Data Mining Essay Example | Topics and Well Written Essays - 1000 words

Data Mining - Essay Example Data mining has different components, but the most significant is defining the problem, evaluating the available data and developing predictive models. (b). Associations discovery for the commodities sold to consumers helps the retailer or other business to capture the unique identifier of a given product. Through capturing this information, the seller is able to analyze the data, so that they can learn the purchasing behavior of their customers. The information derived is used to support business-related strategies and applications like inventory management, marketing promotions and customer relations management. (c). Mining information on web usage is very important to the effective management of websites, planning the development of adaptive websites, administering business and support services, increasing personalization as well as analyzing the flow of network traffic. Further, fast business growth of businesses forces businesses and customers to face a different situation, wher e competition plays a major role in determining the strategies adopted by businesses (Greene, 2012). On the other hand, the customer is exposed to more options to choose from, therefore, will need to follow the businesses that depict more value. For example, through discovering that many customers of a given business come from teen customers, may help the company to adjust their targeting outlook, to ensure that it targets the focus group better. (d). Clustering analysis traces groups of data entities or objects that are similar in certain aspects. The members of the different groups are supposed to be more similar to other members, and different from the members of other clusters. The target of clustering is the discovery of high-quality groups, where inter-cluster similarity is lowest but intra-cluster similarity is highest. Through establishing the highest inter-cluster similarity, the characteristics of the members are used or viewed as the customer information that can be track ed or targeted to increase the impact of the business, among the given high-quality cluster. 2. The reliability of data mining algorithms can be done through the validation of data mining modes. The process involves the assessment of the performance of the mining models against real data. This is done through understanding the characteristics and the quality of the algorithms before deploying them into the production environment (Chung, & Gray, 1999). To determine the reliability of data mining algorithms, the deployment of different statistical validity measures is checked, towards determining whether there are issues in the model or the data. The reliability of data mining algorithms is determined through the scalability of the clustering techniques. This is particularly true, in the case of large data sets, where space and speed are high. For example – in the case that the algorithm –in the case of a database that contains millions of records, shows linear or close to linear time complexity, which demonstrates that the reliability of the algorithm is high. The reliability of the algorithm can be determined throug

Any student caught cheating on an examination should be automatically Essay

Any student caught cheating on an examination should be automatically dismissed from college - Essay Example College life is an unforgettable experience because it requires hard work and determination in studies and builds on a person’s future career. However, the promise students normally make to study hard normally changes because of the social life that carries them away from the significance of their future making them to lose concentration. Unfortunately, they only get serious when the examinations begin, which greatly affect their performance. Some students will always settle for average after realizing that a sociable individual cannot compete for every field (Berschback, 2011). On the other hand, there are students who are self-motivated who usually drive themselves in work hard. The last group of students would always want to sail with little or no effort perhaps because the social life and the stressful nature of either college life or lack of self-esteem have overwhelmed them. This group of students strives to find various ways of passing exams and achieving better grades through cheating especially during their final examinations. Cheating simply implies that a student is more concerned with personal gain. However, every student, given an opportunity, would want to cheat in order to gain high grade. If any case of cheating goes unpunished then it would imply that a student is being encouraged to cheat (Gardner et al., 2008). Students may be encouraged to cheat even more because of either less severe or no punishment. However, the form of punishment differs depending on the impact of cheating. Responsible authority should weigh on the best option or remedy that can be instilled on the cheating students. Automatic dismissal may not be the best punishment to be given to the cheating students. There are other options that are more effective and efficient than automatic dismissal (Lau et al., 2012). There are several things that encourage students to