A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Filters
Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks
[article]
2021
arXiv
pre-print
Preserved Fulltext
Third, we propose a streaming social event detection and evolution discovery framework for HINs based on meta-path similarity search, historical information about meta-paths, and heterogeneous DBSCAN clustering ...
Comprehensive experiments on real-world streaming social text data are conducted to compare various social event detection and evolution discovery algorithms. ...
HETEROGENEOUS EVENT MODELING In this section, we define the problem of modeling social events in heterogeneous information network (HIN) and introduce several related concepts, necessary notations and ...
arXiv:2104.00853v1
fatcat:3h6t6zbowradliw3hek6hw4coi
Introduction to the special issue on discovery science
2018
Machine Learning
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.
Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. ...
Specifically, they use temporal networks concepts to analyze the evolution of social relationships and propose strategies to detect changes in the network structure based on node centrality. ...
In the paper "On Analyzing User Preference Dynamics with Temporal Social Networks" by Pereira et al., the authors investigate the interplay between user preferences and social networks over time. ...
doi:10.1007/s10994-018-5749-6
fatcat:aisy73tcirexxnd45d5b34wyy4
Learning Structure and Schemas from Heterogeneous Domains in Networked Systems: A Survey
2010
2010 International Conference on Intelligent Networking and Collaborative 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.
This is essential in order to better organize huge collections as well as to effectively and efficiently retrieve documents in heterogeneous domains in networked system. ...
The survey is organized around the most important application domains, namely, bio-informatics, sensor networks, social networks, P2P systems, automation and control, transportation and privacypreserving ...
This has led to several models of bursts in these streams, i.e., periods of elevated occurrence of events and there are several burst definitions and detection algorithms. ...
doi:10.1109/incos.2010.63
dblp:conf/incos/BibaX10
fatcat:2pbt6ci45fdclopif23djiehpe
A Novel Emerging Topic Identification and Evolution Discovery Method on Time-Evolving and Heterogeneous Online Social Networks
2021
Complexity
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.
This paper proposed a novel early emerging topic detection and its evolution law identification framework based on dynamic community detection method on time-evolving and scalable heterogeneous social ...
Firstly, a time-evolving and scalable complex network denoted as KeyGraph is built up by deeply analyzing the text features of all kinds of data crawled from heterogeneous online social network platforms ...
[39] treated the breaking news as a heterogeneous social data stream and developed how to extract events from the dynamic data stream. Liu et al. ...
doi:10.1155/2021/8859225
doaj:66c1eb9e63284b80953f2fe3507f4ffc
fatcat:dv6xk3hr5zey3ohxoxmwdgx2ga
Tiles: an online algorithm for community discovery in dynamic social networks
2016
Machine Learning
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.
Community discovery has emerged during the last decade as one of the most challenging problems in social network analysis. ...
However, social networks are dynamic realities (e.g. call graphs, online social networks): in such scenarios static community discovery fails to identify a partition of the graph that is semantically consistent ...
and vanishing of social clusters that static community discovery algorithms are unable to detect. ...
doi:10.1007/s10994-016-5582-8
fatcat:qpqijmyft5f2hkdlwbtbbm5ozm
Research Challenges for Data Mining in Science and Engineering
[chapter]
2008
Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
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 2010; you can also visit the original URL.
The file type is application/pdf.
In this paper, we discuss the research challenges in science and engineering, from the data mining perspective, with a focus on the following issues: (1) information network analysis, (2) discovery, usage ...
scale, either being stored in gigantic storage devices or flowing into and out of the system in the form of data streams. ...
as social network analysis, web community discovery, terrorist network mining, computer network analysis, and network intrusion detection. ...
doi:10.1201/9781420085877.pt1
fatcat:ljs2uybdofgkxfpouawfekdaz4
Discovering OLAP dimensions in semi-structured data
2014
Information 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 2017; you can also visit the original URL.
The file type is application/pdf.
We propose to extend the capabilities of OLAP via contentdriven discovery of measures and dimensions in the original dataset. ...
In this work we focus on the challenge of generating, maintaining, and querying such discovered elements of the cube. ...
social network communication. ...
doi:10.1016/j.is.2013.09.002
fatcat:377h5bhyvvfg7j5j6cbgo7xh3a
Evolutionary Network Analysis
2014
ACM Computing Surveys
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 2016; you can also visit the original URL.
The file type is application/pdf.
Evolutionary network analysis has found an increasing interest in the literature because of the importance of different kinds of dynamic social networks, email networks, biological networks, and social ...
Some dynamic networks have a much faster rate of edge arrival and are referred to as network streams or graph streams. ...
The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Laboratory ...
doi:10.1145/2601412
fatcat:hvm37apdbzgnzkgilt2te6gfba
Discovering OLAP dimensions in semi-structured data
2012
Proceedings of the fifteenth international workshop on Data warehousing and OLAP - DOLAP '12
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.
We propose to extend the capabilities of OLAP via contentdriven discovery of measures and dimensions in the original dataset. ...
In this work we focus on the challenge of generating, maintaining, and querying such discovered elements of the cube. ...
social network communication. ...
doi:10.1145/2390045.2390048
dblp:conf/dolap/MansmannRWS12
fatcat:vewta2bz2zahzkapuejgg3tsbq
Data stream mining techniques: a review
2019
TELKOMNIKA (Telecommunication Computing Electronics and Control)
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.
In this paper, we review real time clustering and classification mining techniques for data stream. ...
A plethora of infinite data is generated from the Internet and other information sources. ...
Many studies focus on detecting and studying different events in social networks by using stream data mining techniques. ...
doi:10.12928/telkomnika.v17i2.11752
fatcat:rls2qzcl3vhobmkpycsdwhzplu
Technical challenges and perspectives in batch and stream big data machine learning
2017
International Journal of Engineering & Technology
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.
Hence there is a paradigm shift in the Machine learning with the advent of Big Data. Research works are in evolution to deal with Big Data Batch and stream real time data. ...
Sensors, devices, servers, Internet, Social Networking, Smart phones and Internet of Things are contributing the major sources of data. ...
Few advanced topics in mining like Role discovery, Trustworthiness Analysis, Text Mining and Information networks Integration and OLAP are discussed by the author in case of heterogeneous networks. ...
doi:10.14419/ijet.v7i1.3.9225
fatcat:4t5dbvdfpbfnfn6dsi7vcrsw5e
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.
C D E F G H I J K L M N O P Q R S T U V W X Y Z Velegrakis, Yannis 1538 Goals in Social Media, Information Retrieval and Intelligent Agents Identifying Users in Social Networks with Limited Information ...
195
Comprehensive and Reliable Crowd Assessment Algorithms
219
Entity Resolution with Crowd Errors
627
Identifying Users in Social Networks with Limited Information
García-Soriano, David
137 ...
doi:10.1109/icde.2015.7113260
fatcat:ep7pomkm55f45j33tkpoc5asim
Research on event perception based on geo-tagged social media data
2019
Proceedings of the ICA
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.
Therefore, in the information age, how to effectively observe the event and improve event management ability is an open question worthy of attention. ...
Then, how to detect and trace event, how to analyze event impact and visually express obtained knowledge are discussed respectively. ...
Event detection from Flickr-like multimedia streams Supervised methods and unsupervised methods are all widely adopted in dealing with event detection from Flickr-like social media streams. ...
doi:10.5194/ica-proc-2-157-2019
fatcat:i2vo6okebvfgjl5xuiid235a3m
Geosocial gauge: a system prototype for knowledge discovery from social media
2013
International Journal of Geographical 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 2017; you can also visit the original URL.
The file type is application/pdf.
The remarkable success of online social media sites marks a shift in the way people connect and share information. ...
Furthermore, the wide spectrum of social media data and service types provides a multitude of perspectives on real-world activities and happenings, thus opening new frontiers in geosocial knowledge discovery ...
Duch and Arenas (2005) provide a good overview of techniques for connected community detection in social networks. ...
doi:10.1080/13658816.2013.825724
fatcat:w56o6glxrfabtghclf62mkjnrm
Community Discovery in Dynamic Networks
2018
ACM Computing Surveys
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 2021; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Many researchers have worked on methods that can efficiently unveil substructures in complex networks, giving birth to the field of community discovery. ...
To model the evolution of a system, dynamic networks can be used: nodes and edges are mutable and their presence, or absence, deeply impacts the community structure that composes them. ...
Acknowledgement We thank Jane Carlen for her feedback that helped us correct some errors in the description of some methods. ...
doi:10.1145/3172867
fatcat:x6gcg42j3raklfr2f2y3ou5u44
« Previous
Showing results 1 — 15 out of 9,341 results