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Multiple-aspect analysis of semantic...

(1998 :)

Multiple-aspect analysis of semantic trajectoriesfirst International Workshop, MASTER 2019, held in conjunction with ECML-PKDD 2019, Wurzburg, Germany, September 16, 2019 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Multiple-aspect analysis of semantic trajectoriesedited by Konstantinos Tserpes, Chiara Renso, Stan Matwin.
其他題名:	first International Workshop, MASTER 2019, held in conjunction with ECML-PKDD 2019, Wurzburg, Germany, September 16, 2019 : proceedings /
其他題名:	MASTER 2019
其他作者:	Tserpes, Konstantinos.
團體作者:
出版者:	Cham :Springer International Publishing :2020.
面頁冊數:	ix, 133 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Data miningCongresses.
電子資源:	https://doi.org/10.1007/978-3-030-38081-6
ISBN:	9783030380816$q(electronic bk.)

Multiple-aspect analysis of semantic trajectoriesfirst International Workshop, MASTER 2019, held in conjunction with ECML-PKDD 2019, Wurzburg, Germany, September 16, 2019 : proceedings /
Multiple-aspect analysis of semantic trajectoriesfirst International Workshop, MASTER 2019, held in conjunction with ECML-PKDD 2019, Wurzburg, Germany, September 16, 2019 : proceedings /[electronic resource] :MASTER 2019edited by Konstantinos Tserpes, Chiara Renso, Stan Matwin. - Cham :Springer International Publishing :2020. - ix, 133 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,118890302-9743 ;. - Lecture notes in computer science ;4891..

Learning from our Movements - The Mobility Data Analytics Era -- Uncovering hidden concepts from AIS data: A network abstraction of maritime traffic for anomaly detection -- Nowcasting Unemployment Rates with Smartphone GPS data -- Online long-term trajectory prediction based on mined route patterns -- EvolvingClusters: Online Discovery of Group Patterns in Enriched Maritime Data -- Prospective Data Model and Distributed Query Processing for Mobile Sensing Data Streams -- Predicting Fishing Effort and Catch Using Semantic Trajectories and Machine Learning -- A Neighborhood-augmented LSTM Model for Taxi-Passenger Demand Prediction -- Multi-Channel Convolutional Neural Networks for Handling Multi-Dimensional Semantic Trajectories and Predicting Future Semantic Locations.

Open access.

This open access book constitutes the refereed post-conference proceedings of the First International Workshop on Multiple-Aspect Analysis of Semantic Trajectories, MASTER 2019, held in conjunction with the 19th European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, in Wurzburg, Germany, in September 2019. The 8 full papers presented were carefully reviewed and selected from 12 submissions. They represent an interesting mix of techniques to solve recurrent as well as new problems in the semantic trajectory domain, such as data representation models, data management systems, machine learning approaches for anomaly detection, and common pathways identification.

ISBN: 9783030380816$q(electronic bk.)

Standard No.: 10.1007/978-3-030-38081-6doiSubjects--Topical Terms:

380776
Data mining
--Congresses.

LC Class. No.: QA76.9.D343 / M37 2019

Dewey Class. No.: 006.312

Multiple-aspect analysis of semantic trajectoriesfirst International Workshop, MASTER 2019, held in conjunction with ECML-PKDD 2019, Wurzburg, Germany, September 16, 2019 : proceedings /
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