Data Fusion and Data Mining Research Paper Example | Topics and Well Written Essays - 1500 words

Data Fusion and Data Mining - Research Paper Example Every day millions of data are being transmitted by the use of local area networks and the Internet. Aware of the voluminous demand for data storage, computer manufacturing firms regularly innovate file storage devices. They introduce new and more "intelligent" devices and gadgets to cope with this ever-escalating demand for storing and retrieving data.  Despite their success in solving the data storage problem, companies are still hoping to use technologies that will provide them clear information on what really is going on in their businesses. Storing and retrieving myriad chunks of data are not enough to solve pressing business problems. Businessmen need useful information out of these.  Owning data warehouses have partially solved this problem. A data warehouse is used to consolidate data found in different databases. This makes millions of data easily retrieved, interpreted, sorted and accessible by analysts. Though this device largely helps analysts, sorting and storing dat a are not enough to make most out of these data. They still cannot provide us with a clear picture of what is really going on in the firm and in the market (Alexander, n.d.).  Turning numerous data into significant information is the aim of one of the latest technological breakthroughs in computers known as data fusion and data mining. These technologies enable firms to automatically search millions of data that they receive every day "for patterns using tools such as classification, association rule mining, clustering, etc. (Data Mining, 2007)." Data fusion is the method of integrating "diverse data into a single, coherent representation of the tactical, operational or strategic situation (Cyr, 2006)." We can say that data fusion is the first step in data mining. To find patterns, one should consolidate huge chunks of data to find out their similarities. This is exactly what data fusion is doing. Data mining divulges strategically hidden patterns found in huge amounts of data usi ng high-end data analysis methods. It discovers new knowledge instead of testing assumptions that are suggested by users, which are being used by other business intelligence technologies (Sentient Information Systems, n.d.). It is an automated technology that allows exploration, analysis, and visualization of data of very large databases. Having the power to extract novel, implicit and actionable knowledge from large datasets, data mining is used for the discovery of non-obvious and finding out information and knowledge that can develop business processes. Having powerful capabilities makes data mining a very useful tool in business. It is used in sales/marketing, customer retention, buyer behavior, costing, quality control, inventory, and fraud (Williams, Hegland, and Roberts 1998).

Business information system Essay Example | Topics and Well Written Essays - 500 words - 1

Business information system - Essay Example of data that would be captured; date of birth, the year that the student commenced and completed their high school education, the units and courses that were taken by the student, the co-curriculum activities that the students engaged in, sex of the student, academic performance, and their career goals. As stated earlier, the recruiters have set the parameters defining the qualities, which they require from the students. After gathering the above information from the recruits, they will process the data and come up with tangible information that would aid in the recruiting process (Arthur 27). The following are examples of information, which would be processed from the above data; the average age that students start their high school education, the average number of years that students attend high school, the common and least common units and courses that the students take, the common and least common co-curriculum activities that the students engaged in, the sex composition of students in high school, and the average academic performance of the students. In particular, the processed information is an advantage to the recruiters in that, it brings to the light, the features exhibited by the student recruits. The two initial processes; data collection and data processing, gives way to a third imperative process; inference by the recruiters. Before the data collection process, the recruiters had defined the threshold that the recruits had to surpass. However, after processing the information and making some inferences, the recruiters can come to the realization that the threshold was either too high or too low. For instance, the recruiters would infer that, either the students spend more or fewer years in high school contrary to what they had thought. In this regard, they will have to raise or lower the minimum age of admitting students to the university. Secondly, the recruiters may infer that, the units and courses that the students have taken in high school