Depending on the amount of data to process, file generation may take longer.

If it takes too long to generate, you can limit the data by, for example, reducing the range of years.

Chapter

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Title

AISS: an index for non-timestamped set subsequence queries

Authors

[ 1 ] Instytut Informatyki (II), Wydział Informatyki i Zarządzania, Politechnika Poznańska | [ P ] employee

Year of publication

2006

Chapter type

paper

Publication language

english

Abstract

EN In many recent applications of database management systems data may be stored in user defined complex data types (such as sequences). However, efficient querying of such data is not supported by commercially available database management systems and therefore efficient indexing schemes for complex data types need to be developed. In this paper we focus primarily on the indexing of non-timestamped sequences of sets of categorical data, specifically indexing for set subsequence queries. We address both: logical structure and implementation issues of such indexes. Our main contributions are threefold. First, we specify the logical structure of the index and we propose algorithms for set subsequence query execution, which utilize the index structure. Second, we provide the proposition for the implementation of such index, which uses means available in all of the “of the shelf” database management systems. Finally, we experimentally evaluate the performance of the index.

Pages (from - to)

503 - 512

DOI

10.1007/11823728_48

URL

https://link.springer.com/chapter/10.1007/11823728_48

Book

Data Warehousing and Knowledge Discovery : 8th International Conference, DaWaK 2006, Krakow, Poland, September 4-8, 2006 : Proceedings

Presented on

8th International Conference on Data Warehousing and Knowledge Discovery DaWaK 2006, 4-8.09.2006, Kraków, Polska

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