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Semi-structured Documents Mining: A Review and Comparison

Amina Madani, Omar Boussaid, Djamel Eddine Zegour
<span title="">2013</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cx3f4s3qmfe6bg4qvuy2cxezyu" style="color: black;">Procedia Computer Science</a> </i> &nbsp;
The number of semi-structured documents that is produced is steadily increasing. Thus, it will be essential for discovering new knowledge from them.  ...  In this survey paper, we review popular semi-structured documents mining approaches (structure alone and both structure and content).  ...  Tech (Data mining techniques): Data mining techniques like clustering, classification and association rules has been widely used for semi-structured documents.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.procs.2013.09.110">doi:10.1016/j.procs.2013.09.110</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sjh47ru4ofcdtezxs6brnfiqta">fatcat:sjh47ru4ofcdtezxs6brnfiqta</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170927195848/http://publisher-connector.core.ac.uk/resourcesync/data/elsevier/pdf/594/aHR0cDovL2FwaS5lbHNldmllci5jb20vY29udGVudC9hcnRpY2xlL3BpaS9zMTg3NzA1MDkxMzAwOTAzNA%3D%3D.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/ab/21/ab21028aeec366e5ca0edaa15eae730cb12fe0c8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.procs.2013.09.110"> <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>

Autoencoder-Based Semantic Novelty Detection: Towards Dependable AI-Based Systems

Andreas Rausch, Azarmidokht Motamedi Sedeh, Meng Zhang
<span title="2021-10-22">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
Thus, novelty detection, that is, identifying data that differ in some respect from the data used for training, becomes a safety measure for system development and operation.  ...  The accuracy of AI-based systems depends on the quality of training data.  ...  And finally, we thank all anonymous referees for their useful suggestions. Conflicts of Interest: The authors declare no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app11219881">doi:10.3390/app11219881</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/63zdxctg7jeqpcuokr5l6ickkm">fatcat:63zdxctg7jeqpcuokr5l6ickkm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211025231338/https://mdpi-res.com/d_attachment/applsci/applsci-11-09881/article_deploy/applsci-11-09881-v2.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/61/0b/610b2b4c978a275bf0feca8c03b8aa66bea3ffa7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app11219881"> <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>

EGFC: Evolving Gaussian Fuzzy Classifier from Never-Ending Semi-Supervised Data Streams – With Application to Power Quality Disturbance Detection and Classification [article]

Daniel Leite, Leticia Decker, Marcio Santana, Paulo Souza
<span title="2020-04-17">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
patterns autonomously from never-ending data streams by adapting the parameters and structure of a fuzzy rule base on the fly.  ...  We propose an Evolving Gaussian Fuzzy Classification (EGFC) framework for semi-supervised disturbance detection and classification combined with a hybrid Hodrick-Prescott and Discrete-Fourier-Transform  ...  Section III presents the data-stream-based semi-supervised learning algorithm and the Evolving Gaussian Fuzzy Classifier, EGFC, proposed for a broad class of classification and online anomaly-detection  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.09986v1">arXiv:2004.09986v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3edmdojo6vhtddwca3pvqdha7m">fatcat:3edmdojo6vhtddwca3pvqdha7m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200501025113/https://arxiv.org/pdf/2004.09986v1.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" href="https://arxiv.org/abs/2004.09986v1" 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>

Autoencoder-based Semantic Novelty Detection: Towards Dependable AI-based Systems [article]

Andreas Rausch, Azarmidokht Motamedi Sedeh, Meng Zhang
<span title="2021-08-25">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Thus, novelty detection - identifying data that differ in some respect from the data used for training - becomes a safety measure for system development and operation.  ...  The accuracy of AI-based systems depends on the quality of training data.  ...  The 2 nd and 3 rd rules provide a design space of a semi-semantic topology-based autoencoder for novelty detection.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2108.10851v2">arXiv:2108.10851v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vixr5vvg3nheloknffsazraj3q">fatcat:vixr5vvg3nheloknffsazraj3q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210831102407/https://arxiv.org/ftp/arxiv/papers/2108/2108.10851.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/2a/3b/2a3b1088cb79ebb0baacef6724dbe98ad1b254a4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2108.10851v2" 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>

Effective XQuery keyword using XML query processing

E. Seshatheri, T. Bhuvaneswari
<span title="2018-12-25">2018</span> <i title="Institute of Advanced Engineering and Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/trvfti3jm5hnxhei7rl7owpcqq" style="color: black;">Indonesian Journal of Electrical Engineering and Computer Science</a> </i> &nbsp;
The utilized knowledge bed is provided with concise ideas for both structured and semi structured data files, XML document contents and rapid with exact solutions for the queries required at any time.  ...  <span>The data has structured is determined using the standard is known as XML whereaslarge amount of data has consumed through internet consist of the both structural data format as well as semi structural  ...  Association Rules The focus of data mining community is based on the advancement technique for general structure extraction from heterogeneous XML data is said to be mining semi-structured data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11591/ijeecs.v14.i1.pp450-454">doi:10.11591/ijeecs.v14.i1.pp450-454</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tgicdcipvbbszaigd276ayeslu">fatcat:tgicdcipvbbszaigd276ayeslu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210427210734/http://ijeecs.iaescore.com/index.php/IJEECS/article/download/17360/11541" 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/93/de/93de60c048936ee9a4adcd77a66f10f193829828.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11591/ijeecs.v14.i1.pp450-454"> <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>

PDF text classification to leverage information extraction from publication reports

Duy Duc An Bui, Guilherme Del Fiol, Siddhartha Jonnalagadda
<span title="">2016</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/p4kk6lusgrhyxecgig72iasi5q" style="color: black;">Journal of Biomedical Informatics</a> </i> &nbsp;
In addition, use of the algorithm to filter semi-structured texts and publication metadata improved performance of the outcome extraction system (F-measure +4.1%, p=0.002).  ...  In a PDF document, narrative content is often mixed with publication metadata or semi-structured text, which add challenges to the underlining natural language processing algorithm.  ...  retrieval, document classification, and IE of other data elements, and using semi-structured texts instead of excluding them.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.jbi.2016.03.026">doi:10.1016/j.jbi.2016.03.026</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/27044929">pmid:27044929</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4893911/">pmcid:PMC4893911</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fwtdbiryb5hifbve3m4e2t6jha">fatcat:fwtdbiryb5hifbve3m4e2t6jha</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200210063841/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC4893911&amp;blobtype=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/1a/02/1a02c3c297fcc48be782309d213354cc5896844d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.jbi.2016.03.026"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4893911" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Exploiting low-cost and commonly shared aerial photographs and LiDAR data for detailed vegetation structure mapping of the Wadden Sea island of Ameland

Mücher, C.A, Kramer , H, Najafabadi , M.R, Kooistra , L, Kuiters, A.T, Slim, P.A
<span title="">2019</span> <i title="Sift Desk"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cectjmcdgnbbbc4ocyohzdqxke" style="color: black;">SDRP Journal of Earth Sciences &amp; Environmental Studies</a> </i> &nbsp;
Specifically, aerial photographs and LiDAR data were employed to explore semi-automatic mapping of vegetation structure.  ...  SIFT DESK Semi-automatic classification systems such as EO-DHaM (Earth Observation Data for Habitat Monitoring) have proven suitable for mapping land cover and habitats using commercial very high resolution  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.25177/jeses.4.1.2">doi:10.25177/jeses.4.1.2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xcgm3ggi6zbnfpl3nki4ez27bi">fatcat:xcgm3ggi6zbnfpl3nki4ez27bi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190429072425/http://www.openaccessjournals.siftdesk.org/articles/pdf/Exploiting-low-cost-and-commonly-shared-aerial-photographs-and-LiDAR-data20190131195743.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/af/94/af948b9bf79b6d9e2854cced482467527cace7fb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.25177/jeses.4.1.2"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Machine learning classification of surgical pathology reports and chunk recognition for information extraction noise reduction

Giulio Napolitano, Adele Marshall, Peter Hamilton, Anna T. Gavin
<span title="">2016</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7zekrk5bkbglxhzdjmkpl6hksq" style="color: black;">Artificial Intelligence in Medicine</a> </i> &nbsp;
For semi-structured reports the performance ranged from 0.97 to 0.94 and from 0.92 to 0.83 in precision and recall, while for unstructured reports performance ranged from 0.91 to 0.64 and from 0.68 to  ...  Poor results were found when the classifier was trained on semi-structured reports but tested on unstructured.  ...  This latter process was intended as a method to suggest which laboratories may have produced semi-structured reports, although the classification of reports as either semi-structured or unstructured for  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.artmed.2016.06.001">doi:10.1016/j.artmed.2016.06.001</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/27431038">pmid:27431038</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xub3mz7chraczjsemck4by6eeu">fatcat:xub3mz7chraczjsemck4by6eeu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190501180321/https://pure.qub.ac.uk/ws/files/58455398/ML_AIM_Manuscript_ANNA.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/c9/86/c9860d0a00d9e68b2f7221c7b112f72c890a0a4d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.artmed.2016.06.001"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Semi-supervised clinical text classification with Laplacian SVMs: An application to cancer case management

Vijay Garla, Caroline Taylor, Cynthia Brandt
<span title="2013-07-08">2013</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/p4kk6lusgrhyxecgig72iasi5q" style="color: black;">Journal of Biomedical Informatics</a> </i> &nbsp;
To compare linear and Laplacian SVMs on a clinical text classification task; to evaluate the effect of unlabeled training data on Laplacian SVM performance.  ...  Semi-supervised learning algorithms use both labeled and unlabeled data to train classifiers, and can outperform their supervised counterparts.  ...  (NCATS), and VA Grant HIR 08-374 HSR&D: Consortium for Health Informatics.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.jbi.2013.06.014">doi:10.1016/j.jbi.2013.06.014</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/23845911">pmid:23845911</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3806632/">pmcid:PMC3806632</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ntcn3kqcpjftfinqdu66hqi6g4">fatcat:ntcn3kqcpjftfinqdu66hqi6g4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170930055529/http://publisher-connector.core.ac.uk/resourcesync/data/elsevier/pdf/88e/aHR0cDovL2FwaS5lbHNldmllci5jb20vY29udGVudC9hcnRpY2xlL3BpaS9zMTUzMjA0NjQxMzAwMDg5MA%3D%3D.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/60/d2/60d27f7d8a37f7cbae61a6e76b0f7d68dc06693e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.jbi.2013.06.014"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3806632" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Enhancing educational data mining techniques on online educational resources with a semi-supervised learning approach

Vincent Tam, Edmund Y. Lam, S. T. Fung, W. W. T. Fok, Allan H. K. Yuen
<span title="">2015</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/chmuthblbjhwvpyni2r3u7v6by" style="color: black;">2015 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)</a> </i> &nbsp;
common set of prerequisite rules based on a diverse set of online educational resources.  ...  EDM is generally more interested in automated methods for discovery within the educational data while LA is relatively keen on applying human-led methods to understand the involved learning processes.  ...  Kinshuk and Professor Henry Chan for their valuable inputs.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tale.2015.7386044">doi:10.1109/tale.2015.7386044</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/tale/TamLFFY15.html">dblp:conf/tale/TamLFFY15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dmerijugrbcy3j66yzfuzk2gly">fatcat:dmerijugrbcy3j66yzfuzk2gly</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809023044/https://www.eee.hku.hk/optima/pub/conference/1512_TALE.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/89/7c/897cca32af64a24fd1c7d615fca6d943a7cbcb52.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tale.2015.7386044"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Actively Semi-Supervised Deep Rule-based Classifier Applied to Adverse Driving Scenarios

Eduardo Soares, Plamen Angelov, Bruno Costa, Marcos Castro
<span title="">2019</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/qm5nunzmyva4tfjekdcm34uvhq" style="color: black;">2019 International Joint Conference on Neural Networks (IJCNN)</a> </i> &nbsp;
It uses a recursive learning algorithm to update its structure when new data items are provided and, therefore, is able to cope with nonstationarities.  ...  This paper presents an actively semi-supervised multi-layer neuro-fuzzy modeling method, ASSDRB, to classify different lighting conditions for driving scenes.  ...  Fig. 2 . 2 VGG-VD-16 -TOP 5 classification for Tunnel driving scene Therefore, the next step was to apply the proposed Actively Semi-Supervised Deep Rule-based classifier (ASSDRB) in order to classify  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ijcnn.2019.8851842">doi:10.1109/ijcnn.2019.8851842</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ijcnn/SoaresA0C19.html">dblp:conf/ijcnn/SoaresA0C19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kyjszcpyrbcvrip2qlhiq7qfua">fatcat:kyjszcpyrbcvrip2qlhiq7qfua</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200508004327/https://eprints.lancs.ac.uk/id/eprint/138728/1/Actively_Deep_Rule_based_Classifier_Applied_to_Adverse_Driving_Scenarios.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/75/0c/750caa78a153d82b9143a7128c31d6919160fc3f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ijcnn.2019.8851842"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Conceptual Extraction of Domain Knowledge Graph in Different Data Sources

HUI-ZHEN BIAN, SI HA
<span title="2018-03-08">2018</span> <i title="DEStech Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/52spf3of4jbu5da2xrhvubclcy" style="color: black;">DEStech Transactions on Computer Science and Engineering</a> </i> &nbsp;
All the industries and universities have built their own areas of knowledge graph, how to extract the concepts from different data sources becomes the key technology of knowledge graph construction, the  ...  This paper will illustrate the conceptual extraction methods of knowledge graph, in order to guide scholars to choose reasonable methods for academic analysis and enhance the application level of knowledge  ...  For this kind of semi-structured data should make full use of the structured information, for which the unstructured data, a text-based concept extraction method can be used.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.12783/dtcse/iceit2017/19850">doi:10.12783/dtcse/iceit2017/19850</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4qagp3eford7bgtamxclrpz3cu">fatcat:4qagp3eford7bgtamxclrpz3cu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721185757/http://www.dpi-proceedings.com/index.php/dtcse/article/download/19850/19338" 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/40/6e/406e2178590f2bd3fee25950a1bb62fe7bab2a66.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.12783/dtcse/iceit2017/19850"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Text Classification Techniques: A Literature Review

<span title="">2018</span> <i title="Informing Science Institute"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/osrw7zcn3ncvrli6nbunyykxde" style="color: black;">Interdisciplinary Journal of Information, Knowledge, and Management</a> </i> &nbsp;
The automation of text classification process is required, with the increasing amount of data and need for accuracy.  ...  Finally, the findings were plotted as a tree structure for visualizing the relationship between learning procedures and algorithms.  ...  DISCUSSIONS In general, text classification techniques form the basis for any knowledge discovery process. As they provide formal structure to raw data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.28945/4066">doi:10.28945/4066</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6dio5bpajjf77lkrs7xdtciveu">fatcat:6dio5bpajjf77lkrs7xdtciveu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190430215157/http://www.ijikm.org/Volume13/IJIKMv13p117-135Thangaraj3803.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/8e/83/8e8342d11ed223cfc32392cf8054c44a4d242408.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.28945/4066"> <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>

Web Mining Research: A Survey [article]

Raymond Kosala, Hendrik Blockeel
<span title="2000-11-22">2000</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
With the huge amount of information available online, the World Wide Web is a fertile area for data mining research.  ...  For the survey, we focus on representation issues, on the process, on the learning algorithm, and on the application of the recent works as the criteria.  ...  ] OEM 1 -2 -3 -4 Upgraded association rules Finding useful sub-structure in semi-structured data Wang and Liu [69] OEM 1 -2 -3 -4 Modified association rules Finding frequent sub- structures  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/cs/0011033v1">arXiv:cs/0011033v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/uczqoncgz5a6zndq2ezh7l62zm">fatcat:uczqoncgz5a6zndq2ezh7l62zm</a> </span>
<a target="_blank" rel="noopener" href="https://archive.org/download/arxiv-cs0011033/cs0011033.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> File Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9f/35/9f35b11762a877ea37d439c53ce43c9e9e391a11.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/cs/0011033v1" 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>

A Study on Software Metrics based Software Defect Prediction using Data Mining and Machine Learning Techniques

Manjula.C.M. Prasad, Lilly Florence Florence, Arti Arya3
<span title="2015-06-30">2015</span> <i title="Science and Engineering Research Support Society"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3ditg5diardybi4jjjavndg434" style="color: black;">International Journal of Database Theory and Application</a> </i> &nbsp;
techniquesare revisitedwhich are employed for software defect prediction using software metrics in the literature.  ...  The main objective of paper is to help developers identify defects based on existing software metrics using data mining techniques and thereby improve the software quality.In this paper, variousclassification  ...  The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further analysis.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14257/ijdta.2015.8.3.15">doi:10.14257/ijdta.2015.8.3.15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pk5okarex5g55df2e5uxorhp54">fatcat:pk5okarex5g55df2e5uxorhp54</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829150805/http://www.sersc.org/journals/IJDTA/vol8_no3/15.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/3d/45/3d453caa3fe1a954efd1ef8096048701f0257b6b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14257/ijdta.2015.8.3.15"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>
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