A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit <a rel="external noopener" href="https://www.interscience.in/cgi/viewcontent.cgi?article=1085&context=ijcsi">the original URL</a>. The file type is <code>application/pdf</code>.
<i title="Institute for Project Management Pvt. Ltd">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/amjkh7l5ijfvxip63iw3cqsjwq" style="color: black;">International Journal of Computer Science and Informatics</a>
The application of neural networks in the data mining has become wider. Data mining is the search for relationships and global patterns that exist in large databases but are 'hidden' among the vast amount of data, such as a relationship between patient data and their medical diagnosis. These relationships represent valuable knowledge about the database and the objects in the database and, if the database is a faithful mirror, of the real world registered by the database. Data mining refers to<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.47893/ijcsi.2013.1085">doi:10.47893/ijcsi.2013.1085</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gifdwx4clrhepolhnjcbfbnsfq">fatcat:gifdwx4clrhepolhnjcbfbnsfq</a> </span>
more »... sing a variety of techniques to identify nuggets of information or decision-making knowledge in bodies of data, and extracting these in such a way that they can be put to use in the areas such as decision support, prediction, forecasting and estimation. The data is often voluminous, but as it stands of low value as no direct use can be made of it; it is the hidden information in the data that is useful". In this paper, the data mining based on neural networks is researched in detail, and the key technology and ways to achieve the data mining based on neural networks are also researched.
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210103045507/https://www.interscience.in/cgi/viewcontent.cgi?article=1085&context=ijcsi" 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/d7/12/d712c69d962a276d2d50d93424d4a442f1ddcae0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.47893/ijcsi.2013.1085"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>