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Data quality through knowledge engineering

Tamraparni Dasu, Gregg T. Vesonder, Jon R. Wright
<span title="">2003</span> <i title="ACM Press"> Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD &#39;03 </i> &nbsp;
We include a real-life case study.  ...  Traditionally, data quality programs have acted as a preprocessing stage to make data suitable for a data mining or analysis operation.  ...  Serious data quality errors occur when the data no longer reflect the real-life processes and the databases cannot serve the purpose they were designed for.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/956841.956844">doi:10.1145/956841.956844</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/542ezxaebnhp7gcnk2rnlaagny">fatcat:542ezxaebnhp7gcnk2rnlaagny</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20050430004203/http://www.mli.gmu.edu:80/teaching/fall-2003/KDD2003/Papers/S05p03.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/ef/18efff915f62961c87205897a7bd418d4c66cfde.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/956841.956844"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Data quality through knowledge engineering

Tamraparni Dasu, Gregg T. Vesonder, Jon R. Wright
<span title="">2003</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fqqihtxlu5bvfaqxjyvqcob35a" style="color: black;">Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD &#39;03</a> </i> &nbsp;
We include a real-life case study.  ...  Traditionally, data quality programs have acted as a preprocessing stage to make data suitable for a data mining or analysis operation.  ...  Serious data quality errors occur when the data no longer reflect the real-life processes and the databases cannot serve the purpose they were designed for.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/956750.956844">doi:10.1145/956750.956844</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/kdd/DasuVW03.html">dblp:conf/kdd/DasuVW03</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gwanvmp7ufdlfpi6mfeizdihya">fatcat:gwanvmp7ufdlfpi6mfeizdihya</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20050430004203/http://www.mli.gmu.edu:80/teaching/fall-2003/KDD2003/Papers/S05p03.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/ef/18efff915f62961c87205897a7bd418d4c66cfde.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/956750.956844"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Get another label? improving data quality and data mining using multiple, noisy labelers

Victor S. Sheng, Foster Provost, Panagiotis G. Ipeirotis
<span title="">2008</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fqqihtxlu5bvfaqxjyvqcob35a" style="color: black;">Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD 08</a> </i> &nbsp;
We examine the improvement (or lack thereof) in data quality via repeated labeling, and focus especially on the improvement of training labels for supervised induction.  ...  (iv) Repeatedly labeling a carefully chosen set of points is generally preferable, and we present a robust technique that combines different notions of uncertainty to select data points for which quality  ...  (We report values for p = 0.6, a high-noise setting that can occur in real-life training data. 7 ) Table 2 summarizes the results of the experiments, reporting accuracies averaged across the acquisition  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1401890.1401965">doi:10.1145/1401890.1401965</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/kdd/ShengPI08.html">dblp:conf/kdd/ShengPI08</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/n3t5a7rlarbhnmeo2trmlnja6i">fatcat:n3t5a7rlarbhnmeo2trmlnja6i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20101130032910/http://pages.stern.nyu.edu/~panos/publications/kdd2008.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/22/f5/22f516acc61967369ec29d4121c7b517d5f60e08.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1401890.1401965"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Knowledge Discovery Database (KDD)-Data Mining Application in Transportation

Fauziah Abdul Rahman, Mohammad Ishak Desa, Antoni Wibowo, Norhaidah Abu Haris
<span title="2014-08-20">2014</span> <i title="Institute of Advanced Engineering and Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jechwbgc2vf45k5gxfzblheir4" style="color: black;">Proceeding of the Electrical Engineering Computer Science and Informatics</a> </i> &nbsp;
Even though data mining has been successful in becoming a major component of various business processes and applications, the benefits and real-world expectations are very important to consider.  ...  In this paper, an understanding and a review of data mining (DM) development and its applications in logistics and specifically transportation are highlighted.  ...  to the first author to undertake a PhD research at Universiti Teknologi Malaysia (UTM).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11591/eecsi.v1.357">doi:10.11591/eecsi.v1.357</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gif4msav45djdkoxci25qbxwe4">fatcat:gif4msav45djdkoxci25qbxwe4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191111233410/http://journal.portalgaruda.org:80/index.php/EECSI/article/view/357/219" 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/4d/57/4d573fee735ffbf03863ae72a0d5af06f2557d37.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11591/eecsi.v1.357"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Data Cleaning in Knowledge Discovery Database-Data Mining (KDD-DM)

<span title="2019-11-22">2019</span> <i title="Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/h673cvfolnhl3mnbjxkhtxdtg4" style="color: black;">International Journal of Engineering and Advanced Technology</a> </i> &nbsp;
Data quality is a main issue in quality information management. Data quality problems occur anywhere in information systems. These problems are solved by Data Cleaning (DC).  ...  The Domain Driven Data Mining (DDDM) is one of the KDD methodology often used for this purpose. This paper review and emphasize the important of DC in data preparation.  ...  Data Cleaning in Knowledge Discovery Database-Data Mining (KDD-DM) DDDM was the second generation of KDD where Data Mining (DM) process attached together in the KDD life cycle to ensure a discover knowledge  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijeat.f1100.0986s319">doi:10.35940/ijeat.f1100.0986s319</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ee2dbyjkezatvkgma626iwijsy">fatcat:ee2dbyjkezatvkgma626iwijsy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191207184549/https://www.ijeat.org/wp-content/uploads/papers/v8i6S3/F11000986S319.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/e7/8b/e78b4a6da437b8dcc1cdef79374ba2f6262b9981.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijeat.f1100.0986s319"> <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>

THE EVOLUTION OF KDD: TOWARDS DOMAIN-DRIVEN DATA MINING

LONGBING CAO, CHENGQI ZHANG
<span title="">2007</span> <i title="World Scientific Pub Co Pte Lt"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ctczi3cdmjfarjhjbdobmuwpkm" style="color: black;">International journal of pattern recognition and artificial intelligence</a> </i> &nbsp;
The results show that domain-driven data mining has a potential for further enhancing the actionability of mined patterns in real-world situation.  ...  Traditionally, data mining is an autonomous data-driven trial-and-error process. Its typical task is to let data tell a story disclosing hidden information regarding a business issue.  ...  Data used in this paper is from Australian Centrelink and Capital Market CRC, AC3 and SIRCA.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1142/s0218001407005612">doi:10.1142/s0218001407005612</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6ln5hcaxefaftp44kjdywbpjy4">fatcat:6ln5hcaxefaftp44kjdywbpjy4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190226162313/http://pdfs.semanticscholar.org/73f6/6440ef1c6849037e1d81106482f5f48610d0.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/73/f6/73f66440ef1c6849037e1d81106482f5f48610d0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1142/s0218001407005612"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> worldscientific.com </button> </a>

SQL-Based KDD with Infobright's RDBMS: Attributes, Reducts, Trees [chapter]

Jakub Wróblewski, Sebastian Stawicki
<span title="">2014</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
A case study of large real-world data is presented. The paper also recalls some other examples of SQL-based data mining implementations.  ...  The main technical contribution of this paper is a complete framework for calculating short reducts using SQL queries on data stored in a relational form, without a need of any external tools generating  ...  Construction of New Attributes In many real-life KDD tasks the input data is given as a multitable relational database rather than a single decision table.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-08729-0_3">doi:10.1007/978-3-319-08729-0_3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/i4wt3l3tvbgrpih7ze35ahyabi">fatcat:i4wt3l3tvbgrpih7ze35ahyabi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170812095841/http://www.jakubw.pl/com/bib/2014_JRS.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/13/22/13227ecda1c2b14b9a15c2287be96b8a15e4a39a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-08729-0_3"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Community detection in large-scale social networks

Nan Du, Bin Wu, Xin Pei, Bai Wang, Liutong Xu
<span title="">2007</span> <i title="ACM Press"> Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis - WebKDD/SNA-KDD &#39;07 </i> &nbsp;
With respected to practical applications, ComTector is challenged with several real life networks including the Zachary Karate Club, American College Football, Scientific Collaboration, and Telecommunications  ...  in the real world.  ...  On one hand, data gathering and synthesis of G and R in real applications are rather complicated. Sometimes there would be even no enough attributes for the entities.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1348549.1348552">doi:10.1145/1348549.1348552</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7pqevhmf7rc3dofmvzrorzufg4">fatcat:7pqevhmf7rc3dofmvzrorzufg4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808075751/http://www.eq.ccu.edu.tw/files/20081103174646_3.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/29/33/293307a765bc92644f7ae73b41bab53fd62e0961.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1348549.1348552"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Intensive Preprocessing of KDD Cup 99 for Network Intrusion Classification Using Machine Learning Techniques [article]

Ibrahim Obeidat, Nabhan Hamadneh, Mouhammd Al-kasassbeh, Mohammad Almseidin
<span title="2018-10-05">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
It mainly focuses on the KDD preprocess part in order to prepare a decent and fair experimental data set.  ...  This research work illustrates how the Knowledge Discovery and Data Mining (or Knowledge Discovery in Databases) KDD dataset is very handy for testing and evaluating different Machine Learning Techniques  ...  In this report, a number of classifiers will be evaluated on the KDD dataset.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1805.10458v2">arXiv:1805.10458v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4ek5ko7n4vemhmdjfos2acnaku">fatcat:4ek5ko7n4vemhmdjfos2acnaku</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200901113118/https://arxiv.org/ftp/arxiv/papers/1805/1805.10458.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/ce/fbceba388bebf2701481be5411ad3978e85cddde.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1805.10458v2" 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>

Cross-training

Sunita Sarawagi, Soumen Chakrabarti, Shantanu Godbole
<span title="">2003</span> <i title="ACM Press"> Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD &#39;03 </i> &nbsp;
One uses Expectation Maximization (EM) [5] . The other uses Support Vector Machines [16, 7, 8] . Through a detailed experimental study using real-life and semi-synthetic data from Yahoo!  ...  A few examples will illustrate the current scenario.  ...  and Dmoz data and for writing a preliminary version of the A&S algorithm; to Ganesh Ramakrishnan, Deepa Paranjpe, and Roger Menezes for helping us clean the data; and to an anonymous reviewer for pointing  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/956755.956773">doi:10.1145/956755.956773</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5mzvstvob5ewvmcb6xgrggyxwy">fatcat:5mzvstvob5ewvmcb6xgrggyxwy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20120313023813/http://www.it.iitb.ac.in/~sunita/papers/kdd03.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/76/c6/76c6d3eef6f4b86d73eebd2b5f548e4de4de67f4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/956755.956773"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Mining e-commerce data

Ron Kohavi
<span title="">2001</span> <i title="ACM Press"> Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining - KDD &#39;01 </i> &nbsp;
Even with a good architecture, however, there are challenging problems that remain hard to solve (the Ugly). Lessons and metrics based on mining real e-commerce data are presented.  ...  For successful data mining, several ingredients are needed and e-commerce provides all the right ones (the Good).  ...  Section 6 discusses lessons learned and metrics based on mining real e-commerce data. Section 7 provides a summary.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/502512.502518">doi:10.1145/502512.502518</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/h2cskyfc4vdxpg2f7i3vkn32ti">fatcat:h2cskyfc4vdxpg2f7i3vkn32ti</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20030808101958/http://dblab.ewha.ac.kr:80/hsyong/teach/dbgrad/infosci-2002-1/papers/mining.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/b0/a7/b0a70ac76d50146d893da31bab7b118636b9001c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/502512.502518"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Intensive Pre-Processing of KDD Cup 99 for Network Intrusion Classification Using Machine Learning Techniques

Ibrahim Obeidat, Nabhan Hamadneh, Mouhammd Alkasassbeh, Mohammad Almseidin, Mazen Ibrahim AlZubi
<span title="2019-01-29">2019</span> <i title="International Association of Online Engineering (IAOE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bnz2cocfqbamzln5r7zndevxnu" style="color: black;">International Journal of Interactive Mobile Technologies</a> </i> &nbsp;
It mainly focuses on the KDD preprocess part in order to prepare a decent and fair experimental data set.  ...  This research work illustrates how the Knowledge Discovery and Data Mining (or Knowledge Discovery in Databases) KDD dataset is very handy for testing and evaluating different Machine Learning Techniques  ...  Bagging can be learned as a special scenario when m (tries) = P (number of predictors). Predict unlabeled classes based on a reassembled number of aggregation prediction number of trees.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3991/ijim.v13i01.9679">doi:10.3991/ijim.v13i01.9679</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vkfs6qmxprhljgyw63ni63mi5a">fatcat:vkfs6qmxprhljgyw63ni63mi5a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190428015628/https://online-journals.org/index.php/i-jim/article/download/9679/5416" 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/18/6b/186b6c1e39c613962fd91408bc8604910174135d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3991/ijim.v13i01.9679"> <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>

Join Optimization of Information Extraction Output: Quality Matters!

Alpa Jain, Panagiotis G. Ipeirotis, AnHai Doan, Luis Gravano
<span title="">2009</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6nlwwu55hrbtxnvepn5gtiqug4" style="color: black;">Proceedings / International Conference on Data Engineering</a> </i> &nbsp;
Real-world applications often require that the output of multiple IE systems be joined to produce the data of interest.  ...  We establish the accuracy of our analytical models, as well as study the effectiveness of a qualityaware join optimizer, with a large-scale experimental evaluation over real-world text collections and  ...  • We establish the accuracy of our output quality models and the effectiveness of our join optimization approach through an extensive experimental evaluation over real-life text collections and state-of-the-art  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icde.2009.138">doi:10.1109/icde.2009.138</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icde/JainIDG09.html">dblp:conf/icde/JainIDG09</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/p7at27xy2facrgz3w3wgq5fsxi">fatcat:p7at27xy2facrgz3w3wgq5fsxi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20100623004311/http://www.cs.columbia.edu/%7Egravano/Papers/2009/icde09.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/ae/d3/aed312d4247ea5d85dc17eba3c02b95d24ff127e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icde.2009.138"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Unsupervised KDD to creatively support managers' decision making with fuzzy association rules: A distribution channel application

Albert Orriols-Puig, Francisco J. Martínez-López, Jorge Casillas, Nick Lee
<span title="">2013</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5nsmaxrxgbg4naz5qugalliruy" style="color: black;">Industrial Marketing Management</a> </i> &nbsp;
This approach allows the discovery of interesting association rules, which can be linguistically interpreted, in large scale databases (KDD or Knowledge Discovery in Databases.)  ...  We then demonstrate its application to a distribution channel problem.  ...  KDD is a research field focused on the identification of potentially-valid patterns in data (Fayyad, Piatesky-Shapiro, Smyth, & Uthurusamy, 1996) , and it can be considered as one of the key BI technologies  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.indmarman.2013.03.005">doi:10.1016/j.indmarman.2013.03.005</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ae33bwfo5jbn3elzcvqaf2zaai">fatcat:ae33bwfo5jbn3elzcvqaf2zaai</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808095716/http://decsai.ugr.es/~casillas/downloads/papers/casillas-a30-imm13b.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/ca/e2/cae2448f1dd0988506e14561ce7812bae8e8fa28.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.indmarman.2013.03.005"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

A model for discovering customer value for E-content

Srinivasan Jagannathan, Jayanth Nayak, Kevin Almeroth, Markus Hofmann
<span title="">2002</span> <i title="ACM Press"> Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD &#39;02 </i> &nbsp;
Our contributions in this paper are threefold: (1) we develop a probabilistic model to describe customer behavior, (2) we develop a framework for pricing e-content based on basic economic principles, and  ...  In this work, we examine how to learn customer valuations in close to real-time.  ...  While it would be interesting to use real data to validate our model, such data does not exist.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/775107.775125">doi:10.1145/775107.775125</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pl4dfpcmlrg5jbyelnyorw7v6e">fatcat:pl4dfpcmlrg5jbyelnyorw7v6e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20050323004908/http://www.5of.us:80/markus/papers/sigkdd2002.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/70/67/7067c8a9456764e11a8af73da214a149a3ded6ed.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/775107.775125"> <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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