Tag Archives: Database

Developing an Efficient Database for Property Valuation in Anambra State, Nigeria (Published)

It has been observed that it takes quite a lot of time to carry out professional real estate valuation practice in Anambra State due to dearth of relevant property market data. This results to undue delays in execution of valuation jobs, even when information and communication technology have made things faster and easier. This has also made many a valuer to carry out property valuation without minding the authenticity and accuracy of sources of market information. Sequel to this, the study developed a database for efficient property valuation in Anambra State. Survey design was used to generate data. A market data generation form was developed in line with professional format, and was used to generate data about property type, location, structural details, condition, accommodation and use, neighbourhood characteristics, market value and date of property transaction. The form aided in developing the database of market transactions in the study area using MySQL (My Structured Query Language) database software package .The result of the study showed that the causes of inaccessibility to property market data are lack of organized records, lack of regular market surveys, use of traditional filing systems and non use of computer technology. Similarly, the research proved that the use of MySQL database system can indeed ensure speed and accuracy of valuation exercises and reliability of valuation figures and opinions. Finally, a customized functional property market database was developed; and the database can be accessed on www.anambrapropertydatabase.com.The study, therefore, recommended that the database should be commercialized. Further studies should be carried out to include specialized properties in the development of this database in the area.

Keywords: DBMS, Database, Information Technology, property valuation

Awareness and Utilization of Databases Subscribed to by FUTO Library among FUTO Academic Staff (Published)

This paper is an attempt to study the issues of database Awareness and utilization by Academic Staff members in Federal University of Technology, Owerri with a view to study the exposure of Academics staff to the University’s subscribed database resources. It also aims to bring to light the challenges that confront the users and recommend some remedial measures for its improvement. A test-retest reliability method of two weeks interval was conducted, response obtained were subjected to Pearson Product Moment Correlation method and a reliability co-efficient of 0.78 was obtained. The Random Sampling Technique together with a Questionnaire was used for data collection on 100 out of a population size of 1,003 academic staff members and only 74 responded giving a response rate of 74 percent.Descriptive and inferential Statistics including Frequencies count, charts, mean score, Relative Important index (R.I.I) and Percentages were used in reporting the findings. The study confirmed that the level of awareness of the subscribed electronic information resources or databases by the Library Management is rather low as well as that of the level of utilization. The paper records that the reasons why academic staff members of the Federal University of Technology, Owerri use databases; were mainly for research (48%) and current awareness (49%). It suggests further for an improvement in the training of the academic staff members , efficient power supply, and access to facilities with high Internet speed and subscription to more databases (e-resources) by the University Library.

Keywords: Academic, Database, Subscribed, Utilization, awareness

Using Data Mining Techniques to Identify the Causes of Deaths in Al-Gedaref Hospital (Published)

Data mining technology extensively used in managing relationship through a variety of approaches. There are many tools and methods for analyzing mortality data. The mining technology is one of these tools. The research aims to illustrate the concept of data mining and causes of deaths in Gedaref hospital. The methodology of data mining which used in deaths files is used to integrate two algorithms which are (clustering and classification) to help Gedaref state hospital on prediction and decision making. The study also aims to indicate the level of the interest in the exploration areas and the components of the structure of the application of exploration concepts and tools. One can concluded that the large proportion of deaths is caused by Malaria especially between male’s students and employees in early ages 32 year who live in Kassab village in Gedaref. We also recommended that the hospital administration have to provide training programs to workers

Keywords: Cause of Death, Computer Application, Data mining, Database