A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
Distributed Publish/Subscribe Query Processing on the Spatio-Textual Data Stream
[article]
2017
arXiv
pre-print
Preserved Fulltext
Other Versions
However, the explosive growth of data scale and user base has posed challenges to the existing centralized publish/subscribe systems for spatio-textual data streams. ...
Such spatio-textual data stream contains valuable information for millions of users with various interests on different keywords and locations. ...
and Research (A*STAR). ...
arXiv:1612.02564v4
fatcat:dsyogfmk5fg63gqptkpnichpt4
Scaling DBSCAN-like Algorithms for Event Detection Systems in Twitter
[chapter]
2016
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
However, scaling such algorithms to geographically large regions and temporarily long periods present two major shortcomings. ...
DBSCAN-like algorithms constitute a well-known clustering approach to retrospective event detection. ...
In this work, we tackle the scaling of DBSCAN-like event detection algorithms, such as Tweet-SCAN [15, 16] , for large spatio-temporal regions. ...
doi:10.1007/978-3-319-49583-5_27
fatcat:t4kmjlbw4nhltd2ko7hn4giltq
Query Processing Techniques for Big Spatial-Keyword Data
2017
Proceedings of the 2017 ACM International Conference on Management of Data - SIGMOD '17
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
These applications generate large amounts of geo-tagged textual data, i.e., spatialkeyword data. This data needs to be processed and queried at an unprecedented scale. ...
The management of spatialkeyword data at this scale goes beyond the capabilities of centralized systems. ...
This calls for the development of a large-scale spatial-keyword benchmark that includes large datasets and various realistic queries for both batch and streaming environments. ...
doi:10.1145/3035918.3054773
dblp:conf/sigmod/MahmoodA17
fatcat:h444z7zuazayhcjc2syjygz6mu
Spatio-textual similarity joins
2012
Proceedings of the VLDB Endowment
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2013; you can also visit the original URL.
The file type is application/pdf.
Given a collection of objects that carry both spatial and textual information, a spatio-textual similarity join retrieves the pairs of objects that are spatially close and textually similar. ...
A useful task (for friendship recommendation) would be to find pairs of persons that are spatially close and their profiles have a large overlap (i.e., they have common interests). ...
For each of the PPJ, PPJ-R, PPJ-I and PPJ-C algorithms, we compare a grouping-based version against a non-grouping version, using FLICKR, POI-USCA, POI-AU and a clustered synthetic collection of spatio-textual ...
doi:10.14778/2428536.2428537
fatcat:qg2c5frgn5hsjcqreikb5ik73m
SSTD: A Distributed System on Streaming Spatio-Textual Data
2020
Proceedings of the VLDB Endowment
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
The large scale of spatiotextual data streams and huge amounts of queries pose great challenges to the current location-based services, and call for more efficient data management systems. ...
In this paper, we present SSTD (Streaming Spatio-Textual Data), a distributed in-memory system supporting both continuous and snapshot queries with spatial, textual, and temporal constraints over data ...
ACKNOWLEDGEMENTS Gao Cong acknowledges the support by Singtel Cognitive and Artificial Intelligence Lab for Enterprises (SCALE@NTU), which is a collaboration between Singapore Telecommunications Limited ...
dblp:journals/pvldb/ChenCCMA20
fatcat:pg3kdz6lsjgl5ahkrvherzjbfm
Adaptive Processing of Spatial-Keyword Data Over a Distributed Streaming Cluster
[article]
2017
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
The routing units use the Augmented-Grid, a novel structure that is equipped with an efficient search algorithm for distributing the data objects and queries. ...
Extensive experimental evaluation using spatio-textual range queries over real Twitter data indicates that Tornado outperforms the non-spatio-textually aware approaches by up to two orders of magnitude ...
Tornado addresses the following challenges: (1) Scalability with respect to data and query workload: Tornado scales to process a large number of data objects per second against a large number of spatio-textual ...
arXiv:1709.02533v1
fatcat:ivntricqv5fxnof263virksf5a
Temporally relevant parallel top-k spatial keyword search
2022
Journal of Spatial Information Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
We present a parallel spatio-textual index, Pastri, to address the aforementioned issues. Pastri can be updated incrementally over real-time spatio-textual document streams. ...
Our approach retrieves the top-k documents that are most temporally relevant at the time of a query execution. ...
The I 3 index [54] is another spatio-textual index, which is based on a textual partitioning approach similar to that of S2I. ...
doi:10.5311/josis.2022.24.199
fatcat:vgv2gm4hyjdtjns63obj4gqm3u
Efficient Top K Temporal Spatial Keyword Search
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Base on SSG-tree an efficient algorithm is developed to support top-k temporal spatial keyword query. ...
Due to their importance, a large body of work has focused on efficiently computing various spatial keyword queries. ...
In the above applications, a large volume of spatio-textual objects may continuously arrive with high speed. ...
arXiv:1805.02009v1
fatcat:r3wuweovuneiplfu7w7su7qi2a
Region-Based Message Exploration over Spatio-Temporal Data Streams
2019
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Additionally, we propose a region summarization algorithm that finds a subset of representative messages in a cluster to summarize the topics and the spatial attributes of messages in the cluster. ...
Massive amount of spatio-temporal data that contain location and text content are being generated by location-based social media. These spatio-temporal messages cover a wide range of topics. ...
Introduction Massive amount of spatio-temporal data containing location, text, and time information are being generated on an unprecedented scale. ...
doi:10.1609/aaai.v33i01.3301873
fatcat:u2kpkkhuwjccvmhnexassiymgy
An improved Density-Based Approach to Spatio–Textual Clustering on Social Media
2019
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
To overcome this problem, we introduce DBSTexC, a newly defined density-based clustering algorithm using spatio-textual information on social media (e.g., Twitter). ...
INDEX TERMS Density-based clustering, fuzzy clustering, geo-tagged record, point-of-interest (POI), spatio-textual information. ...
For example, algorithms such as K-means [2] and Clustering Large Applications based on Randomized Search (CLARANS) [3] were designed based on a partitioning approach; Gaussian mixture models [4] ...
doi:10.1109/access.2019.2896934
fatcat:impu6u57dvd6nip5u22yt4qzta
Building Hierarchical Spatial Histograms for Exploratory Analysis in Array DBMS
2019
IEICE transactions on information and systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
As big data attracts attention in a variety of fields, research on data exploration for analyzing large-scale scientific data has gained popularity. ...
We propose histogram construction approaches based on a general hierarchical partitioning as well as a more specific one, the l-grid partitioning, for effective and efficient data visualization in scientific ...
by Cooperation of Large-Scale and High-Resolution Numerical Simulations and Data Assimilations". ...
doi:10.1587/transinf.2018dap0020
fatcat:vtytv4mufzhcdgm33liejk27uy
Improved Density-Based Spatio--Textual Clustering on Social Media
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
To overcome this problem, we introduce DBSTexC, a newly defined density-based clustering algorithm using spatio--textual information. ...
When we aim to discover clusters of geo-tagged records relevant to a particular point-of-interest (POI) on social media, examining only one type of input data (e.g., the tweets relevant to a POI) may draw ...
For example, algorithms such as Kmeans [2] and Clustering Large Applications based on Randomized Search (CLARANS) [3] were designed based on a partitioning approach; Gaussian mixture models [4] and ...
arXiv:1806.05522v1
fatcat:dqgoimbt4jgjlcpbv73vvu26di
Clue-based spatio-textual query
2017
Proceedings of the VLDB Endowment
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
The objective is to retrieve k POIs from a POI database with the highest spatio-textual context similarities against the clue. ...
This work has deliberately designed data-quality-tolerant spatio-textual context similarity metric to cope with various data quality problems in both the clue and the POI database. ...
This algorithm can be directly extended to searching for k POIs in DR(q.cid) with the highest spatio-textual context similarities. ...
doi:10.14778/3055540.3055546
fatcat:gwk43dhasre2vjis7bydrloyji
Large-scale Analysis of Event Data
2015
Workshop Grundlagen von Datenbanken
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
clustering. ...
With the availability of numerous sources and the development of sophisticated text analysis and information retrieval techniques, more and more spatio-temporal data are extracted from texts such as news ...
and clustering algorithms for distributed environments. ...
dblp:conf/gvd/HagedornSG15
fatcat:bbywlntcffgz7iyqaj6op7chcu
ICDE conference 2015 detailed author index
2015
2015 IEEE 31st International Conference on Data Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
with Large and Complex Schema [Search] A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Location-Aware Publish/Subscribe Framework for Parameterized Spatio-Textual Subscriptions 723 ChronoStream: Elastic ...
Top-k and
Threshold-Based String Similarity Search
711
A Location-Aware Publish/Subscribe Framework for Parameterized Spatio-Textual
Subscriptions
[Search]
A B C D E F G H I J K L M N O P Q R ...
doi:10.1109/icde.2015.7113260
fatcat:ep7pomkm55f45j33tkpoc5asim
« Previous
Showing results 1 — 15 out of 891 results