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

Sequential Data Analytics by Means of Seq-SQL Language

Authors

[ 1 ] Instytut Informatyki, Wydział Informatyki, Politechnika Poznańska | [ P ] employee

Year of publication

2015

Chapter type

paper

Publication language

english

Abstract

EN Ubiquitous devices and applications generate data, whose natural feature is order. Most of the commercial software and research prototypes for data analytics allow to analyze set oriented data, neglecting their order. However, by analyzing both data and their order dependencies, one can discover new business knowledge. Few solutions in this field have been proposed so far, and all of them lack a comprehensive approach to organize and process such data in a data warehouse-like manner. In this paper, we contribute an SQL-like query language for analyzing sequential data in an OLAP-like manner, its prototype implementation and performance evaluation.

Pages (from - to)

416 - 431

DOI

10.1007/978-3-319-22849-5_28

URL

https://link.springer.com/chapter/10.1007/978-3-319-22849-5_28

Book

Database and Expert Systems Applications : 26th International Conference, DEXA 2015, Valencia, Spain, September 1-4, 2015 : Proceedings, Part I

Presented on

26th International Conference on Database and Expert Systems Applications, DEXA 2015, 1-4.09.2015, Valencia, Spain

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