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
Lesson Observation Data in Learning Analytics Datasets: Observata
[chapter]
2017
Lecture Notes in Computer Science
Preserved Fulltext
The technological environment that supports the learning process tends to be the main data source for Learning Analytics. ...
This paper focuses on how the data extracted from the observations can be integrated with data coming from activity tracking, resulting in a multimodal dataset. ...
Conclusions and Future Work In this paper, we have discussed the importance of observational data inclusion into MMLA dataset. ...
doi:10.1007/978-3-319-66610-5_50
fatcat:kjtjskimevaovdiys7ctg7vdyq
Real World Applications of Machine Learning Techniques over Large Mobile Subscriber Datasets
[article]
2015
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.
However, due to the sheer data volume, variety, velocity and veracity of mobile subscriber datasets, sophisticated data analytics techniques and frameworks are necessary to derive actionable insights in ...
service personalization and targeted promotions to a distributed Big Data Analytics platform, capable of performing large scale machine learning and data mining to deliver real time service personalization ...
into a scalable big data analytics platform, enabling large scale machine learning applications. ...
arXiv:1502.02215v1
fatcat:zgjpne4cu5hn7pecrgvmq437bi
Images of the arXiv: Reconfiguring large scientific image datasets
2021
Journal of Cultural Analytics
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.
We suggest that such methods allow us different entry points into large scientific image datasets and that they initiate a new set of questions about how scientific representation might be operating at ...
In this article, we suggest ways -including algorithms drawn from machine learning that facilitate visually 'slicing' through the image data and metadata -for exploring large datasets of statistical scientific ...
From this, we propose that the ML and deep learning techniques we use func tion to observe a transversal plane in the image arXiv dataset. ...
doi:10.22148/001c.21374
fatcat:vhp3c5eicrhpxn5p6ltxcxyw2q
Dataset Reduction Techniques to Speed Up SVD Analyses on Big Geo-Datasets
2019
ISPRS International Journal of Geo-Information
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.
For instance, it is used in dimensionality reduction and as a support operator for various analytical tasks applicable to spatio-temporal data. ...
This article examines several such techniques in relation to the inherent scale of the structure within the data. ...
Then, the lessons learned are verified using real-world datasets. ...
doi:10.3390/ijgi8020055
fatcat:h3pgorj4qrdfdcgcmbrnnce2mi
QDataset: Quantum Datasets for Machine Learning
[article]
2021
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 2021; you can also visit the original URL.
The file type is application/pdf.
The datasets are structured to provide a wealth of information to enable machine learning practitioners to use the QDataSet to solve problems in applied quantum computation, such as quantum control, quantum ...
The availability of large-scale datasets on which to train, benchmark and test algorithms has been central to the rapid development of machine learning as a discipline and its maturity as a research discipline ...
is to classify data into discrete categories. ...
arXiv:2108.06661v1
fatcat:ig6eijrobrgqjgsqcn7bcqpgua
Using Conversation Analysis in Data-Driven Aviation Training with Large-Scale Qualitative Datasets
2017
Journal of Aviation/Aerospace Education & Research
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.
This includes new technologies such as mobile learning as well as new ways of collecting and managing training data. ...
The purpose of the study is to show how the CARM frameworktailored to large-scale, long-duration interactionsmay be applied to the recordings to create interactive training targeting two goals: (a) flight ...
Acknowledgements We are grateful to the editors and reviewers for their valuable comments. Thanks to those who freely shared their training flights, including Matt Wells, Rodney Hoover, John Kiger, ...
doi:10.15394/jaaer.2017.1706
fatcat:7wnyt4rugvfknmet756eds7rcm
Stagnated Liberalization, Long‐term Convergence, and Index Methodology: Three Lessons from the CITRIX Citizenship Policy Dataset
2021
Global Policy
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.
The main idea of this approach is to use statistical dimensionality tests to validate deductively specified additive concept structures. This is the first lesson we can learn from CITRIX. ...
While explaining the construction of the dataset, I advance a synthetic approach to index methodology. ...
Acknowledgements I would like to thank Giacomo Solano and Marc Helbling for inviting me to contribute to this special section. ...
doi:10.1111/1758-5899.12903
fatcat:ndabigye2nfwpojw7yegmbhqke
Interactive Exploration of Implicit and Explicit Relations in Faceted Datasets
2013
IEEE Transactions on Visualization and Computer Graphics
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.
It was mostly from him that I learned how to be a good researcher and how to explore the world with novel approaches and critical thinking. ...
My greatest thanks must go to my supervisor, Ravin Balakrishnan. He was the first to bring me into the academic world and open my eyes. ...
It has been a challenging adventure, and I was fortune to receive support from many people. They have deeply inspired my minds and shaped my thinking. I would like to thank all of them, ...
doi:10.1109/tvcg.2013.167
pmid:24051774
fatcat:43xwwk6lezbqzk2bf65ivvkp5u
Accessible data curation and analytics for international-scale citizen science datasets
2021
Scientific Data
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.
We present ExeTera, a Python-based open source software package designed to provide Pandas-like data analytics on datasets that approach terabyte scales. ...
The size of the dataset means that it can no longer be readily processed using standard Python-based data analytics software such as Pandas on commodity hardware. ...
Finally, this dataset is novel in terms of its scale and deployment for epidemiological analysis, and the schema has been altered to better capture data based on lessons learned during early phases of ...
doi:10.1038/s41597-021-01071-x
pmid:34811392
pmcid:PMC8608807
fatcat:bh7tyo2dafgzpkwy4wwnh3es4e
Design Implications of Digital Social Innovation: A Playful Approach to Analyse Cases Study Dataset
[chapter]
2014
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 2020; you can also visit the original URL.
The file type is application/pdf.
We conclude by discussing the lesson learn by this cases study analysis that privileged the heuristics of digital tools to the hermeneutics of more traditional research approaches. ...
We approach the analysis by information visualization methods and data manipulation tools, and in the paper we present process and results of the visualization, and the discussion of the stories we gather ...
Density Design Research Lab, Milan Polytechnic and their RAW, kindly given away to the use of everybody, as the spirit of community and opensource inspired. ...
doi:10.1007/978-3-319-07308-8_35
fatcat:vqjwbtgombhcdptjkuj7uudhiu
Algorithmic Fairness Datasets: the Story so Far
[article]
2022
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 2022; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Progress in fair Machine Learning hinges on data, which can be appropriately used only if adequately documented. ...
Data-driven algorithms are studied in diverse domains to support critical decisions, directly impacting people's well-being. ...
Acknowledgements The authors would like to thank the following researchers and dataset creators for the useful feedback on the data briefs: Alain Barrat, Luc Behaghel, Asia Biega, Marko Bohanec, Chris ...
arXiv:2202.01711v2
fatcat:5hf4a42pubc5vnt7tw3al4m5bq
Multi-decadal oceanic ecological datasets and their application in marine policy and management
2010
Trends in Ecology & Evolution
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.
Lessons learnt from reviewing these sequences of observations provide valuable context for the continuation of existing time-series and perspective for the initiation of new time-series in response to ...
Concluding sections call for a more integrated approach to marine observation systems and highlight the future role of ocean observations in adaptive marine management. ...
Second, ocean observations are also needed for evaluating the efficacy of management actions and for learning about how the system functions in order to improve future management. ...
doi:10.1016/j.tree.2010.07.007
pmid:20813425
fatcat:ccpsasgwe5an5lsb7kxujl2aze
Deliverable 1.6 Beneficiaries Dataset - 1st Call
2020
Zenodo
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.
This report compiles the Open Dataset containing the list of beneficiaries, project description and funds of BlockStart's open call #1 (Ideation Kick-off, Prototype and Pilot stages), which took place ...
Now it is possible to generate reports from its own production and aggregate data from past producers. ...
The system is based on blockchain technology, remote sensing and big data analytics. ...
doi:10.5281/zenodo.5244819
fatcat:df6lzez6afeihc4eeyhiqk3ycu
Urban Water Consumption at Multiple Spatial and Temporal Scales. A Review of Existing Datasets
2020
Water
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.
Counting these new datasets and more traditional aggregate water demand data, the literature is rich with heterogeneous urban water demand datasets. ...
The reviewed datasets are classified and analyzed according to the following criteria: spatial scale, temporal scale, and dataset accessibility. ...
Moreover, since digital disruption has transformed the electricity industry earlier and some lessons learned may apply also in the water or multi-utility sectors [26] , we additionally explore similarities ...
doi:10.3390/w13010036
fatcat:wwjoo2xjxffrpbhubozjtfjpfq
V for variety: Lessons learned from complex smart cities data harmonization and integration
2016
2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)
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.
These tasks support improved business intelligence, analytics and enduser access to data. ...
We then discuss a set of lessons that we have learned from our experience that we hope will be useful for others embarking on similar problems. ...
We hope the lessons help novice data analytics developers in their harmonization task and to better incorporate resources. ...
doi:10.1109/percomw.2016.7457092
dblp:conf/percom/AvazpourGZ16
fatcat:cdr6sxb3cnbovcfirjslum4ewa
« Previous
Showing results 1 — 15 out of 11,297 results