Mining positional data streams

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Standard

Mining positional data streams. / Haase, Jens; Brefeld, Ulf.
New Frontiers in Mining Complex Patterns. Springer Verlag, 2015. p. 102-116.

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Harvard

Haase, J & Brefeld, U 2015, Mining positional data streams. in New Frontiers in Mining Complex Patterns. Springer Verlag, pp. 102-116, 3rd International Workshop on New Frontiers in Mining Complex Patterns - NFMCP 2014, Nancy, France, 19.09.14. https://doi.org/10.1007/978-3-319-17876-9_7

APA

Haase, J., & Brefeld, U. (2015). Mining positional data streams. In New Frontiers in Mining Complex Patterns (pp. 102-116). Springer Verlag. https://doi.org/10.1007/978-3-319-17876-9_7

Vancouver

Haase J, Brefeld U. Mining positional data streams. In New Frontiers in Mining Complex Patterns. Springer Verlag. 2015. p. 102-116 doi: 10.1007/978-3-319-17876-9_7

Bibtex

@inbook{a4f6db1289c04684bd8c28473bb637bf,
title = "Mining positional data streams",
abstract = "We study frequent pattern mining from positional data streams. Existing approaches require discretised data to identify atomic events and are not applicable in our continuous setting. We propose an efficient trajectory-based preprocessing to identify similar movements and a distributed pattern mining algorithm to identify frequent trajectories. We empirically evaluate all parts of the processing pipeline.",
keywords = "Informatics, Pattern Mining, Dynamic Time Warping, Positional Data, Frequent Episode, Event Stream, Business informatics",
author = "Jens Haase and Ulf Brefeld",
year = "2015",
doi = "10.1007/978-3-319-17876-9_7",
language = "English",
isbn = "978-3-319-17875-2",
pages = "102--116",
booktitle = "New Frontiers in Mining Complex Patterns",
publisher = "Springer Verlag",
address = "Germany",
note = "3rd International Workshop on New Frontiers in Mining Complex Patterns - NFMCP 2014, NFMCP 2014 ; Conference date: 19-09-2014 Through 19-09-2014",

}

RIS

TY - CHAP

T1 - Mining positional data streams

AU - Haase, Jens

AU - Brefeld, Ulf

N1 - Conference code: 3

PY - 2015

Y1 - 2015

N2 - We study frequent pattern mining from positional data streams. Existing approaches require discretised data to identify atomic events and are not applicable in our continuous setting. We propose an efficient trajectory-based preprocessing to identify similar movements and a distributed pattern mining algorithm to identify frequent trajectories. We empirically evaluate all parts of the processing pipeline.

AB - We study frequent pattern mining from positional data streams. Existing approaches require discretised data to identify atomic events and are not applicable in our continuous setting. We propose an efficient trajectory-based preprocessing to identify similar movements and a distributed pattern mining algorithm to identify frequent trajectories. We empirically evaluate all parts of the processing pipeline.

KW - Informatics

KW - Pattern Mining

KW - Dynamic Time Warping

KW - Positional Data

KW - Frequent Episode

KW - Event Stream

KW - Business informatics

UR - http://www.scopus.com/inward/record.url?scp=84931056379&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-17876-9_7

DO - 10.1007/978-3-319-17876-9_7

M3 - Article in conference proceedings

AN - SCOPUS:84931056379

SN - 978-3-319-17875-2

SP - 102

EP - 116

BT - New Frontiers in Mining Complex Patterns

PB - Springer Verlag

T2 - 3rd International Workshop on New Frontiers in Mining Complex Patterns - NFMCP 2014

Y2 - 19 September 2014 through 19 September 2014

ER -

Recently viewed

Publications

  1. Media coverage of discourse on adaptation
  2. Effects of maize roots on aggregate stability and enzyme activities in soil
  3. Octanol-Water Partition Coefficient Measurement by a Simple 1H NMR Method
  4. Implementation of a Blended-Learning Course as Part of Faculty Development
  5. Joint Proceedings of Scholarly QALD 2023 and SemREC 2023 co-located with 22nd International Semantic Web Conference ISWC 2023
  6. Masked autoencoder for multiagent trajectories
  7. An introductional lecture on chaotic systems through Lorenz attractor and forced Lotka Volterra equation for interdisciplinary education
  8. Increased auditor independence by external rotation and separating audit and non audit duties?
  9. Pushing the Boundaries
  10. An improved method for the analysis of volatile polyfluorinated alkyl substances in environmental air samples
  11. Efficacy of a Self-Help Web-Based Recovery Training in Improving Sleep in Workers
  12. Where is (im)balance? Necessity and construction of evaluated cut-off points for effort-reward imbalance and overcommitment
  13. Moderators of the ego depletion effect
  14. Exercise of members' rights
  15. Rebound Effects in Methods of Artificial Intelligence
  16. Atlas
  17. Das relationale Apriori Wiens / Das städtische Apriori des Relationalismus
  18. Introduction: Queer Theory after "Marriage Equality"
  19. The productivity effect of temporary agency work
  20. Automatic Assembling of Bearings Including Clearance Measurement
  21. Microstructure and Microhardness of Wire-based Laser Metal Deposited AA5087 using an Ytterbium Fibre Laser
  22. Concept of a cloud state modeling system for lead-acid batteries
  23. Entrepreneurship as Facilitator for Sustainable Development?
  24. Integrated Concept for the Selection of Process-improving and Competence-increasing Methods for the Shopfloor
  25. Leibniz ein Vordenker der Idee des Netzes und des Netzwerkes?
  26. Cybernetics | Kybernetik 2. The Macy-Conferences 1946-1953
  27. Customer accounting with budgets and activity-based costing
  28. Explaining age and gender differences in employment rates
  29. "Instrumentalität"
  30. Enforcement
  31. INSA – Indicator System Sustainable Agriculture
  32. A Matter of Framing: Analyzing Value Communication in Sustainable Business Models
  33. GRAD (Synopsis)
  34. Scattered paddock trees
  35. A multi-component phase-field model for T1 precipitates in Al-Cu-Li alloys