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Searching for authors named "Periklis Andritsos" – sorted by Relevance.

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  • Recasting Program Reverse Engineering through On-Line Analytical Processing  
  • by Periklis Andritsos, Periklis Andritsos — 2000
  • …Program reverse engineering is the task that helps software engineers understand the architecture of large software systems. We study how the data modeling techniques known as On--Line Analytical Processing (OLAP) can be used to enhance the sophistication and range of reverse engineering tools. This…
  • Cited by 1 (1 self) – Add To MetaCart
  • Clean answers over dirty databases: A probabilistic approach  
  • by Periklis Andritsos — 2006 — In Proc. ICDE
  • …The detection of duplicate tuples, corresponding to the same real-world entity, is an important task in data integration and cleaning. While many techniques exist to identify such tuples, the merging or elimination of duplicates can be a difficult task that relies on ad-hoc and often manual solution…
  • Cited by 27 (2 self) – Add To MetaCart
  • Using Categorical Clustering in Schema Discovery  
  • by Periklis Andritsos, Renée J. Miller — 2003 — In IJCAI Workshop on Information Integration on the Web (IIWeb-03
  • …Most techniques for managing relational schemas assume a given schema that adequately models the data [1].H owever, we know that in practice, the semantics of the data may evolve over time and its schema (the data structures and constraints) is not always updated to reflect these changes [5] . Commo…
  • Cited by 1 (1 self) – Add To MetaCart
  • On Schema Discovery  
  • by Renee J. Miller, Periklis Andritsos — 2003 — IEEE Data Engineering Bulletin
  • …Structured data is distinguished from unstructured data by the presence of a schema describing the logical structure and semantics of the data. The schema is the means through which we understand and query the underlying data. The schema permits the more sophisticated structured queries that are not…
  • Cited by 3 (1 self) – Add To MetaCart
  • Data Clustering Techniques  
  • by Qualifying Oral Examination, Periklis Andritsos
  • …this paper, we present the state of the art in clustering techniques, mainly from the data mining point of view. We discuss the procedures clustering involves and try to investigate advantages and disadvantages of proposed solutions. Finally, we shall present our suggestions for future research in t…
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  • Weigh your preferences!: Towards using hierarchies for building personal libraries  
  • by Hamza Hydri Syed, Hamza H. Syed, Periklis Andritsos, Periklis Andritsos — 2006 — Informatica e Telecomunicazioni, University of Trento
  • …The existence of a vast amount of document collections both on-line or off-line leads to an overwhelming experience when users attempt to query them. This emphasises the need to develop collaborative approaches for acquiring data/knowledge from distributed and semantically heterogeneous sources of k…
  • Cited by 2 (1 self) – Add To MetaCart
  • Reverse Engineering Meets Data Analysis  
  • by Periklis Andritsos, Renée J. Miller, Ren'ee J. Miller — 2001 — In Proceedings of the 9th International Workshop on Program Comprehension (IWPC
  • …We demonstrate how the data management techniques known as On--Line Analytical Processing, or OLAP, can be used to enhance the sophistication and range of software reverse engineering tools. This is the first comprehensive examination of the similarities and differences in these tasks both in how OL…
  • Cited by 2 (1 self) – Add To MetaCart
  • scalable clustering of categorical data  
  • by Periklis Andritsos, Panayiotis Tsaparas, Renée J. Miller, Kenneth C. Sevcik — 2004 — In EDBT
  • …Abstract. Clustering is a problem of great practical importance in numerous applications. The problem of clustering becomes more challenging when the data is categorical, that is, when there is no inherent distance measure between data values. We introduce LIMBO, a scalable hierarchical categorical …
  • Cited by 12 (3 self) – Add To MetaCart
  • Message correlation for conversation reconstruction in service interaction logs  
  • by Hamid R. Motahari Nezhad, Regis Saint-paul, Boualem Benatallah, Fabio Casati, Periklis Andritsos, Hamid R. Motahari Nezhad, Regis Saint-paul, Boualem Benatallah, Fabio Casati, Periklis Andritsos — 2007
  • …The problem of understanding the behavior of business processes and of services is rapidly becoming a priority in medium and large companies. To this end, recently, analysis tools as well as variations of data mining techniques have been applied to process and service execution logs to perform OLAP-…
  • Cited by 1 (1 self) – Add To MetaCart
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