-
Development Of An Information Retrieval System Using Tree-Structured Clustering
[FRSC Benue State] -
You can get the complete material / full content @ a service support fee of ₦4,500.00(10-USDT) only
-
- Contributor: mr-chris
- engagements: 201
- Case No: 188808pw
- Request PDF:
-
-
ABSRACT - [ Total Page(s): 1 ]Coming Soon
... Continue Reading
APPENDIX A - [ Total Page(s): 2 ]REGISTRATION PAGE ... Continue Reading
CHAPTER ONE - [ Total Page(s): 2 ]1.3 Justification for the StudyThis study provides a means of easy storage and retrieval of information of vehicles and their owners for the FRSC in Benue State. It eases the stress of searching through the entire directory when retrieving information on an existing record; it will ensure the provision of a clear statistics of vehicle owners in a particular local government in the state. The output of the study shall serve as a benchmark for the Federal Road Safety Corps on the application of tree structured clustering in information retrieval and the study will also serv ... Continue Reading
CHAPTER TWO - [ Total Page(s): 4 ]2.3 Hierarchical Agglomerative ClusteringHierarchical Agglomerative Clustering (compare) is a similarity based bottom-up clustering technique in which at the beginning every term forms a cluster of its own. Then the algorithm iterates over the step that merges the two most similar clusters still available, until one arrives at a universal cluster that contains all the terms.In our experiments, we use three different strategies to calculate the similarity between clusters: complete-, average- and single-linkage. The three strategies may be based on the same similarity meas ... Continue Reading
CHAPTER THREE - [ Total Page(s): 7 ]Quality improvement and cost reduction:platform.due to a central communicationv. Use of Less Space for Record Storage: There will be elimination of much space used in storing records by introducing a computer storage media (disks) which can keep vast volume of information in a less space.vi.Speed Optimization:This will eliminate the problems of time wasting in registering records, checking from one line to the next as well as preparing a revenue report which is faster than using manual process to do it.3.3 Requirement of the proposed (new) SystemIn the real computer computat ... Continue Reading
CHAPTER FOUR - [ Total Page(s): 2 ]CHAPTER FOURRESULT AND IMPLEMENTATION4.1 IntroductionSystems design could be seen as the application of systems theory to product development. According to Wikipedia it is defined as the process of defining the architecture, components, modules, interfaces, and data for a system to satisfy specified requirements.4.2 System RequirementIn developing any system, there is need to specify some system requirements for minimum performance. However, with respect to this work the system requirements are categorized based on the minimum software and hardware requirements. Below are the requi ... Continue Reading
CHAPTER FIVE - [ Total Page(s): 1 ]CHAPTER FIVESUMMARY, CONCLUSION AND RECOMMENDATION5.1 SUMMARYThis project work is aimed at providing a software model for grouping a set of related records in the Federal Road Safety Commission. The system has been designed to automate data for which vehicle owners are being registered. Consistency, reliability, fairness and quick turnaround time is ensured with the use of this system. Based on the model used in this software, further improvements can be made in order to include other features and parameters for registration.5.2 CONCLUSIONIn conclusion this research work has provid ... Continue Reading
REFRENCES - [ Total Page(s): 1 ]REFERENCES1. William B. Frakes and Ricardo Baeza-Yates.(1992). Information Retrieval Data Structures & Algorithms. Prentice-Hall, Inc. ISBN 0-13-463837-9.2. Ahmad, A. and Dey, L. (2007). A method to compute distance between two categorical values of some attributes in unsupervised learning for categorical data set.3. Anderberg M.R. (1973). Cluster Analysis for Applications. Academic Press, New York.4. Chandola Varun, Boriah Shyam and Kumar Vipin (2007). Similarity Measures for Categorical Data: A Comparative Evaluation and Study. Technical Report 07-0 ... Continue Reading
-
ABSRACT - [ Total Page(s): 1 ]Coming Soon
... Continue Reading
-