Web Based Department Automation System Essay

Describe the steps to be taken prior to inputting the data into the computerized system and how you would go about implementing the new system.

All necessary forms will be properly logged in the computer for the data base and for follow-up which will increase efficiency and reduce waste.

Employees and human resources (HR) are a business’ biggest asset. Appropriate management is important to a business the size of Riordan Manufacturing. Currently the company employs 550 employees globally. The HR database contains an enormous amount of information in all of the employees’ files and data regarding their respective careers at Riordan. The database should operate at peak performance at all times. The functionality of the current system is limited due to a quickly becoming outdated system compared to other systems that are currently available. The Information Technology (IT) department had been asked to analyze the current system and issue an analysis of the scope and feasibility of the project.

Data mining can cause more problems than it worth. It can be a useful marketing tool for businesses, but at the risk of major privacy threats. If the results can include security issues, false information, and cause inefficiencies on both ends, then it needs to be considered and improved. With the proposed solutions, data mining can become more secure, a less of a misguided problem. The solutions are extremely reasonable, it is just a matter of the government and data mining companies putting in effort to make them

Data mining is the process of discovering and interpreting meaningful, previously hidden patterns in data. Extensively used in financial services, customer relationship management and retail, data mining helps alleviate data overload, by extracting value from volume. Furthermore, the focus of data mining is on the process, not a particular technique, used to make reasonably accurate predictions. “The recent emergence of data mining technology to analyze vast amounts of data opens new threats to information privacy”. (Brankovic & Estivill-Castro 1999, Clifton & Marks 1996, Estivill-Castro, Brankovik & Dowe 1999) There are many pieces of academia some that will be identified in this paper that identify such privacy risks and the ethical and legal ramifications that acquiesce

With the increased and widespread use of technologies, interest in data mining has increased rapidly. Companies are now utilized data mining techniques to exam their database looking for trends, relationships, and outcomes to enhance their overall operations and discover new patterns that may allow them to better serve their customers. Data mining provides numerous benefits to businesses, government, society as well as individual persons. However, like many technologies, there are negative things that caused by data mining such as invasion of privacy right. This paper tries to explore the advantages as well as the disadvantages of data mining. In addition, the ethical and global issues regarding the use of data mining

Admission of students into university is an indispensable activity in every educational system. It is as old as education itself. At Caritas University, enrollment of more students into the school over the past few years have steadily increased the demand on the admission office. More applications resulted in heavier paper work and processing challenges. Every admission was routed through various departments for evaluation, and a manual admission process caused difficulty in admission processing and archiving. In order to speed up and simplify the admission process, the development of automated student admission processing system was

In recent years, privacy preserving data mining has become a hotspot in data mining. Today, the field of privacy has seen rapid advances in recent years because of the increase in the ability to store data. In particular, recent advances in the data mining field have led to increasing concerns about privacy. However, with the development of technologies, the emerging applications result in an accumulation of abundant personal privacy information, which will easily lead to the violence of personal privacy. Therefore, it is significant to study the privacy preserving data mining methods of new applications. Data mining is the process of extraction of data from a large database. Knowledge Discovery in Database (KDD) is another name of data mining. One of the most important topics in a research community is Privacy Preserving Data Mining (PPDM). It refers to the area of data mining that seeks to safeguard sensitive information from unsolicited or unsanctioned disclosure. The Success of Privacy Preserving data mining algorithms is measured in terms of its performance, data utility, level of uncertainty or resistance to data mining algorithms. The objective of privacy preserving data mining (PPDM) is to find a way to manipulate the dataset, so that the sensitive message can’t be disclosed in data mining.

In recent years, data mining has been viewed as a threat to privacy because of the widespread proliferation of electronic data maintained by [2] corporations. A number of techniques have been proposed for modifying or transforming the data in such a way so as to preserve privacy. The privacy preserving in data mining concerns the protection of confidential data from unauthorized users. The confidential data may be numerical, categorical or both. The protection of confidential data may give personal security to the workers of a company, government employers and sometimes it concerns with national security.

The main objective of the educational organization is to provide quality education to its students. One way to achieve the highest level of quality in higher education is by discovering knowledge for prediction on enrollment of students in a particular course, unfriendliness model in the traditional classroom teaching, recognition of unfair means used online examination, discovery of abnormal values in the result students leaves, prediction on the performance of students and so on. Knowledge is hidden among the set of educational data and can be extract by using data mining techniques.

Office automation systems are among the newest and most rapidly expanding computer based information systems. They are being developed with the hopes and expectations that they will increase the efficiency and productivity of office workers-typists, secretaries, administrative assistants, staff professionals, managers and the like. Many organisations have taken the First step toward automating their offices. Often this step involves the use of word processing equipment to facilitate the typing, storing, revising and printing of textual materials. Another development is a computer based communications system such as electronic mail which allows people to communicate in an electronic mode through computer terminals. An office automation system can be described as a multi-function, integrated computer based system that allows many office activities to be performed in an electronic mode.

Data mining techniques provide good results only if input data is accurate. But data collected from users are often inaccurate.Users may deliberately enter inaccurate information if they are asked to provide personal information because of their worry that information may be misused by organisation to harass them. So we need to find data mining techniques that encourages the user to provide accurate information by ensuring them that data mining techniques used will not voilate their privacy and also produce accurate mining results.

* Scan charts and other documents at the point of service, and automatically route them through verification, coding and billing workflows.

Our company needs a mission critical information technology system. We are going to develop a workflow system that will help in eradicating the bottlenecks we are experiencing in the current paper based system. The system is important to the business, as it will ensure integrated approval of hires, routing, approval of requests and expense reporting. To facilitate operations, we are going to have a single database for storage will be accessible from different locations (ITL Education Solutions, 2010).

Utilizing data mining as a part of advanced education is a late research field, there are numerous works here. That is a result of its possibilities to educational establishments an overview on educational data mining somewhere around 1995 and 2005. They reasoned that educational data mining is a guaranteeing territory of examination and it has a particular prerequisites not displayed in different spaces. Accordingly, work ought to be arranged towards educational space of data mining. A case study that utilized educational data mining to distinguish conduct of falling flat understudies to caution understudies at danger before last test of the year. An alternate case study of utilizing educational data mining as a part of Moodle course management system. They utilized each one stage as a part of data mining process for mining e-learning data. Additionally, educational data mining utilized by to foresee understudies ' last grade utilizing data gathered from Web based system. Utilizing educational data mining to recognize and after that upgrade educational process in higher educational system which can enhance their choice of making process.