IJRDO - Journal of Computer Science Engineering (ISSN: 2456-1843) https://ijrdo.org/index.php/cse <p>Subjects covered in Computer Science and Engineering include: Computer Science; Scientific Computing; Wireless Networking; Network Modelling; Computational Science &amp; Engineering; Theoretical Computer Science; Biosystems Engineering; Machine Learning; Systems Biology &amp; Bioinformatics; Biostatistics; Data Mining; Data Analysis; Internet Computing &amp; Web Services; Information System Engineering; Quantum Computing; Nano Computing; Soft Computing; Artificial Intelligence; Digital Signal Processing, Cloud Computing; Robotics; Computer Graphics; Information Science; Medical Image Computing; Natural language Processing; Evolutionary Computation.<br><span style="font-size: 1.5em;"><strong> <span style="color: #fcbd0f; text-shadow: #666666 0px 0px 3px;">Current Impact Factor: 2.562</span></strong></span></p> en-US IJRDO - Journal of Computer Science Engineering (ISSN: 2456-1843) 2456-1843 <p>Author(s) and co-author(s)&nbsp;jointly&nbsp;and severally represent and warrant that the Article is original with the author(s) and does not infringe any&nbsp;copyright or violate any other right of any third parties, and that the Article has not been published&nbsp;elsewhere.&nbsp;Author(s) agree to the terms that the <strong>IJRDO Journal</strong> will have the full right to remove the published article on any misconduct found in the published article.</p> Concept Lattice Theory in Data Mining and its Applications https://ijrdo.org/index.php/cse/article/view/2951 <p><span class="fontstyle0">Concept lattice has been proven to be a very eective tool and architecture for data mining in general. It is widely used for data analysis and knowledge discovery and various concept lattice based approaches are used depending on the type of data. This paper aims at presenting one application of the lattice theory : the text mining. In this approach, we applied the notion of lattice theory by using one of its components mostly used in data mining, the formal concept analysis which has a powerful method, the association rule extraction which helps to nd in a database patterns which appear frequently together.</span></p> KANINDA MUSUMBU Pascal SUNGU Nathalie WANDJI Copyright (c) 2019 IJRDO - Journal of Computer Science Engineering (ISSN: 2456-1843) http://creativecommons.org/licenses/by-nc-nd/4.0 2019-07-13 2019-07-13 5 7 01 10