
  • 1 Conference article

Large Spatial Database Indexing with aX-tree

Samson, G., Usman, M., Showole, A. A., Lou, Z. & Jazza, H., 31 Mar 2018, In : International Journal of Scientific Research in Computer Science, Engineering and Computer Technology. 3, 3, p. 759-773 15 p.

Research output: Contribution to journalArticle


Spatial Clustering in Large Databases Using Packed X-tree

Samson, G. & Lou, Z., May 2018, In : Egyptian Computer Science Journal. 42, 2, p. 68-79 12 p.

Research output: Contribution to journalArticle

Open Access
Trees (mathematics)
Clustering algorithms

Large spatial datasets: Present Challenges, future opportunities

Samson, G., Lu, J. & Xu, Q., 24 Feb 2017, In : ICCIIDT 2016. p. 204-217 14 p.

Research output: Contribution to journalConference article

Open Access
Functional programming
Computational complexity
Big data

Spatial Databases: An overview

Samson, G., Lu, Z., Usman, M. & Xu, Q., Feb 2017, Ontologies and Big Data Considerations for Effective Intelligence. Lu, J. & Xu, Q. (eds.). Hershey PA: IGI Global, p. 111-149 39 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

spatial data

PaX-DBSCAN: A proposed algorithm for improved clustering

Samson, G. & Lu, Z., 2016, In : Studia Ekonomiczne. 296, p. 86-121 36 p.

Research output: Contribution to journalArticle

Open Access
Parallel processing systems
Information retrieval
Parallel algorithms
Clustering algorithms