Publication Type
Conference Paper
Version
submittedVersion
Publication Date
8-2001
Abstract
This paper presents a synthetic data generator that outputs timestamped transactional data with embedded temporal patterns controlled by a set of input parameters. In particular, calendar schema, which is determined by a hierarchy of input time granularities, is used as a framework of possible temporal patterns. An example of calendar schema is (year, month, day), which provides a framework for calendar-based temporal patterns of the form -38352 , where each is either an integer or the symbol . For example, is such a pattern, which corresponds to the time intervals consisting of all the 16th days of all months in year 2000. This paper also evaluates the data generator through a series of experiments. The synthetic data generator is intended to provide support for data mining community in evaluating various aspects (especially the temporal aspects and the scalability) of data mining algorithms.
Discipline
Information Security
Research Areas
Cybersecurity
Publication
ACM SIGKDD Workshop on Temporal Data Mining
First Page
1
Last Page
8
Publisher
ACM
City or Country
San Francisco, CA
Citation
LI, Yingjiu; NING, Peng; WANG, X. Sean; and JAJODIA, Sushil.
Generating Market Basket Data with Temporal Information. (2001). ACM SIGKDD Workshop on Temporal Data Mining. 1-8.
Available at: https://ink.library.smu.edu.sg/sis_research/1051
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.18.3042