Data mining is considered to be the mapping of entire data sets. Data mining is a subset of Machine Learning, Database Management system, and statistical methods. Under data mining, one may able to reallocate these data in the desired form for future use. One may have to consider various models and has to have sufficient knowledge about database management systems. It is too complex to analyze all at once and has an adequate understanding of entire topics. Therefore, it is often impossible to grasp all the experience according to data mining as it involves several classifications and hence, expert advice is required.
Need for expert assistance
One may think that opting for help in an assignment may make student logically dull. An analytical approach to a problem often reveals the key points to be considered. It is next to impossible that everybody will like every topic of data mining. As performance in a topic or subject is directly proportional to one’s affection towards subjects, if one does not like one issue, he cannot score a good grade in that topic. In other perspectives, due to a vast syllabus, one student cannot grasp everything in his class.
Moreover, a single professor chooses out of his choices about his topic of teaching. It is almost impossible for them to have expertise in every part of data mining. It is evident that, in the end, of course, a student has to submit a thesis on every topic. Thus it is inevitable that a topic or topics may appear, which his weak spot is. When he writes his theory based on this topic, he will reflect his loose understanding of this topic. The lack of factual data in his writing will prompt a professor of that topic to give him low marks. Subjective low marks mean low aggregate marks. To avoid this, a student may have to consult with experts. Moreover, these experts are considered among the best in their respective field, and thus they would be plagiarism free.
Data mining expert requirement
As mentioned above, data mining has many branches. The concept of database management systems, machine learning are required skills for a data mining expert. Knowledge of computer programming languages such as Oracle and SQL is required. There are several other database management systems available in the market. An expert has to compare all of their advantages and disadvantages and then give their opinion.