Storing and using the large data is not an issue, but getting the appropriate information from that data is quite a difficult job to do. The analysis of that collected data is made possible by many data mining techniques. In data mining we find the relation and patterns between the sets of items of larger relational databases which can help in predicting and improving the performance of the system. The relations between the data in data mining are found by a well-known approach, that is, association rule mining. Many association rules are found that relates the dependency of data on each other.
Later, this information was stored in a database to monitor the changes in the readings continuously. The real challenge for me was to analyze the pattern from the large amount of data being collected. This made me realize the importance of data mining tools for extracting desired information from a database. To facilitate my interest in data mining, I took up an online course on Python. My motivation further was its relevant libraries, which are widely used for data mining applications.
My intended major is computer science and engineering. When I was very young, I always wanted to have a computer in order to play computer games. Once I owned a computer I realized that there are a lot of things you can do with computers besides gaming. This influenced me to want to get a job working with computers. I come from China, due to the Chinese educational background, all the knowledge was passed from the teacher to student, it turned out that I memorize a lot of theory, but I do not know how to apply to the real world.
My biggest inspiration was and still is, the current society. We live in a generally tech-dominated society where the internet and smartphones are of absolute necessity. Another factor was the chairman of computer science department at my current community college. During the orientation, I remember him telling the incoming computer science students that we have the ability to work in any field, for there is always a need for computer science skills. This was fascinating to me since I prioritize gaining knowledge above anything else.
Consequently, I took part in a discussion group of senior high school teachers who motivated me to opt for computer science as my career. My conversance to computer science began after I secured admission in the Reva Institute of Technology and Management in Bengaluru. The excellent facilities, course and faculty have given me a firm background of the fundamentals of computer science. Having been introduced to the diverse aspects of computer science during the course of my undergraduate studies, I have found computer science most intellectually satisfying and stimulating. Personal satisfaction also plays a key role in my
Data Science – As we have already seen in the definition, data science is an intersection of multi-disciplinary activity. The major focus or purpose of data science is to extract meaningful, valuable and actionable insights from raw data using different analytical and computational techniques. The end goal still remains in efficient decision making and domain specific value addition, cost saving, increase in revenues etc. They accomplish this by using statistical methods, computational algorithms which may or not involve Machine Learning or Artificial Intelligence, which is imbibed with the domain or business expertise for extracting the best possible business outcome from the data. In short, the end product of data science is a data product.
This is why Data Mining has a somewhat mixed response from the researcher in this ﬁeld. If used correctly, it can be a powerful tool, holding the potential to fully exploit the exponentially increasing amount of available data, promising great advances in Astronomy. However, if misused, it can be little more than the black-box application of complex computing algorithms that may give little insight, and provide questionable results. Skepticism is not the only problem, now days there are Multi-Terabyte Sky Surveys and Archives which will soon reach Multi-Petabyte, Billions of Detected Sources, and Hundreds of Measured Attributes per Source. Below are the high lights of current trends of Observational Astronomy • Large digital sky surveys are becoming the dominant source of data in astronomy: currently 100 TB in major archives, and growing
I believe data mining techniques could be used to decide the Ballon d’ or winner which is an award for the world’s best player for the respective year. Depending on the number of successful passes, number of goals, number of assists and various other parameters this could be done. Observing these many applications of Computer Science in just one sport, I always wonder how many more real life applications can be had in Computer Science. It is almost impossible to imagine how the world would function in this modern era without computers. What I find the most interesting aspect of Computer Science is the unlimited possibility of trying out and the instant knowledge of the outcome that motivates one for further analysis of the underlying principle in question.
Every human domain from education, manufacturing, transport, entertainment, to healthcare is becoming better, safer, more economical, and even possible thanks to the contributions of computer science. However, being a computer science student isn’t easy at all. I doubted my decision to major in this discipline when I stepped into the computer science classes, lost in all kinds of terms and theories, or when I meddled in the codes and bugs, anxiously and exhaustedly. But this is the charm of computer science—problems keep mounting while solving them will give you a sense of achievement and push your knowledge to a higher level. It is a headache and a joy.