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Novel document detection for massive data streams using distributed dictionary learning

S. P. Kasiviswanathan, G. Cong, P. Melville, R. D. Lawrence
<span title="">2013</span> <i title="IBM"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cr766v23pncdhc7hmikak4m7pi" style="color: black;">IBM Journal of Research and Development</a> </i> &nbsp;
We present a solution to this challenge based on sparse coding, in which a stream of documents (where each document is modeled as an m-dimensional vector y) can be used to learn a dictionary matrix A of  ...  We scale up this approach to handle millions of documents by parallelizing sparse coding and dictionary learning, and by using the alternating-directions method to solve the resulting optimization problems  ...  Acknowledgments We thank Vikas Sindhwani and Arindam Banerjee for many discussions on the dictionary learning approach for novel document detection, and Stephen Boyd for a discussion on distributed ADMMs  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1147/jrd.2013.2247232">doi:10.1147/jrd.2013.2247232</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gb533tvb6nfnxab4v3vr65frry">fatcat:gb533tvb6nfnxab4v3vr65frry</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150908120009/http://www.cse.psu.edu:80/~kasivisw/ibm-journal.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/fb/92/fb92aa0a21c712c8c126afed17661c106f75675d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1147/jrd.2013.2247232"> <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>

Massively parallel acceleration of a document-similarity classifier to detect web attacks

Craig Ulmer, Maya Gokhale, Brian Gallagher, Philip Top, Tina Eliassi-Rad
<span title="">2011</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rwjg7tprafhufajayuvxj2q4n4" style="color: black;">Journal of Parallel and Distributed Computing</a> </i> &nbsp;
The TFIDF classifier is used to detect web attacks in HTTP data.  ...  This paper describes our approach to adapting a text document similarity classifier based on the Term Frequency Inverse Document Frequency (TFIDF) metric to two massively multi-core hardware platforms.  ...  Acknowledgments The ECML/PKDD data set was obtained from the ECML/PKDD 2007 Workshop and is administered by Dr. Mathieu Roche.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.jpdc.2010.07.005">doi:10.1016/j.jpdc.2010.07.005</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/s677czskm5a3fk7xgbnde56jea">fatcat:s677czskm5a3fk7xgbnde56jea</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170811000253/http://eliassi.org/papers/ulmer-jpdc11.pdf?origin=publication_detail" 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/ae/11/ae11610b1a37db39ec4d81495474342f03c1dbef.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.jpdc.2010.07.005"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

A note on exploration of IoT generated big data using semantics

Rajiv Ranjan, Dhavalkumar Thakker, Armin Haller, Rajkumar Buyya
<span title="">2017</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/idqeix2ukbd5fbgjjdkjmaj3ka" style="color: black;">Future generations computer systems</a> </i> &nbsp;
distributed architecture (http://dx.doi.org/10.1016/j.future.2017.03.004)", Guo et al. propose an object detection method of big data, which is in the compressive measurement domain under a mobile distributed  ...  Some big news portal sites and social media companies hire more editors to label these new concepts and words, and use the computing servers with larger memory to deal with the massive document classification  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.future.2017.06.032">doi:10.1016/j.future.2017.06.032</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nc3gui7mwrcp3djzzvbugzjorm">fatcat:nc3gui7mwrcp3djzzvbugzjorm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200306032208/https://bradscholars.brad.ac.uk/bitstream/handle/10454/13260/FGCS2017-final.pdf;jsessionid=3A91273018362F2DC75CBC3D53153A7B?sequence=2" 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/cd/cc/cdcc592ba859681d12df919e783864bfc55dc794.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.future.2017.06.032"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

A Comparative Study on Various Approaches for Event Detection in Social Streams

M. Vijaya Maheswari, Dr T. Christopher
<span title="2015-04-28">2015</span> <i title="ESRSA Publications Pvt. Ltd."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3j6n6lpsjndinobmibtprywohe" style="color: black;">International Journal of Engineering Research and</a> </i> &nbsp;
This paper explores a detailed comparative study about how to identify events in social streams. It also explained various event detection methods and algorithms.  ...  SNS contain tremendous amount of text, image, audio or video content which can be leveraged for a wide range of business purposes.  ...  (c) The ability to handle very large and massive volumes of text documents under the one-pass constraint of streaming scenarios.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17577/ijertv4is041296">doi:10.17577/ijertv4is041296</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vjirnfvqrjgfniarzh4xetedsm">fatcat:vjirnfvqrjgfniarzh4xetedsm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200323051748/https://www.ijert.org/research/a-comparative-study-on-various-approaches-for-event-detection-in-social-streams-IJERTV4IS041296.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/da/70/da7068218f86d524e8954ee9f7a7438ae24f483e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17577/ijertv4is041296"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Online Burst Events Detection Oriented Real-Time Microblog Message Stream

Guozhong Dong, Jun Gao, Liang Huang, Chunlei Shi
<span title="">2019</span> <i title="Computers, Materials and Continua (Tech Science Press)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/amujz7fcqna6do727z6ev3ueo4" style="color: black;">Computers Materials &amp; Continua</a> </i> &nbsp;
Experimental results in the real-time microblog message stream environment show that our framework can be used in online burst events detection and has higher accuracy compared with other approaches.  ...  Combined with event features, an online incremental clustering algorithm is used to cluster abnormal messages and detect burst events.  ...  Acknowledgement: This work was partially supported by Doctoral Scientific Research Foundation for Henan University of Urban Construction (No.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32604/cmc.2019.05601">doi:10.32604/cmc.2019.05601</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jpkb5o7mnfbldaougpqtbqikhu">fatcat:jpkb5o7mnfbldaougpqtbqikhu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200320124011/http://tsp.techscience.com/uploads/attached/file/20190702/20190702005110_22425.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/df/ac/dface32e44754b4c032a9ae1323da83e2808f7d6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32604/cmc.2019.05601"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Learning evolving and emerging topics in social media

Ankan Saha, Vikas Sindhwani
<span title="">2012</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/puezkhxc3rggrgb456avsvxi34" style="color: black;">Proceedings of the fifth ACM international conference on Web search and data mining - WSDM &#39;12</a> </i> &nbsp;
We develop scalable optimization algorithms for our framework, propose a new set of evaluation metrics, and report promising empirical results on traditional TDT tasks as well as streaming Twitter data  ...  In most of these settings, data points appear as a stream of high dimensional feature vectors.  ...  The use of explicit temporal regularizers for emerging topic detection in a matrix factorization framework in this manner is novel to the best of our knowledge.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2124295.2124376">doi:10.1145/2124295.2124376</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/wsdm/SahaS12.html">dblp:conf/wsdm/SahaS12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vycad2b7ivhyjdnqgnel6a5lqa">fatcat:vycad2b7ivhyjdnqgnel6a5lqa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809005209/http://people.cs.uchicago.edu/~ankans/Papers/wsdm227-saha.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/d0/22/d022a97a65c006f49ef9beb4388549777ce70a53.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2124295.2124376"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Current Trends in Text Mining for Social Media

Tajinder Singh, Madhu Kumari, Triveni Lal Pal, Ahsan Chauhan
<span title="2017-06-30">2017</span> <i title="Science and Engineering Research Support Society"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/k7f2snpxzrhybfen3tkjr6uoa4" style="color: black;">International Journal of Grid and Distributed Computing</a> </i> &nbsp;
Availability of data on such behemoth scale mandates regular and critical analysis of this information for various perspectives' plausibility.  ...  This paper focuses on description of assorted social media text mining methods with their viabilities and summarizes various commercial and open source tools for such data analysis Table 2.  ...  Polarity scores of sentiments can be predicted using machine learning approaches. In supervised learning labeled class of text documents are needed.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14257/ijgdc.2017.10.6.02">doi:10.14257/ijgdc.2017.10.6.02</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zl6yzig24ba7xgdsxlcj3yns4u">fatcat:zl6yzig24ba7xgdsxlcj3yns4u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180603140308/http://www.sersc.org/journals/IJGDC/vol10_no6/2.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/b5/ad/b5adcbb5b9d4f2b927adc7e5d4bfb775bbac86d8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14257/ijgdc.2017.10.6.02"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A Survey of Data Representation for Multi-Modality Event Detection and Evolution

Kejing Xiao, Zhaopeng Qian, Biao Qin
<span title="2022-02-20">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
Therefore, how to detect hot events from the massive amount of information has always been a problem.  ...  Next, we discuss the techniques of data representation for event detection, including textual, visual, and multi-modality content. Finally, we review event evolution under multi-modality data.  ...  [91] proposed a discriminative coupled dictionary hashing (DCDH) method, in which the side information is used for the learning of coupled dictionary for each modality.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app12042204">doi:10.3390/app12042204</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5gpezz6yhjejlmdzr5fhpgka6m">fatcat:5gpezz6yhjejlmdzr5fhpgka6m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220505100619/https://mdpi-res.com/d_attachment/applsci/applsci-12-02204/article_deploy/applsci-12-02204-v2.pdf?version=1645522725" 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/b4/b2/b4b21942b0936d7fd1386e68a4576e8ab757d570.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app12042204"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Spatial Semantic Scan: Jointly Detecting Subtle Events and their Spatial Footprint [article]

Abhinav Maurya
<span title="2016-05-28">2016</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Many methods have been proposed for detecting emerging events in text streams using topic modeling.  ...  However, these methods have shortcomings that make them unsuitable for rapid detection of locally emerging events on massive text streams.  ...  ., T }, where each φ i is a distribution over the N u unique words in the dictionary.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1511.00352v3">arXiv:1511.00352v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/d5dpwaqowff3vaxydn6rnhlsgq">fatcat:d5dpwaqowff3vaxydn6rnhlsgq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200831052350/https://arxiv.org/pdf/1511.00352v3.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/cc/51/cc518eb67cc60432aeb7bf737c84832a11d37b7b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1511.00352v3" 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>

Modelling of e-Governance Framework for Mining Knowledge from Massive Grievance Redressal Data

Sangeetha G, L. Manjunatha Rao
<span title="2017-03-01">2017</span> <i title="Institute of Advanced Engineering and Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ojahcxzn5ja27dfxbw3yqgfqee" style="color: black;">International Journal of Advances in Applied Sciences</a> </i> &nbsp;
Because of this fact, the proposed system attempts to understand the possibility of performing knowledge discovery process from grievance Data using conventional data mining algorithms.  ...  With the massive proliferation of online applications for the citizens with abundant resources, there is a tremendous hike in usage of e-governance platforms.  ...  Document clustering is an enabling technique for many other machine learning applications, such as information classification, filtering, routing, topic tracking, and new event detection.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11591/ijaas.v6.i1.pp32-41">doi:10.11591/ijaas.v6.i1.pp32-41</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jalsl6g6uvcuhpmfxiopez6iqq">fatcat:jalsl6g6uvcuhpmfxiopez6iqq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200324020847/http://ijaas.iaescore.com/index.php/IJAAS/article/download/8577/7762" 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] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11591/ijaas.v6.i1.pp32-41"> <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>

Efficient Framework of e-Government for Mining Knowledge from Massive Grievance Redressal Data

Sangeetha G, Manjunatha. L Rao
<span title="2015-05-30">2015</span> <i title="Tejass Publisheers"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ezm4lr6uezhi5pfgr6xkdexmgy" style="color: black;">IJARCCE</a> </i> &nbsp;
Because of this fact, the proposed system attempts to understand the possibility of performing knowledge discovery process from grievance Data using conventional data mining algorithms.  ...  With the massive proliferation of online applications for the citizens with abundant resources, there is a tremendous hike in usage of e-governance platforms.  ...  Document clustering is an enabling technique for many other machine learning applications, such as information classification, filtering, routing, topic tracking, and new event detection.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17148/ijarcce.2015.45142">doi:10.17148/ijarcce.2015.45142</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/slly6h36yvarfnnjscfk4o7tli">fatcat:slly6h36yvarfnnjscfk4o7tli</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180602112713/https://ijarcce.com/upload/2015/may-15/IJARCCE%20142.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/cf/a9/cfa933da29e4281fdba9292f4a14de9405c82962.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17148/ijarcce.2015.45142"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Big Data Analytics: Importance, Challenges, Categories, Techniques, and Tools

Sarah Alswedani
<span title="2020-08-25">2020</span> <i title="The World Academy of Research in Science and Engineering"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/naqzxq5hurh2bp2pnvwitnnx44" style="color: black;">International Journal of Advanced Trends in Computer Science and Engineering</a> </i> &nbsp;
used for handling this complexity such as Hadoop, Spark, and Storm.  ...  With the gigantic explosion of the volume of data generated every single day, big data analytics has born as a powerful technology for various organizations.  ...  It supports stream processing; however, batch processing is not supported. Currently, it is used in various applications including online machine learning, distributed RPC, and real-time analytics.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.30534/ijatcse/2020/17">doi:10.30534/ijatcse/2020/17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wnd4pn5b6fazbfwzhajtlm6qvy">fatcat:wnd4pn5b6fazbfwzhajtlm6qvy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200919011026/http://www.warse.org/IJATCSE/static/pdf/file/ijatcse174942020.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] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.30534/ijatcse/2020/17"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A survey of machine learning for big data processing

Junfei Qiu, Qihui Wu, Guoru Ding, Yuhua Xu, Shuo Feng
<span title="2016-05-28">2016</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hqblpsydr5emviirtqkkmctpha" style="color: black;">EURASIP Journal on Advances in Signal Processing</a> </i> &nbsp;
While the potential of these massive data is undoubtedly significant, fully making sense of them requires new ways of thinking and novel learning techniques to address the various challenges.  ...  In this paper, we present a literature survey of the latest advances in researches on machine learning for big data processing.  ...  of data, learning for different types of data, learning for high speed of streaming data, learning for uncertain and incomplete data, and learning for extracting valuable information from massive amounts  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s13634-016-0355-x">doi:10.1186/s13634-016-0355-x</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yrrg335535fmnibwu3k4iyzyxm">fatcat:yrrg335535fmnibwu3k4iyzyxm</a> </span>
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A novel adaptable approach for sentiment analysis on big social data

Imane El Alaoui, Youssef Gahi, Rochdi Messoussi, Youness Chaabi, Alexis Todoskoff, Abdessamad Kobi
<span title="2018-03-08">2018</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pkhnkszyprhb3orbf6g7tqmgiu" style="color: black;">Journal of Big Data</a> </i> &nbsp;
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creat iveco mmons .org/licen ses/by/4.0/), which permits unrestricted use, distribution  ...  J Big Data (2018) 5:12 METHODOLOGY  ...  Availability of data and materials The data sets are available in (https ://osf.io/kvxqs ). Ethics approval and consent to participate Not applicable. Funding None.  ... 
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An Improved Approach for Twitter Data Analysis using Clustering and J48 Classification

Ravikant Choudhary, Deepak Sain
<span title="2016-12-22">2016</span> <i title="Foundation of Computer Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b637noqf3vhmhjevdfk3h5pdsu" style="color: black;">International Journal of Computer Applications</a> </i> &nbsp;
Here in this paper a new and efficient method for the Detection of Traffic in Online Social Network Data is proposed using Clustering and Classification of Data.  ...  Social Media Network is one of the main source of data for various event detections.  ...  [11] models a arrangement of amount data using Poisson distributions.  ... 
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