IJRDO - Journal of Computer Science Engineering (ISSN: 2456-1843) 2019-09-01T12:34:38+00:00 Naeem Akhtar Open Journal Systems <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> Concept Lattice Theory in Data Mining and its Applications 2019-07-19T17:55:49+00:00 KANINDA MUSUMBU Pascal SUNGU Nathalie WANDJI <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> 2019-07-13T07:03:58+00:00 Copyright (c) 2019 IJRDO - Journal of Computer Science Engineering (ISSN: 2456-1843) Image Search Engine of Mono Image 2019-09-01T12:34:38+00:00 Mohammed Ali Asmaa Salah Aldin Ibrahim <p><strong><em>In recent year, images are widely used in many applications, such as facebook, snapchat. The large numbers of these images are saved in the smart system to easy access and retrieve. This paper aims to design and implement the new algorithm which is used in search of images. The mono image (black and white) is used as input data to the proposed algorithm. The methodology of this paper is to split image into number of block (block size = 8*8).&nbsp; For each block set 1 or 0 in order to count the number of black and white pixels.&nbsp; Finally, the result compare with other image dataset with the threshold value. The result show's that the proposed algorithm is successful passed in tested stage. </em></strong></p> 2019-09-01T12:34:38+00:00 Copyright (c) 2019 IJRDO - Journal of Computer Science Engineering (ISSN: 2456-1843)