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Stream reasoning: A survey and outlook
2017
Data Science
Preserved Fulltext
We would also like to thank the Swiss National Science Foundation (SNF) for partial support of this work unter contract number #407550_167177. ...
Their comments contributed in improving the quality of this article. ...
STARQL is structured as a two-layer framework, composed of an Ontology Language, to model the data and its schema, and an Embedded Constraint Language, to compose the queries. ...
doi:10.3233/ds-170006
dblp:journals/datasci/DellAglioVHB17
fatcat:fgnskaiz4fd2nlzeltpo356um4
Interactive Data Mining: A Brief Survey
2013
Lecture Notes on Software Engineering
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This survey highlights the challenges of the existing methods, evolutionary growth of technologies. ...
In this paper, we have conducted a comprehensive survey on the areas related data mining such as Data Extraction, Transformation and Loading; Interactive Data mining; Knowledge Discovery and Content summarization ...
The survey [18] , which dealt with the question of how companies can apply inductive learning techniques, concluded that the process of machine learning should primarily be user driven, instead of data ...
doi:10.7763/lnse.2013.v1.38
fatcat:bkwzaibyhracnh5pjxksjybwym
A Survey on Data Mining
2013
IOSR Journal of Computer Engineering
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We will examine the advantage and disadvantages of data mining in different industries. ...
It is the process of analyzing data from different perspectives and summarizing it into useful information. ...
FOUNDATIONS OF DATA MINING Data mining techniques are the result of a long process of research and product development. ...
doi:10.9790/0661-1051720
fatcat:fyqjnnylpvdh5nt2qjucspfxki
Query Processing on Probabilistic Data: A Survey
2017
Foundations and Trends in Databases
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The journal targets the full scope of issues in data management, from theoretical foundations, to languages and modeling, to algorithms, system architecture, and applications. ...
Editorial Scope Topics Foundations and Trends R in Databases covers a breadth of topics relating to the management of large volumes of data. ...
We sketch only the proof of the first item, by showing how to convert an inversion-free query into an OBDD. We start from an inversion-free query Q and a domain size n. ...
doi:10.1561/1900000052
fatcat:jzifdhyvsnh7thqrnuptxbpejy
A Survey on Data Collection for Machine Learning: a Big Data – AI Integration Perspective
[article]
2019
arXiv
pre-print
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2018 pre-print arXiv:1811.03402v1 fatcat:m6pgbchxabctbbq62f5jelsetq
In this survey, we perform a comprehensive study of data collection from a data management point of view. ...
Data collection is a major bottleneck in machine learning and an active research topic in multiple communities. There are largely two reasons data collection has recently become a critical issue. ...
A recent survey [62] provides an extensive discussion on the challenges for such data crowdsourcing. Another survey [63] touches on the theoretical foundations of data crowdsourcing. ...
arXiv:1811.03402v2
fatcat:wviufzo2p5dtrnfrbisgkzrpd4
AI4VIS: Survey on Artificial Intelligence Approaches for Data Visualization
[article]
2021
arXiv
pre-print
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In this survey, we probe the underlying vision of formalizing visualizations as an emerging data format and review the recent advance in applying AI techniques to visualization data (AI4VIS). ...
We build our survey upon a corpus spanning ten different fields in computer science with an eye toward identifying important common interests. ...
The website also provides an overview of the surveyed paper. ...
arXiv:2102.01330v2
fatcat:opj6rlzrzjg4jewxdxlsazlinu
Big Data for Traffic Estimation and Prediction: A Survey of Data and Tools
[article]
2022
arXiv
pre-print
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Combined with this trend, this study presents an up-to-date survey of open data and big data tools used for traffic estimation and prediction. ...
To further promote the use of big data for traffic estimation and prediction tasks, challenges and future directions are given for future studies. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
arXiv:2103.11824v2
fatcat:nnvx45qxzvcajneonpnok5tfli
Novice Evaluation and Comparative Survey on Database Management System, Data Warehousing and Data Mining
2016
International Journal of Computer Applications
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Furthermore, it is emphasized to cleaning and uploading data into a data warehouse system; and front-end client tools for querying; data evaluation server extensions for proceedings the efficiency of queries ...
Henceforth; a database system overcomes with an important role in this real world. ...
There are two specialties of classification: tree induction and neural induction [7] . ...
doi:10.5120/ijca2016908613
fatcat:mzm4lo4bdje63estdi4an7a46u
A survey on data‐efficient algorithms in big data era
2021
Journal of Big Data
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In light of this debate, this work investigates the issue of algorithms' data hungriness. First, it surveys the issue from different perspectives. ...
Specifically, the survey covers solution strategies that handle data-efficiency by (i) using non-supervised algorithms that are, by nature, more data-efficient, by (ii) creating artificially more data, ...
[283] proposed a differentiable inductive logic framework which is a reimplementation of traditional Inductive Logic Programming (ILP) in an end-to-end differentiable architecture. ...
doi:10.1186/s40537-021-00419-9
fatcat:v4uahsvhlzdldlxqf24bshmja4
Big Data for Traffic Estimation and Prediction: A Survey of Data and Tools
2022
Applied System Innovation
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Combined with this trend, this study presents an up-to-date survey of open data and big data tools used for traffic estimation and prediction. ...
To further promote the use of big data for traffic estimation and prediction tasks, challenges and future directions are given for future studies. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/asi5010023
fatcat:fwdh6rcdbzcgvak6a2fy5xjqja
A survey of the first 20 years of research on semantic Web and linked data
2018
Ingénierie des Systèmes d'Information
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This paper is a survey of the research topics in the field of Semantic Web, Linked Data and Web of Data. ...
Compiling several bibliographical sources and bibliometric indicators, we identify the main research trends and we reference some of their major publications to provide an overview of that initial period ...
Acknowledgements To Mylène Leitzelman for her independent bibliometric validation of the topics and articles. ...
doi:10.3166/isi.23.3-4.11-38
fatcat:zsuc34fo5fh3tbz56rlrf72rii
Workflow mining: A survey of issues and approaches
2003
Data & Knowledge Engineering
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To support the design of workflows, we propose the use of workflow mining. ...
Many of todayÕs information systems are driven by explicit process models. ...
Such as data warehouse simplifies and speeds up the queries needed to derive causal relations. ...
doi:10.1016/s0169-023x(03)00066-1
fatcat:ucgysjykvzgrzmxqxi2p53djhe
Data-driven Learning in Second Language Writing Class: A Survey of Empirical Studies
2017
International Journal of Emerging Technologies in Learning (iJET)
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Corpus technology is commonly used by researchers and professionals for language description; however it can also be employed by second or foreign language learners in what has come to be known as data-driven ...
To popularize DDL approach among ordinary language teachers and learners, this paper offers an overview of empirical DDL research in writing published from 2010 to 2016, which can provide insights into ...
in higher-education for inductive language learning of advanced usage." ...
doi:10.3991/ijet.v12i03.6523
fatcat:osfdrllwebcwzmk5m7ivjsv74e
A Survey of Computational Methods for Protein Function Prediction
[chapter]
2016
Big Data Analytics in Genomics
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neighbors in a protein-protein interaction network, from microarray data, or a combination of these different types of data. ...
The latter are related to the different sources of data exploited to predict function, as well as different choices in representing and integrating heterogeneous data. ...
Such are the conclusions of a survey of such methods in 2013 [124] . ...
doi:10.1007/978-3-319-41279-5_7
fatcat:pejwmwpoarhyjhulevmkbavocm
A survey on learning from data streams: current and future trends
2012
Progress in Artificial Intelligence
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Data streams produce huge amount of data that introduces new constraints in the design of learning algorithms: limited computational resources in terms of memory, cpu power, and communication bandwidth ...
In this article we discuss the limitations of current machine learning and data mining algorithms. ...
Discovery from Ubiquitous Data Streams. ...
doi:10.1007/s13748-011-0002-6
fatcat:lk3mn36yvbf57p7u2ugy7onkum
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