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Using Natural Language Preprocessing Architecture (NLPA) for Big Data Text Sources

María Novo-Lourés, Reyes Pavón, Rosalía Laza, David Ruano-Ordas, Jose R. Méndez
<span title="2020-08-01">2020</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fw4azkpu65d2thmrwfkoawyxse" style="color: black;">Scientific Programming</a> </i> &nbsp;
Keeping this in mind, we combined a pipelining framework (BDP4J (Big Data Pipelining For Java)) with the implementation of a set of text preprocessing techniques in order to create NLPA (Natural Language  ...  However, a large number of big data sources provide textual unstructured data. A proper analysis requires tools able to adequately combine big data and text-analysing techniques.  ...  [31] designed and test a big data streaming approach for text processing. ey take advantage of Apache Storm framework designing Storm bolts to execute NLPA operations in a distributed architecture.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2020/2390941">doi:10.1155/2020/2390941</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4coynlja45fw5nebufhsqwcmna">fatcat:4coynlja45fw5nebufhsqwcmna</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200804201258/http://downloads.hindawi.com/journals/sp/2020/2390941.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d5/2f/d52fd8758f8aa40c9524cada91a4071cb5d3c804.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2020/2390941"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a>

DABS-Storm: A Data-Aware Approach for Elastic Stream Processing [chapter]

Roland Kotto Kombi, Nicolas Lumineau, Philippe Lamarre, Nicolo Rivetti, Yann Busnel
<span title="">2019</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
These applications make use of continuous queries, which are processed by a stream processing engine (SPE) to generate timely results given the ephemeral input data.  ...  In the last decade, stream processing has become a very active research domain motivated by the growing number of stream-based applications.  ...  Processing these Big Data streams (volume and velocity) in soft-real time (i.e., low latency), satisfying end-user performance requirements, still raises several research problems.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-662-58664-8_3">doi:10.1007/978-3-662-58664-8_3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dgicilf6qfglfe3sxhzgl3y5bu">fatcat:dgicilf6qfglfe3sxhzgl3y5bu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190429054437/https://hal-imt-atlantique.archives-ouvertes.fr/hal-01951682/file/AS-OSG.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/59/98/59982f56220adca7fc7e6f48cb7b0eca3ca5a04d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-662-58664-8_3"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

A disk based stream oriented approach for storing big data

Peter Membrey, Keith C.C. Chan, Yuri Demchenko
<span title="">2013</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gclxq7jjtzbb7f3lzwa22ysn5i" style="color: black;">2013 International Conference on Collaboration Technologies and Systems (CTS)</a> </i> &nbsp;
This paper proposes an extension to the generally accepted definition of Big Data and from this extended definition proposes a specialized database design for storing high throughput data from low-latency  ...  It discusses the challenges a financial company faces with regards to processing and storing data and how existing database technologies are unsuitable for this niche task.  ...  However, although the focus is on processing Big Data in the cloud, there are still more traditional requirements for Big Data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cts.2013.6567204">doi:10.1109/cts.2013.6567204</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/cts/MembreyCD13.html">dblp:conf/cts/MembreyCD13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jts6hchdbbdxzphsb2rb3upbfu">fatcat:jts6hchdbbdxzphsb2rb3upbfu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170418204543/http://uazone.org/demch/papers/bddac2013_cakedb-submitted.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/18/31/18311c797fe79deaadbd65d00fbdd7fd9cf89487.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cts.2013.6567204"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

On Training Deep Neural Networks Using a Streaming Approach

Piotr Duda, Maciej Jaworski, Andrzej Cader, Lipo Wang
<span title="2020-01-01">2020</span> <i title="Walter de Gruyter GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/r6s7pm3e6nafzezoucv6lewdm4" style="color: black;">Journal of Artificial Intelligence and Soft Computing Research</a> </i> &nbsp;
The price for such high accuracy is the long training time, necessary to process such large amounts of data.  ...  On the other hand, along with the increase in the number of collected data, the field of data stream analysis was developed. It enables to process data immediately, with no need to store them.  ...  Among the others, convolutional neural networks allow processing big sets of images, recurrent neural networks are a great tool for Natural Language Processing, and deep belief networks are valuable in  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2478/jaiscr-2020-0002">doi:10.2478/jaiscr-2020-0002</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dfnv4veshbhx3i42btboou5bfa">fatcat:dfnv4veshbhx3i42btboou5bfa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191217040933/https://content.sciendo.com/downloadpdf/journals/jaiscr/10/1/article-p15.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/59/be/59bed45065f2cd7850146767418689972fa3b12f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2478/jaiscr-2020-0002"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

A NoSQL Approach for Aspect Mining of Cultural Heritage Streaming Data

Gerasimos Vonitsanos, Andreas Kanavos, Alaa Mohasseb, Dimitrios Tsolis
<span title="">2019</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7qzwn2qmnjhkxmmjofg7jyav5e" style="color: black;">2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA)</a> </i> &nbsp;
Naturally representing and efficiently processing a large number of opinions can be implemented with the use of streaming technologies.  ...  In this paper, we present a NoSQL database approach for aspect mining of a cultural heritage scenario by taking advantage of Apache Spark streaming architecture.  ...  In Big Data environment, there are two types of data processing engines, namely batch, and streaming engines.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iisa.2019.8900770">doi:10.1109/iisa.2019.8900770</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/iisa/VonitsanosKMT19.html">dblp:conf/iisa/VonitsanosKMT19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vqrlkkrxtbdwjd7ebchbreypgq">fatcat:vqrlkkrxtbdwjd7ebchbreypgq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200508220249/https://researchportal.port.ac.uk/ws/files/17114650/A_NoSQL_Approach_for_Aspect_Mining_of_Cultural_Heritage_Streaming_Data.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d1/6b/d16bc47c86549ffc7900c28b163f7c8c31bd0519.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iisa.2019.8900770"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

CAREER RECOMMENDER: A NOVEL APPROACH TO SUGGEST JOBS AND POST-GRADUATION STREAMS

Prafful Nath Mathur, Abhishek Dixit, Sakkaravarthi Ramanathan
<span title="2017-04-01">2017</span> <i title="Innovare Academic Sciences Pvt Ltd"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/exe2cs2mnnd5xor5poxecc5qlu" style="color: black;">Asian Journal of Pharmaceutical and Clinical Research</a> </i> &nbsp;
College lists are also retrieved for post-graduation streams and stored in a database. Student résumé is stored and parsed using natural language processing methods to form a résumé model.  ...  To implement a novel approach to recommend jobs and colleges based on résumé of freshly graduated students. Job postings are crawled from web using a web crawler and stored in a customized database.  ...  Natural language processing (NLP) This field is related with machine learning approach which is concerned with the interaction between computers and human beings. Mathur et al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22159/ajpcr.2017.v10s1.19758">doi:10.22159/ajpcr.2017.v10s1.19758</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7wo37ffzkffvjebnqgg5pzwju4">fatcat:7wo37ffzkffvjebnqgg5pzwju4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180719153151/https://innovareacademics.in/journals/index.php/ajpcr/article/download/19758/11853" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7f/95/7f95148163dd90dbdbcbc4e5090741d8f15db1a5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22159/ajpcr.2017.v10s1.19758"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

A named entity recognition approach for tweet streams using active learning

Van Cuong Tran, Dinh Tuyen Hoang, Ngoc Thanh Nguyen, Dosam Hwang, Ngoc-Thanh Nguyen, Manuel Núñez, Bogdan Trawiński
<span title="2017-01-30">2017</span> <i title="IOS Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5232pusig5eapbukawp5py2bk4" style="color: black;">Journal of Intelligent &amp; Fuzzy Systems</a> </i> &nbsp;
Active learning is well-suited to many problems in natural language processing, especially when unlabeled data may be abundant, but labeled data is limited.  ...  Thus, it is difficult to apply the traditional natural language processing algorithms to analyze them.  ...  Tran et al. / A named entity recognition approach for tweet streams using active learning 3 that a machine-learning algorithm can achieve bet-151 ter performance with fewer labeled training data if 152  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3233/jifs-169126">doi:10.3233/jifs-169126</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xbx6mq4xhbdxxagfa65kvmpjfy">fatcat:xbx6mq4xhbdxxagfa65kvmpjfy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171009001126/http://journal-dl.com:80/downloadpdf/591087e23fbb6e13743bb09b" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/96/e8/96e880d81677ff0b9f5421703ae688bfbcabec3e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3233/jifs-169126"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

TopicBERT: A Transformer transfer learning based memory-graph approach for multimodal streaming social media topic detection [article]

Meysam Asgari-Chenaghlu, Mohammad-Reza Feizi-Derakhshi, Leili farzinvash, Mohammad-Ali Balafar, Cina Motamed
<span title="2020-08-16">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Although, other techniques such as unsupervised data mining methods are language independent but many requirements for a comprehensive solution are not met.  ...  These properties of social networks which are known as 5'Vs of big data has led to many unique and enlightenment algorithms and techniques applied to large social networking datasets and data streams.  ...  This API made researchers capable of investigating its social big data in a streaming way or in a query based data retrieval fashion [9] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2008.06877v1">arXiv:2008.06877v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rri3j5hrgvfrxigwkn2543l334">fatcat:rri3j5hrgvfrxigwkn2543l334</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200821213514/https://arxiv.org/pdf/2008.06877v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fa/af/faaf86742fdd0ca4c9a7c54b66184dbd57512a0e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2008.06877v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Intrusion Detection System for High Volume and High Velocity Packet Streams: A Clustering Approach

Dinkar Sitaram
<span title="">2013</span> <i title="EJournal Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7sxoz3chujcmlfd325wbdquj7y" style="color: black;">International Journal of Innovation Management and Technology</a> </i> &nbsp;
This work is a first step towards proposing such an IDS, which is built on clustering-based machine learning.  ...  The authors evaluate different clustering algorithms using a network packet trace and provide results, which help in evaluating these algorithms.  ...  Such a system needs the ability to analyze packets arriving in a network or cloud via fat pipes (OC-192 and OC-768 links) and such data is a clear representation of big data streams in its most raw form  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7763/ijimt.2013.v4.446">doi:10.7763/ijimt.2013.v4.446</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ixjzfdk2czdc3pkgbh4pelx4d4">fatcat:ixjzfdk2czdc3pkgbh4pelx4d4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808151044/http://ijimt.org/papers/446-T069.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/21/ac/21ac9095be857de33b6ddbea5c251ea4fb63e54d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7763/ijimt.2013.v4.446"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Sarcastic sentiment detection in tweets streamed in real time: a big data approach

S.K. Bharti, B. Vachha, R.K. Pradhan, K.S. Babu, S.K. Jena
<span title="">2016</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/scfn3csnanh2dmxlrz4d4ypyfy" style="color: black;">Digital Communications and Networks</a> </i> &nbsp;
We observe that the elapse time for analyzing and processing under Hadoop based framework significantly outperforms the conventional methods and is more suited for real time streaming tweets.  ...  In the textual data, these tonal and gestural clues are missing, making sarcasm detection very difficult for an average human.  ...  Further, we use natural language processing (NLP) techniques like POS tagging [13] , parsing [14] , text mining [15, 16] and sentiment analysis [17] to identify sarcasm in these processed tweets.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.dcan.2016.06.002">doi:10.1016/j.dcan.2016.06.002</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jvdu7ndggrcp7ln6lbwiu567a4">fatcat:jvdu7ndggrcp7ln6lbwiu567a4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190326021158/https://core.ac.uk/download/pdf/82167107.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7e/04/7e047d852ce5c0df97ee62ba5e197289ff612fd7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.dcan.2016.06.002"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a>

Patients' experiences of a Communication Enhanced Environment model on an acute/slow stream rehabilitation and a rehabilitation ward following stroke: a qualitative description approach

Sarah D'Souza, Deborah Hersh, Erin Godecke, Natalie Ciccone, Heidi Janssen, Elizabeth Armstrong
<span title="2021-11-15">2021</span> <i title="Informa UK Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jljvxmaeyndnlpom46c7ntezvm" style="color: black;">Disability and Rehabilitation</a> </i> &nbsp;
access to a CEE model is challenging in a hospital setting.Patients who were able to access elements of the CEE model described positive opportunities for engagement in language activities.Patients' access  ...  Those who were able to access elements of the CEE model described positive opportunities for engagement in language activities.  ...  Lana Rojas for their willingness to assist the site champions in screening potential study participants.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1080/09638288.2021.1965226">doi:10.1080/09638288.2021.1965226</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34780322">pmid:34780322</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/evjxtdwjujb6jcdur3xm7d2ixe">fatcat:evjxtdwjujb6jcdur3xm7d2ixe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220308170250/https://ro.ecu.edu.au/cgi/viewcontent.cgi?article=12439&amp;context=ecuworkspost2013" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/24/c1/24c155e1c0211cff1db2ebd54a02cd6035f33c11.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1080/09638288.2021.1965226"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> tandfonline.com </button> </a>

A fast approach to encrypt and decrypt of video streams for secure channel transmission

Mahammad Farooq Sunar, V. Madhu Viswanatham
<span title="">2018</span> <i title="Inderscience Publishers"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zvdixai5fbe3dbrdqdsmuboo4a" style="color: black;">World Review of Science, Technology and Sustainable Development</a> </i> &nbsp;
To enhance the time multifaceted nature of the current framework, parallel rendition of the current approach is being proposed in this paper in which every square of picture casings of the video are scrambled  ...  Consequently this paper proposes a light weight encryption method in which it scramble resulting edges of the video rather than the whole video.  ...  This scheme for encryption is less complex that gives rapid response for real time streamlined data, yet proposing a secure way of encoding process.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1504/wrstsd.2018.092820">doi:10.1504/wrstsd.2018.092820</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jffhiks43fhqngmay4h5q5scci">fatcat:jffhiks43fhqngmay4h5q5scci</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200210174708/https://pdfs.semanticscholar.org/4644/747740d5b1df4b892b223445740134d93d2f.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/46/44/4644747740d5b1df4b892b223445740134d93d2f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1504/wrstsd.2018.092820"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Gaussian Processes for Natural Language Processing

Trevor Cohn, Daniel Preotiuc-Pietro, Neil Lawrence
<span title="">2014</span> <i title="Association for Computational Linguistics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5n6volmnonf5tn6xputi5f2t3e" style="color: black;">Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics: Tutorials</a> </i> &nbsp;
Daniel Preoţiuc-Pietro 4 is a final year PhD student in Natural Language Processing at the University of Sheffield.  ...  A temporal model of text periodicities using Gaussian Processes. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3115/v1/p14-6001">doi:10.3115/v1/p14-6001</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/acl/CohnPL14.html">dblp:conf/acl/CohnPL14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/plnqnt2t4rhbjlbg2oj6zxlgw4">fatcat:plnqnt2t4rhbjlbg2oj6zxlgw4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829021413/https://sites.sas.upenn.edu/danielpr/files/gpnlp14acl.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/52/3f/523f285d0c62bdcef70489813ead5013a869e817.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3115/v1/p14-6001"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Anime4You: An Intelligent Analytical Framework for Anime Recommendation and Personalization using AI and Big Data Analysis

Kaiho Cheung, Ishmael Rico, Tao Li, Yu Sun
<span title="2021-12-23">2021</span> <i title="Academy and Industry Research Collaboration Center (AIRCC)"> Natural Language Processing </i> &nbsp; <span class="release-stage">unpublished</span>
The program uses a Python-based machine learning algorithm from ScikitLearn and data from My Animelist to create an accurate model that delivers what consumers want, good recommendations [9].  ...  We developed a program to ensure easier answers to the issue.  ...  We are starting to see subscription streaming services such as Crunchyroll pop up. For reference the anime industry as a whole is worth around 20 billion USD and still growing.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5121/csit.2021.112317">doi:10.5121/csit.2021.112317</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nsvuiqejhjczbkt3k53gb6deza">fatcat:nsvuiqejhjczbkt3k53gb6deza</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220102073839/https://aircconline.com/csit/papers/vol11/csit112317.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0f/95/0f95499b43129e160ba2322482ffd9ac5a431400.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5121/csit.2021.112317"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Stream Processing Languages in the Big Data Era

Martin Hirzel, Guillaume Baudart, Angela Bonifati, Emanuele Della Valle, Sherif Sakr, Akrivi Akrivi Vlachou
<span title="2018-12-11">2018</span> <i title="Association for Computing Machinery (ACM)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/svqjiw2cwzftpcod3duuxcbveu" style="color: black;">SIGMOD record</a> </i> &nbsp;
This paper is a survey of recent stream processing languages, which are programming languages for writing applications that analyze data streams.  ...  Analyzing big data streams yields immense advantages across all sectors of our society. To analyze streams, one needs to write a stream processing application.  ...  Acknowledgements The idea for this paper was conceived at Dagstuhl Seminar 17441 on "Big Stream Processing Systems". We thank our fellow participants of the seminar and the Dagstuhl sta↵. A.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3299887.3299892">doi:10.1145/3299887.3299892</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/znnnhxbl3rh2rmkrcpbitp6kiy">fatcat:znnnhxbl3rh2rmkrcpbitp6kiy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200307114746/https://re.public.polimi.it/retrieve/handle/11311/1082418/356916/05_Surveys_Hirzel.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/12/b2/12b273c5c6c189cc8d8cc1fbb1dd754c55d68f14.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3299887.3299892"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>
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