A Density-Based Approach to the Retrieval of Top-K Spatial Textual Clusters

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

2 Citations (Scopus)
Original languageEnglish
Title of host publicationProceedings of the 25th ACM International on Conference on Information and Knowledge Management
PublisherAssociation for Computing Machinery
Publication date2016
Pages2095-2100
ISBN (Print)978-1-4503-4073-1
DOIs
Publication statusPublished - 2016
Event25th ACM International on Conference on Information and Knowledge Management - Indianapolis, United States
Duration: 24 Oct 201628 Oct 2016

Conference

Conference25th ACM International on Conference on Information and Knowledge Management
CountryUnited States
CityIndianapolis
Period24/10/201628/10/2016

Cite this

Wu, D., & Jensen, C. S. (2016). A Density-Based Approach to the Retrieval of Top-K Spatial Textual Clusters. In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management (pp. 2095-2100). Association for Computing Machinery. https://doi.org/10.1145/2983323.2983648
Wu, Dingming ; Jensen, Christian Søndergaard. / A Density-Based Approach to the Retrieval of Top-K Spatial Textual Clusters. Proceedings of the 25th ACM International on Conference on Information and Knowledge Management. Association for Computing Machinery, 2016. pp. 2095-2100
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title = "A Density-Based Approach to the Retrieval of Top-K Spatial Textual Clusters",
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Wu, D & Jensen, CS 2016, A Density-Based Approach to the Retrieval of Top-K Spatial Textual Clusters. in Proceedings of the 25th ACM International on Conference on Information and Knowledge Management. Association for Computing Machinery, pp. 2095-2100, 25th ACM International on Conference on Information and Knowledge Management, Indianapolis, United States, 24/10/2016. https://doi.org/10.1145/2983323.2983648

A Density-Based Approach to the Retrieval of Top-K Spatial Textual Clusters. / Wu, Dingming; Jensen, Christian Søndergaard.

Proceedings of the 25th ACM International on Conference on Information and Knowledge Management. Association for Computing Machinery, 2016. p. 2095-2100.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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AU - Jensen, Christian Søndergaard

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PY - 2016

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M3 - Article in proceeding

SN - 978-1-4503-4073-1

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BT - Proceedings of the 25th ACM International on Conference on Information and Knowledge Management

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Wu D, Jensen CS. A Density-Based Approach to the Retrieval of Top-K Spatial Textual Clusters. In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management. Association for Computing Machinery. 2016. p. 2095-2100 https://doi.org/10.1145/2983323.2983648