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Analysis of Active Learning for Social Media to Support Crisis Management

Mayuri S. Waghmare, Tarun Yengantiwar
2020 International Journal of Scientific Research in Science Engineering and Technology  
AOMPC is an online learning algorithm that runs on data streams and contains active learning algorithms for actively querying the label of obscure unnamed data.  ...  Therefore, we propose a new active online multi-prototype classifier called AOMPC. It identifies relevant data related to a crisis.  ...  CONCLUSION This paper presents a streaming analysis framework for distinguishing between relevant and irrelevant data items.  ... 
doi:10.32628/ijsrset207476 fatcat:a4hbqu2or5gsrmzz5g3g3g74lq

Abstracting Low-level Event Data for Meaningful Process Analysis

Adrian Rebmann
2021 International Conference on Business Process Management  
Most process mining techniques assume the event data to be on the right level of detail for analysis, i.e. the level of activities.  ...  Specifically, we will focus on three research streams, developing solutions that consider the meaning of events, take the purpose of analyses into account, and address online settings.  ...  The majority of the available process mining techniques still makes the assumption that event data are captured on the level of activities relevant for analysis.  ... 
dblp:conf/bpm/Rebmann21 fatcat:nifhi5nbybgz7ptswm34gkstmy

Understanding Real-Virtual Dynamics of Human Behavior from the Action Stream Perspective

Masao Kakihara
2010 Pacific Asia Conference on Information Systems  
It also proposes a novel method for analyzing action streams by taking advantage of web search log data and Internet survey infrastructures.  ...  To grasp the whole stream of human behavior flowing from real-world intentions to virtual-world activity and back to real-world consequences, we propose the 'action stream' concept.  ...  have been actively utilizing it for analysis of web user behavior.  ... 
dblp:conf/pacis/Kakihara10 fatcat:wzovbudqm5b63kdine3tv2tkxq

Optimization of the Online Teaching System Based on Streaming Media

Kuiqun Wang, Wei Wang
2021 Complexity  
The experimental part is applied to the online teaching activities of a training institution.  ...  Network and related network technology limit the traditional online teaching activities, making teaching activities only limited to asynchronous teaching, limiting the advantages of real-time, interactive  ...  Analysis and Research of the Online Teaching Architecture System Based on Selective Streaming Media In this paper, the top-level design of the system is mainly based on the selective streaming media online  ... 
doi:10.1155/2021/5552168 fatcat:r2yjkyrbh5elrib47gjgppeaee

Online temporal-spatial analysis for detection of critical events in Cyber-Physical Systems

Zhang Fu, Magnus Almgren, Olaf Landsiedel, Marina Papatriantafilou
2014 2014 IEEE International Conference on Big Data (Big Data)  
Motivated by the fact that critical events of CPSs often have temporal-spatial properties, we focus on identifying critical events by an online temporal-spatial analysis on the data stream of messages.  ...  We explicitly model the online detection problem as a single-linkage clustering on a data stream over a sliding-window, where the inherent computational complexity of the detection problem is derived.  ...  We model the temporalspatial analysis for detecting critical events through the problem of single-linkage clustering of a data stream over a sliding-window. 2) We provide G-SLC, a grid-based single linkage  ... 
doi:10.1109/bigdata.2014.7004221 dblp:conf/bigdataconf/FuALP14 fatcat:ejfe2uu52rdeparagon7dyw4ue

Recent trends in streaming data analysis, concept drift and analysis of dynamic data sets

Albert Bifet, Barbara Hammer, Frank-Michael Schleif
2019 The European Symposium on Artificial Neural Networks  
In this tutorial we provide an introduction into the field of streaming data analysis summarizing its major characteristics and highlighting important research directions in the analysis of dynamic data  ...  Today, many data are not any longer static but occur as dynamic data streams with high velocity, variability and volume. This leads to new challenges to be addressed by novel or adapted algorithms.  ...  Acknowledgment BH gratefully acknowledges funding in the frame of the CITEC centre of excellence and the BMBF project ITS ML, grant number 01IS18041A.  ... 
dblp:conf/esann/BifetHS19 fatcat:snqfwzbvobgxzeturtwedbflby

Formative Assessment as an Online Instruction Intervention

Zexuan Chen, Jianli Jiao, Kexin Hu
2021 International Journal of Distance Education Technologies  
Analysis of students' learning records and scores indicated that students engaged themselves actively in all of the online learning activities and had gained high scores in all tasks, quizzes, and tests  ...  Data were collected from the first five weeks of a course that was temporarily converted from blended learning to be fully online in time of school closure.  ...  Data Collection and Analysis Data for the present study came from two sources: students' learning records and questionnaire responses.  ... 
doi:10.4018/ijdet.20210101.oa1 fatcat:3yeta2j2hrda7me7oq4lqle2da

Optimizing Use of Multistream Influenza Sentinel Surveillance Data

Eric H. Y. Lau, Benjamin J. Cowling, Lai-Ming Ho, Gabriel M. Leung
2008 Emerging Infectious Diseases  
Our study demonstrates that simultaneous monitoring of multiple streams of infl uenza surveillance data can improve the accuracy and timeliness of alerts compared with monitoring of aggregate data or of  ...  any single stream alone.  ...  Acknowledgments We gratefully acknowledge the sentinel practitioners, who through their own goodwill, have been providing weekly data to the Hong Kong Department of Health for infectious disease surveillance  ... 
doi:10.3201/eid1407.080060 pmid:18598647 pmcid:PMC2600317 fatcat:t754dlecqzanppju5yolmc46qq

Can You Tell If they're Learning? Using a Pedagogical Framework to Measure Pedagogical Activity

Tim ORiordan, David E. Millard, John Schulz
2015 2015 IEEE 15th International Conference on Advanced Learning Technologies  
The proliferation of Web-based learning objects makes finding and evaluating online resources problematic.  ...  This has value as it categorises discussion in terms of pedagogical activity rather than Web interaction.  ...  We believe Dial-e has importance for the analysis of online discussion in terms of actual focus on learning activity rather than Web-based interaction.  ... 
doi:10.1109/icalt.2015.62 dblp:conf/icalt/ORiordanMS15 fatcat:vgooxjvcwrhnhntw4dulxplyxm

Streaming supercomputing needs workflow-enabled programming-in-the-large [article]

Justin M Wozniak, Jonathan Ozik, Daniel S. Katz, Michael Wilde
2017 arXiv   pre-print
This is a position paper, submitted to the Future Online Analysis Platform Workshop (, which argues that simple data analysis applications are common today, but  ...  future online supercomputing workloads will need to couple multiple advanced technologies (streams, caches, analysis, and simulations) to rapidly deliver scientific results.  ...  conquer the programming task, not just the data analysis.  ... 
arXiv:1702.07425v1 fatcat:obyaqzzq6fgbhfkebowen2e4ee

Online computational ethology based on modern IT infrastructure

Leon B. Larsen, Mathias M. Neerup, John Hallam
2021 Ecological Informatics  
In the study of animal behaviour, annotation and analysis is largely done manually either directly in the field or from recordings.  ...  We propose online analysis as a way to gain more from automating the process, such as making it easier to ensure that equipment is properly configured and calibrated, enabling the recording equipment to  ...  Acknowledgements We want to thank Thor Andreasen for letting us use one of his recording arrays for the experiments, Sara Sofie Thagaard Winther and Odense Zoo for testing our system, Cao Danh Do for manufacturing  ... 
doi:10.1016/j.ecoinf.2021.101290 fatcat:m34rfrauhzfpdpqm3ssbwmcet4

Can Live Streaming Save the Tourism Industry from a Pandemic? A Study of Social Media

Qihang Qiu, Yifan Zuo, Mu Zhang
2021 ISPRS International Journal of Geo-Information  
regulation capabilities in tourism live streaming activities.  ...  Compared with the use of live streaming activities in entertainment, shopping, sport, e-sport, religious, educational, and academic settings, the tourism context has yet to be explored.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi10090595 fatcat:noo7i5jppnhd5pgs5jpwlbd63m

Relational event models for social learning in MOOCs

Duy Vu, Philippa Pattison, Garry Robins
2015 Social Networks  
The empirical value of new extensions is demonstrated through an analysis of social learning in Massive Open Online Courses (MOOCs).  ...  We propose three extensions for the relational event framework to model the co-evolution of multiple network event streams which are increasingly available thanks to the explosive growth of online applications  ...  Large activity data streams generated by different parts of an application or across multiple applications allow us to explore in detail the dynamics of user interactions and behaviors, which in turn can  ... 
doi:10.1016/j.socnet.2015.05.001 fatcat:fzvv5gbf5rdbrnamasjoxk4mk4

Exploring Social Relationships in Text Streams

Ye Wang
2016 EAI Endorsed Transactions on Scalable Information Systems  
of the dynamic property of streams or the inapplicability of traditional store-then-process paradigm.  ...  However, when these continuous texts are aggregated together forming enormous text streams, applying existing data mining approaches will encounter efficiency or usability issues, either due to their overlook  ...  online streaming data was only evaluated at the daily temporal scale.  ... 
doi:10.4108/eai.9-8-2016.151631 fatcat:oacil33o55fpdla722dyanjjoe

Big Data Stream Analytics for Near Real-Time Sentiment Analysis

Otto K. M. Cheng, Raymond Lau
2015 Journal of Computer and Communications  
In the era of big data, huge volumes of data are generated from online social networks, sensor networks, mobile devices, and organizations' enterprise systems.  ...  sentiments embedded in hundreds of millions of online consumer reviews.  ...  The Big Data Stream Analytics Framework An overview of the proposed framework that leverages Big Data Stream Analytics for online Sentiment Analysis (BDSASA) is depicted in Figure 2 .  ... 
doi:10.4236/jcc.2015.35024 fatcat:hibfywzdavd7vo6tiav7xfyopq
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