International Journal of Computer (IJC - Global Society of Scientific Research and Researchers, GSSRR)
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Clustering Data Text Based on Semantic
Get PDFClustering is one of the most important data mining techniques which categorize a large number of unordered text documents into meaningful and coherent clusters. Most of text clustering algorithms do not consider the semantic relationships between words and do not have the ability to recognize and use the semantic concepts.In this paper, a new algorithm has been presented to cluster texts based on meanings of the words. First, a new method has been presented to find semantic relationship between words based on Wordnet ontology then, text data is clustered using the proposed method and hierarchical clustering algorithm. Documents are preprocessed, converted to vector space model, and then are clustered using the proposed algorithm semantically. The experimental results show that the quality and accuracy of the proposed algorithm are more reliable than the existing hierarchical clustering algorithms
A Hybrid Machine Learning Approach for Credit Scoring Using PCA and Logistic Regression
Get PDFCredit scoring is one mechanism used by lenders to evaluate risk before extending credit to credit applicants. The method helps distinguish credit worthiness of good credit applicants from the bad credit applicants. Credit scoring involves a set of decision models and with their underlying techniques helps aid lenders in issuing of consumer credit. Logistic regression (LR) is an adjustment of linear regression with flexibility on its preposition of data and is also able to handle qualitative indicators. The major shortcoming of Logistic regression model is the inability to deal with cooperative (over fitting) effect of the variables. PCA is a feature extraction model that is used to filter out irrelevant un-needed features and hence, it lowers model training time and costs and also increases model performance. This study evaluates the shortcomings of simple models and proposes to develop an efficient and robust machine learning technique combining Logistic and PCA models to evaluate firms in the deposit taking SACCO sector. To achieve this, experimental methodology is adopted. The proposed hybrid model will be two staged. First stage will be to transform the original variables to get new uncorrelated variables. This will be done using Principal Component Analysis (PCA). Stage two is the use of LR on the principal component values to compute the credit scores. Inferences and conclusions were made based on the analysis of the collected data using Matlab.
A Secure Web Based Records Management System for Prisons: A Case of Kisoro Prison in Uganda
Get PDFMost Prisons in the developing countries are still using the traditional system – pen and papers, to keep track of their records. This system takes long to finish a single transaction; this has led to loss of information of some cases (crimes files), insecurity and data redundancy. Similarly, some cases have been reported where some prison staff connives with clients (victims) to change and hide some information or files hence leading to compromising the evidence of the matter. This has consequently resulted in time wastage to handle cases, increased corruption and insecurity of important files hence making the whole process costly. Also when reports are needed especially about prisoners, it takes a long time and therefore makes it hard for Prison Management to take urgent decisions. This has created a lot of loopholes in the system because there is no tracking and/or monitoring of the information available in the different Departments and there are no security measures in place to safe guard the available information. This necessitated automating the system to make it more efficient and effective. There was close study of the existing manual file based system that was in use, it was compared to the proposed system. A prototype of a proposed system was developed to ease data access, security and retrieval for instant report production by the prison management. The prototype was developed using MySql database, PHP, CSS, JavaScript and HTML
Context Based Indexing in Search Engines: A Review
Get PDFThere are so many increasing amount of information in the today’s World Wide Web. For these increasing amount of information we need efficient and effective index structure .Most indexing techniques directly matched terms from the documents and terms from query. Granting efficient and fast accesses to the index is a key issue for performance of web search engines. The main aim of search engine is to provide most relevant documents to the users in minimum possible time. Indexing is performed on the web pages after they have been gathered into a repository by the crawler. The existing architecture of search engine shoes that the index is built on the basis of the terms of the document. The context of the documents being collected by the crawler in the repository is being extracted by the indexer using the context repository, thesaurus and Ontology repository and then documents are indexed.
Integrating Fuzzy Concepts to Design a Fuzzy Data Warehouse
Get PDFIn this study, we attempt to design a fuzzy data warehouse. The classification elements to design the concerned fuzzy data warehouse are presented through the following tasks: identification of the target attribute, the linguistic terms, attribute of class membership, definition of the functions of membership, degree of attribute membership, definition of table of fuzzy classification and fuzzy membership. From all the above tasks, we present a method allowing to design a fuzzy data warehouse data. What enables us to design, starting from a traditional data warehouse, a fuzzy data warehouse, which takes into account, inaccuracy and other uncertainties inherent in the digital data constituting the data warehouse. The Fuzzy logic enables us to deal with this type of data without affecting the base of this data warehouse
Hough Transform and Chi-Square-Based Iris Recognition
Get PDFThe paper proposes a new iris recognition method based on canny edge detection, Hough transform, pseudo-polar coordinate, wavelet transform and chi-square algorithms. The iris image is firstly converted to greyscale before the edge detection, segmentation, normalization, feature extraction and feature matching operations are performed in sequential order. Feature extraction module uses wavelet transform-based approach to extract standard iris features while the feature matching module relies on chi square algorithm for reference and template-based feature matching. Analyses of the experimental results revealed satisfactory performance of the new method and its dependence on the quality of the hardware used for image acquisition. Comparison of obtained results with those from some existing iris recognition systems showed competitiveness and superiority of the new method
A Comparison Review of Indoor Positioning Techniques
Get PDFThe advances in positioning based technologies and the expanding significance of indoor positioning led to a growing business interest in location-based services. Today, most application requirements are real-time tracking of physical possessions inside structures precisely. The demand for indoor localization services has turned into a key essential in some markets. Moreover, indoor positioning technologies address the inadequacy of global positioning system inside a closed environment. This paper aims to provide the reader with a comparison review of different parameter that affects indoor localization. The comparison review is based on three techniques known as Angle of arrival (AoA), Time of arrival (ToA) and Fingerprinting techniques to deliver a better understanding of state-of-the-art of these techniques and inspire new research endeavours in this promising field. For this purpose, three localization positions and location estimation schemes are reviewed with a conclusion and future trends
Monitoring An Experimental Field Through A WebMapping Technology
Get PDFIn order to efficiently combat soil degradation and desertification in Ngaoundere-Cameroon, an ecological approach called ReviTec was establihed through an experimental demonstration site. In the light of the management of spatial data within the site, ReviTec® researchers have been encountering difficulties related to data collection, analysis and display on the plant growth processes. For a sustainable management of ReviTec activities, we propose in this research, a Geographic Information System coupled to the WebMapping, that makes easier the dissemination and manipulation of objects directly on a map. This system has enabled the view of items such as tree, islands, demi-lunes, bunds on the map where they are represented by points. For each structure, the system offers a visualization possibility by a simple click on “More Information” on plant species, treatment applied on plants, plant growth, image of plants, and biovolume of trees. Such an adapted and innovative technology is suggested to be implemented in other existing ReviTec sites in Cameroon for a better visualization of results obtained
A Review on Resemblance of User Profiles in Social Networks using Similarity Measures
Get PDFOnline Social Networking is increasing at a fast rate. There are lots of profiles of the users and there is too much resemblance between the user profiles which can help recruiter’s to select the best candidates for the Job Profile. Now, each similarity measure has its own applicability and best suited to a particular type of attribute values and if these measures are collectively combined then it can help us to find the best resemblance among the user profile ,the result of which matches to the actual result. In this paper, the discussion of the past studies is done and how our research is proposing a framework for finding the resemblance is being discussed.
Molecular Modeling of Debromolaurinterol Isolated from Sea hare (Aplysia kurodai) Using MOPAC Software
Get PDFThis study aimed to obtain a molecular model of a cytotoxic compound debromolaurinterol isolated by Tsukamoto et al. (2005) from sea hare (Aplysia kurodai) using Molecular Orbital Package (MOPAC) software. This semi-empirical approach was done by creating a Z-matrix of the molecule which was then converted to its MOPAC input data. Optimization of these data had provided the specific bond distance , bond angle, dihedral angle of the most stable molecular geometry. Furthermore, calculated energies like heat of formation (-6.75618 kcal/mol), ionization energy (8.80571 eV), electronic energy (-17,174.16327 eV) and core-core repulsion energy (14,651.44307 eV) were generated. The interatomic distances between atoms of the molecule were also provided that may greatly influence the physical and chemical properties. Finally, MOPAC calculations generated visual models of the most stable molecular geometry in stick, ball and stick, wireframe and space fill configuration. This study therefore provided new information which is very important for chemistry educators as well as biosynthetic chemist in designing possible chemical reactions in order to synthesize product or its derivative that are experimentally difficult to conduct.