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Locality-sensitive hashing for earthquake detection

Kexin Rong, Clara E. Yoon, Karianne J. Bergen, Hashem Elezabi, Peter Bailis, Philip Levis, Gregory C. Beroza
2018 Proceedings of the VLDB Endowment  
Based on the high waveform similarity between reoccurring earthquakes, our application identifies potential earthquakes by searching for similar time series segments via LSH.  ...  As a case study of a data-driven science workflow, we illustrate how domain knowledge can be incorporated into the workload to improve both the efficiency and result quality.  ...  Acknowledgements We thank the many members of the Stanford InfoLab for their valuable feedback on this work.  ... 
doi:10.14778/3236187.3236214 fatcat:26lez7nlj5cc5cwulxwggk5lwm

Earthquake detection through computationally efficient similarity search

C. E. Yoon, O. OReilly, K. J. Bergen, G. C. Beroza
2015 Science Advances  
, then groups similar fingerprints together within a database to facilitate fast, scalable search for similar fingerprint pairs, and finally generates a list of earthquake detections.  ...  Earthquake detection-identification of seismic events in continuous data-is a fundamental operation for observational seismology.  ...  Seismologists are just beginning to exploit data-intensive search technologies to analyze seismograms; one recent application is an earthquake search engine for fast focal mechanism identification that  ... 
doi:10.1126/sciadv.1501057 pmid:26665176 pmcid:PMC4672764 fatcat:o4msorssgbbsllqt2s2lv2mpgi

Event detection from evolution of click-through data

Qiankun Zhao, Tie-Yan Liu, Sourav S. Bhowmick, Wei-Ying Ma
2006 Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '06  
Experiments with real click-through data collected from a commercial web search engine show that the proposed approach produces high quality results.  ...  In this paper, we propose the first approach to detect events from the click-through data, which is the log data of web search engines.  ...  On the other hand, the visitor-centric data is generated as a result of users' browsing activities or query activities (for search engines).  ... 
doi:10.1145/1150402.1150456 dblp:conf/kdd/ZhaoLBM06 fatcat:yb77lkl7gvc53met4xizwgjmhu

Locality-Sensitive Hashing for Earthquake Detection: A Case Study of Scaling Data-Driven Science [article]

Kexin Rong, Clara E. Yoon, Karianne J. Bergen, Hashem Elezabi, Peter Bailis, Philip Levis, Gregory C. Beroza
2018 arXiv   pre-print
Based on the high waveform similarity between reoccurring earthquakes, our application identifies potential earthquakes by searching for similar time series segments via LSH.  ...  As a case study of a data-driven science workflow, we illustrate how domain knowledge can be incorporated into the workload to improve both the efficiency and result quality.  ...  ACKNOWLEDGEMENTS We thank the many members of the Stanford InfoLab for their valuable feedback on this work.  ... 
arXiv:1803.09835v2 fatcat:7yltukd5irbqxb5nberohphyai

Event detection using Twitter and structured semantic query expansion

Heather S. Packer, Sina Samangooei, Jonathon S. Hare, Nicholas Gibbins, Paul H. Lewis
2012 Proceedings of the 1st international workshop on Multimodal crowd sensing - CrowdSens '12  
Twitter is a popular tool for publishing potentially interesting information about people's opinions, experiences and news. Mobile devices allow people to publish tweets during real-time events.  ...  of event detection.  ...  The first author is grateful to EPSRC for funding through a doctoral award.  ... 
doi:10.1145/2390034.2390039 fatcat:vqq66tse2ndn5hm5dzo2nplkni

Online Social Networks Event Detection: A Survey [chapter]

Mário Cordeiro, João Gama
2016 Lecture Notes in Computer Science  
New or unforeseen events need to be identified and tracked on a real-time basis providing accurate results as quick as possible.  ...  This specific problem of event detection becomes even more serious due to the real-time nature of online social networks.  ...  Acknowledgements This work was supported by national funds, through the Portuguese funding agency, Fundação para a Ciência e a Tecnologia (FCT), and by European Commission through the project MAESTRA (  ... 
doi:10.1007/978-3-319-41706-6_1 fatcat:zdoso55jzjbypkye7w3uozcjce

A Survey on Event Detection Models for Text Data Streams

Wafa Zubair AL-Dyani, Farzana Kabir Ahmad, Siti Sakira Kamaruddin
2020 Journal of Computer Science  
Among these phases, event detection phase has a vital rule in the performance of the ED model.  ...  In general, ED model consists of six main phases: Data collection, pre-processing, feature selection, event detection, performance evaluation and result representation.  ...  Acknowledgement Authors would like to thank Universiti Utara Malaysia for their financial support, editors and anonymous reviewers for valuable comments.  ... 
doi:10.3844/jcssp.2020.916.935 fatcat:r66b5g3vvnezhpbs4hymulmtqq

Detecting natural disasters, damage, and incidents in the wild [article]

Ethan Weber, Nuria Marzo, Dim P. Papadopoulos, Aritro Biswas, Agata Lapedriza, Ferda Ofli, Muhammad Imran, Antonio Torralba
2020 arXiv   pre-print
However, no large-scale image datasets for incident detection exists.  ...  Responding to natural disasters, such as earthquakes, floods, and wildfires, is a laborious task performed by on-the-ground emergency responders and analysts.  ...  Acknowledgments This work is supported by the CSAIL-QCRI collaboration project and RTI2018-095232-B-C22 grant from the Spanish Ministry of Science, Innovation and Universities.  ... 
arXiv:2008.09188v1 fatcat:v6bzvop4mfb6fpd5dhrt4beyci

Detecting Events in Online Social Networks: Definitions, Trends and Challenges [chapter]

Nikolaos Panagiotou, Ioannis Katakis, Dimitrios Gunopulos
2016 Lecture Notes in Computer Science  
In this article, we present a wide range of event detection algorithms, architectures and evaluation methodologies.  ...  Event detection is a research area that attracted attention during the last years due to the widespread availability of social media data.  ...  A similar approach is suggested in [34] where search engine queries are utilized instead of social media messages. Medvet et al.  ... 
doi:10.1007/978-3-319-41706-6_2 fatcat:4neqe4dxlvczndld3d2xkqtyxu

Rapid Learning of Earthquake Felt Area and Intensity Distribution with Real-time Search Engine Queries

Hengshu Zhu, Ying Sun, Wenjia Zhao, Fuzhen Zhuang, Baoshan Wang, Hui Xiong
2020 Scientific Reports  
Indeed, this approach paves the way for using real-time search engine queries to efficiently map earthquake felt area in the regions with a relatively large population of search engine users.  ...  Specifically, we provide a very efficient, robust and machine-learning-assisted method for mapping the user-reported ground shaking distribution through the large-scale analysis of real-time search queries  ...  We thank Haitao Wang for the helpful discussion and advice; Jiani Lin for the preliminary experiments; Jingbo Zhou for preprocessing parts of search query data; and the rest members of the Baidu Talent  ... 
doi:10.1038/s41598-020-62114-8 pmid:32214154 pmcid:PMC7096409 fatcat:2wfo4zamhzgkncyglcf6xzram4

Outlier Detection, Spatial [chapter]

Yufeng Kou, Chang-Tien Lu
2017 Encyclopedia of GIS  
time-consuming processes.  ...  In summary, the use of constraints leads to more expressiveness in GIS, but it also implies more processes of a complex nature to handle these constraints.  ...  Acknowledgements This work has been partially funded by the Ministry of Science and Technology of Spain (TIN2015-63502-C3-2-R) and the European Regional Development Fund (ERDF/FEDER).  ... 
doi:10.1007/978-3-319-17885-1_945 fatcat:p5vw3xpawfeh3jjib5qpqyjlo4

Occupation inference through detection and classification of biographical activities

Elena Filatova, John Prager
2012 Data & Knowledge Engineering  
At the same time, clustering people into a smaller number of classes allows the grouping of practitioners of the occupations that share a considerable number of occupationrelated activities.  ...  We use the obtained occupation-related activities as features for a multi-class SVM classifier to identify the occupation of a previously unseen individual.  ...  The JuruXML search engine supports the use of tagged terms in the search queries.  ... 
doi:10.1016/j.datak.2012.04.001 fatcat:6o7aibtsr5f5djo4utrkned2xm

Social networking trends and dynamics detection via a cloud-based framework design

Athena Vakali, Maria Giatsoglou, Stefanos Antaris
2012 Proceedings of the 21st international conference companion on World Wide Web - WWW '12 Companion  
A detailed system architecture model is also proposed, which is largely based on a set of service modules developed within the VENUS-C research project to facilitate the deployment of research applications  ...  Here, we present Cloud4Trends, a framework for collecting and analyzing user generated content through microblogging and blogging applications, both separately and jointly, focused on certain geographical  ...  searching for on Google search engine at the current date.  ... 
doi:10.1145/2187980.2188263 dblp:conf/www/VakaliGA12 fatcat:acvu73g2sjf4rjk4vhyf4guvde

Detection and Resolution of Rumours in Social Media

Arkaitz Zubiaga, Ahmet Aker, Kalina Bontcheva, Maria Liakata, Rob Procter
2018 ACM Computing Surveys  
We provide an overview of research into social media rumours with the ultimate goal of developing a rumour classification system that consists of four components: rumour detection, rumour tracking, rumour  ...  at the time of posting.  ...  It ofers a search engine to look for rumours, as well as an API for data collection. It is manually updated with new stories. -Seriously Rapid Source Review 28 32:26 A. Zubiaga et al.  ... 
doi:10.1145/3161603 fatcat:fl2nsxykofb65iadwizk5sbkru

Building Change Detection Using High Resolution Remotely Sensed Data and GIS

Natalia Sofina, Manfred Ehlers
2016 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
These situations can be common in the case of sudden catastrophes (e.g. earthquakes, landslides or military actions), when there is no time to wait for the perfect conditions to acquire the data.  ...  considered a powerful tool for the detection of destroyed building.  ...  the high time consumption for the search of the nearest neighbors in the training data set.  ... 
doi:10.1109/jstars.2016.2542074 fatcat:i6bgd7zgqzgslgjjyuibla5riu
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