Individual essay le trung hieu AEn T122WSB 06 WSU21000053

Modern educational organizations assist decision-makers in obtaining the proper knowledge and making the best judgments via the use of new modern techniques such as data mining methods,

Individual essay

Le Trung Hieu Western Sydney University; University of Economics HCMC

T122WSB-06: Academic English

Gabriel Ryan April 11, 2022

Data extraction from educational domains is becoming increasingly important in today's world Modern educational organizations assist decision-makers in obtaining the proper knowledge and making the best judgments via the use of new modern techniques such as data mining methods, which are critical to the development and enhancement of the educational system (Veeramuthu and Periasamy 2014) We live in a world that is data-driven and information-rich Data mining,

according to Witten and Frank (2000), is a procedure for extracting previously unknown, usable, and intelligible knowledge from large and diverse data warehouses As technology becomes more interwoven in people's daily lives, data about their activities is being collected, accessed, and misused As a result, discussing data mining is crucial This article will cover all you need to know about data mining, including what it is, how it works, data mining techniques, the benefits it gives, data mining tools, and so on

Data mining has several advantages for corporations, communities, cultures, and citizens Data mining has grown in popularity as a result of the expanded and extensive usage of technology Companies are now examining their databases for trends, relationships, and consequences to

improve their overall operations and identify new patterns that may help them better serve their consumers The first is effective client relationship management It not only assists firms in

determining which kinds of customers to target with various items, but also assists businesses in determining alternative marketing techniques based on the demographics of their clients Customers follow current market trends, so marketing and retail are dependent on them These sectors may use data mining to uncover the right trends through market research, which helps them create marketing tactics It also enables them to foresee trends and goods that might be of interest to customers This aids businesses in deciding what sort of product to launch Data mining may be used to compare the information acquired about your firm with that of your top rivals One method that may be

employed is data mining You can enhance your marketing, provide better products and services, and even reinforce your brand using this information Data mining has several advantages in terms

of personalization and consistency with current and future customer demands As a result, a detailed understanding of the customer's behavior, qualities, and preferences is the only way to win and keep them Data mining may be beneficial to a variety of financial firms Banks and credit card

businesses can access loan information and determine a customer's creditworthiness It also aids credit card companies by supplying information on the scam The most significant advantages of data mining are that it aids financial firms in reducing their losses

However, there are certain disadvantages to consider With such a massive volume of data being created every day, it is self-evident that there will be significant costs connected with its storage and upkeep Your organization will require the right professionals to do data mining properly

Depending on the sort of data you want to gather, you may need to make an effort, or the initial investment in data collection tools may be prohibitively expensive Furthermore, businesses have access to a wealth of vital information on their customers and staff As a vast quantity of essential data is stored in data mining systems, there is always the risk of it being hacked Furthermore, it is well acknowledged that data mining collects data about people using market-based strategies Organizations collect data on their customers in a variety of ways to better understand their

purchase habits and much more However, collecting this information in an unethical manner and then utilizing it for personal advantage is a violation of user privacy Finally, data mining

technologies evaluate data without knowing what it means These patterns, however, are not

relevant in and of themselves, but only after the user has evaluated them Inconsistent or erroneous findings are the result of preprocessing problems In practice, improper data entry frequently causes issues It's hard to derive representative knowledge from non-representative consumer data, for example As a result, using erroneous information in decision-making might have catastrophic implications

Despite the fact that data mining is still in its infancy, firms across a wide range of industries, including retail, banking, health care, manufacturing, transportation, and aerospace, are already

utilizing data mining tools and techniques to exploit historical data (Liao et al., 2012) presented a state of the art in data mining that "concerns a series of works fulfilled throughout the past decade" Data mining lets analysts identify crucial facts, correlations, trends, patterns, exceptions, and anomalies that could otherwise go unnoticed by sifting through warehoused data using pattern recognition technology and statistical and mathematical methodologies Data mining is a technique for identifying patterns and correlations in data to aid in the making of better business choices Data mining may aid in the detection of sales patterns, the development of more effective marketing efforts, and the precise prediction of consumer loyalty For firms that use social listening, trend analysis may be a critical statistic Businesses, for example, might look at which subjects, mentions, and keywords are now popular on social media and use mining techniques to figure out why This insight may be incredibly telling; let me give you one of the most well-known instances of what I'm talking about Trend analysis allows us to perceive things from a fresh perspective and uncover hidden truths Even the social media networks that we use on a daily basis profit from data mining One way to do this is through the identification of social spam Bots are constantly exploiting weaknesses in these systems to send unpleasant, repetitive, and pointless content to consumers Because of how sophisticated automation has gotten, discovering and eliminating these bots might take some time

As a relatively new topic of research, social media data mining has produced several obstacles and issues in terms of its application for various objectives One of the most serious issues with its application is the question of whether or not mining social data is ethical As previously said, social media data mining makes use of a significant quantity of publicly available user-generated data, which implies that users have decided to publicly disclose their data and are aware that anybody may see what they've posted, commented on, or shared on social media platforms However, perceptions of what is "public" and "private" continue to differ, which, when combined with issues

of ownership and intellectual property, the difficulty of ensuring anonymity, and the difficulty of

obtaining consent through informed choice, all pose additional challenges for data

miners.Furthermore, the lack of a defined ethical framework for dealing with social media data adds

to the difficulty of collecting, analyzing, and presenting user-generated data

To conclude, for enterprises, researchers, and government agencies to benefit from the advantages

of social media data mining, clear ethical norms and regulations controlling the use of social data must be adopted In these days of big data, it is difficult to uncover data that is relevant to your objective As a result, data mining is a great way to speed up the process of analyzing and applying relevant data On the contrary, as previously said, it does have certain restrictions Though the benefits of data mining exceed the drawbacks, we urge you to think carefully before starting a new data mining project

Reference List

How to apply for an MBA: A student perspective Business Blogs - Social Media Data Mining:

Understanding What It Is and How Businesses Can Use It - University of San Diego (2020, April 3) Retrieved April 11, 2022, from https://www.sandiego.edu/blogs/business/detail.php? _focus=76022

Hoffman, J (2022, March 22) Know the pros and cons of Data Mining WisdomPlexus Retrieved

April 11, 2022, from https://wisdomplexus.com/blogs/data-mining-pros-cons/

Liao, S.-H., Chu, P.-H., & Hsiao, P.-Y (2012, February 27) Data mining techniques and

applications – a decade review from 2000 to 2011 Expert Systems with Applications

Retrieved April 11, 2022, from

https://www.sciencedirect.com/science/article/abs/pii/S0957417412003077

RMIT (n.d.) Retrieved April 11, 2022, from

https://www-sciencedirect-com.ezproxy.lib.rmit.edu.au/science/article/pii/S1872497309000155

Social Media Data Mining: What It Is, How It Works, and How to Use It | Blog | Whatagraph

Whatagraph.com (2022) Retrieved 11 April 2022, from

https://whatagraph.com/blog/articles/social-media-data-mining

Veeramuthu, P., & Periasamy, D R (2014) Application of higher education system for predicting student using data mining techniques Semantic Scholar Retrieved April 11, 2022, from

https://www.semanticscholar.org/paper/Application-of-Higher-Education-System-for-Student-Veeramuthu-Periasamy/8fd5a9336482eabaa707ad86c411f353114e3b25