MetaCart Sign in to MyCiteSeerX

Include Citations | Advanced Search | Help

Disambiguated Search | Include Citations | Advanced Search | Help

Searching for authors named "Christos Tjortjis" – sorted by Relevance.

Try your query at: Scholar | Yahoo! | Ask | Bing | CSB
Help! 5 documents found, showing 1 through 5.
ATOM RSS
  • Clustering Data Retrieved from Java Source Code to Support Software Maintenance: A Case Study  
  • by Dimitris Rousidis, Christos Tjortjis — Proc. IEEE 9th European Conf. Software Maintenance Reengineering (CSMR
  • …Data mining is a technology recently used in support of software maintenance in various contexts. Our works focuses on achieving a high level understanding of Java systems without prior familiarity with these. Our thesis is that system structure and interrelationships, as well as similarities among …
  • Cited by 1 (0 self)Add To MetaCart
  • Expert Maintainers’ Strategies and Needs when Understanding Software: A Qualitative Empirical Study  
  • by Christos Tjortjis, Paul Layzell — 2001 — Proceedings of the IEEE 8th Asia-Pacific Software Engineering Conference (APSEC 2001), IEEE Computer
  • …Accelerating the learning curve of software maintainers working on systems with which they have little familiarity motivated this study. A working hypothesis was that automated methods are needed to provide a fast, rough grasp of a system, to enable practitioners not familiar with it, to commence ma…
  • Cited by 4 (1 self)Add To MetaCart
  • An Approach to Text Mining using Information Extraction  
  • by Haralampos Karanikas, Christos Tjortjis, Babis Theodoulidis — 2000 — Proc. Workshop Knowledge Management Theory Applications (KMTA 00
  • …In this paper we describe our approach to Text Mining by introducing TextMiner. We perform term and event extraction on each document to find features that are likely to have meaning in the domain, and then apply mining on the extracted features labelling each document. The system consists of two ma…
  • Cited by 1 (1 self)Add To MetaCart
  • Towards Healthy Association Rule Mining (HARM): A Fuzzy Quantitative Approach  
  • by Maybin Muyeba, Sulaiman M. Khan, Zarrar Malik, Christos Tjortjis
  • …Abstract. Association Rule Mining (ARM) is a popular data mining technique that has been used to determine customer buying patterns. Although improving performance and efficiency of various ARM algorithms is important, determining Healthy Buying Patterns (HBP) from customer transactions and associat…
  • Cited by 3 (3 self)Add To MetaCart
Help! Showing 1 through 5.
ATOM RSS
Try your query at: Scholar | Yahoo! | Ask | Bing | CSB