Association Rule Mining Assignment Essay
| Order ID |
53563633773 |
| Type |
Essay |
| Writer Level |
Masters |
| Style |
APA |
| Sources/References |
4 |
| Perfect Number of Pages to Order |
5-10 Pages |
Description/Paper Instructions
Association Rule Mining Assignment Essay
Association rule mining is a technique used in data mining and machine learning to discover interesting patterns or relationships within large datasets. It is particularly useful in analyzing transactional data, such as retail sales, where items are purchased together. Association rule mining aims to uncover associations between different items, revealing which items are frequently bought together and capturing the dependencies or co-occurrences in the data.
The process of association rule mining involves several steps. First, the dataset is prepared and preprocessed to ensure data quality and remove noise. Then, frequent itemsets are identified, which are sets of items that appear together in a significant number of transactions. The frequent itemsets are generated using an algorithm such as the Apriori algorithm or the FP-Growth algorithm.
The Apriori algorithm is one of the most widely used algorithms for association rule mining. It works by iteratively generating candidate itemsets of increasing length and pruning those that do not meet the minimum support threshold. The support of an itemset is the proportion of transactions in the dataset that contain that itemset. The algorithm terminates when no more frequent itemsets can be generated.
Once the frequent itemsets have been identified, association rules are generated from them. An association rule consists of an antecedent (or left-hand side) and a consequent (or right-hand side). The antecedent and consequent are itemsets, and the rule indicates that if the antecedent occurs in a transaction, the consequent is likely to occur as well. The rules are evaluated based on various measures, such as support, confidence, and lift.
Support is the proportion of transactions that contain both the antecedent and the consequent. Confidence is the conditional probability of the consequent given the antecedent and represents the reliability of the rule. Lift measures the strength of the association between the antecedent and the consequent, taking into account the expected frequency of the consequent if it were independent of the antecedent. Higher lift values indicate stronger associations.
Association rules can be further refined by applying additional constraints or measures. For example, the minimum support and confidence thresholds can be adjusted to control the number and quality of the rules generated. Other measures, such as conviction and leverage, can provide additional insights into the relationships between items.
Once the association rules have been generated, they can be interpreted and used for various purposes. In retail, for instance, the rules can be used for market basket analysis to understand customer behavior and make informed decisions regarding product placement, cross-selling, or targeted marketing campaigns. In healthcare, association rule mining can be used to analyze patient data and discover associations between symptoms and diseases, supporting clinical decision-making.
However, association rule mining has certain limitations. It suffers from the “curse of dimensionality,” meaning that as the number of items or attributes in the dataset increases, the number of possible itemsets grows exponentially, making the mining process computationally expensive. Additionally, association rule mining does not capture causal relationships but rather identifies co-occurrences and dependencies in the data.
In conclusion, association rule mining is a valuable technique for discovering interesting patterns and associations in large datasets. By identifying frequent itemsets and generating association rules, it provides insights into the relationships between items or attributes. Despite its limitations, association rule mining has numerous applications in various domains, enabling businesses and researchers to gain valuable knowledge from transactional data and make data-driven decisions.
Association Rule Mining Assignment Essay
|
RUBRIC
| QUALITY OF RESPONSE |
NO RESPONSE |
POOR / UNSATISFACTORY |
SATISFACTORY |
GOOD |
EXCELLENT |
| Content (worth a maximum of 50% of the total points) |
Zero points: Student failed to submit the final paper. |
20 points out of 50: The essay illustrates poor understanding of the relevant material by failing to address or incorrectly addressing the relevant content; failing to identify or inaccurately explaining/defining key concepts/ideas; ignoring or incorrectly explaining key points/claims and the reasoning behind them; and/or incorrectly or inappropriately using terminology; and elements of the response are lacking. |
30 points out of 50: The essay illustrates a rudimentary understanding of the relevant material by mentioning but not full explaining the relevant content; identifying some of the key concepts/ideas though failing to fully or accurately explain many of them; using terminology, though sometimes inaccurately or inappropriately; and/or incorporating some key claims/points but failing to explain the reasoning behind them or doing so inaccurately. Elements of the required response may also be lacking. |
40 points out of 50: The essay illustrates solid understanding of the relevant material by correctly addressing most of the relevant content; identifying and explaining most of the key concepts/ideas; using correct terminology; explaining the reasoning behind most of the key points/claims; and/or where necessary or useful, substantiating some points with accurate examples. The answer is complete. |
50 points: The essay illustrates exemplary understanding of the relevant material by thoroughly and correctly addressing the relevant content; identifying and explaining all of the key concepts/ideas; using correct terminology explaining the reasoning behind key points/claims and substantiating, as necessary/useful, points with several accurate and illuminating examples. No aspects of the required answer are missing. |
| Use of Sources (worth a maximum of 20% of the total points). |
Zero points: Student failed to include citations and/or references. Or the student failed to submit a final paper. |
5 out 20 points: Sources are seldom cited to support statements and/or format of citations are not recognizable as APA 6th Edition format. There are major errors in the formation of the references and citations. And/or there is a major reliance on highly questionable. The Student fails to provide an adequate synthesis of research collected for the paper. |
10 out 20 points: References to scholarly sources are occasionally given; many statements seem unsubstantiated. Frequent errors in APA 6th Edition format, leaving the reader confused about the source of the information. There are significant errors of the formation in the references and citations. And/or there is a significant use of highly questionable sources. |
15 out 20 points: Credible Scholarly sources are used effectively support claims and are, for the most part, clear and fairly represented. APA 6th Edition is used with only a few minor errors. There are minor errors in reference and/or citations. And/or there is some use of questionable sources. |
20 points: Credible scholarly sources are used to give compelling evidence to support claims and are clearly and fairly represented. APA 6th Edition format is used accurately and consistently. The student uses above the maximum required references in the development of the assignment. |
| Grammar (worth maximum of 20% of total points) |
Zero points: Student failed to submit the final paper. |
5 points out of 20: The paper does not communicate ideas/points clearly due to inappropriate use of terminology and vague language; thoughts and sentences are disjointed or incomprehensible; organization lacking; and/or numerous grammatical, spelling/punctuation errors |
10 points out 20: The paper is often unclear and difficult to follow due to some inappropriate terminology and/or vague language; ideas may be fragmented, wandering and/or repetitive; poor organization; and/or some grammatical, spelling, punctuation errors |
15 points out of 20: The paper is mostly clear as a result of appropriate use of terminology and minimal vagueness; no tangents and no repetition; fairly good organization; almost perfect grammar, spelling, punctuation, and word usage. |
20 points: The paper is clear, concise, and a pleasure to read as a result of appropriate and precise use of terminology; total coherence of thoughts and presentation and logical organization; and the essay is error free. |
| Structure of the Paper (worth 10% of total points) |
Zero points: Student failed to submit the final paper. |
3 points out of 10: Student needs to develop better formatting skills. The paper omits significant structural elements required for and APA 6th edition paper. Formatting of the paper has major flaws. The paper does not conform to APA 6th edition requirements whatsoever. |
5 points out of 10: Appearance of final paper demonstrates the student’s limited ability to format the paper. There are significant errors in formatting and/or the total omission of major components of an APA 6th edition paper. They can include the omission of the cover page, abstract, and page numbers. Additionally the page has major formatting issues with spacing or paragraph formation. Font size might not conform to size requirements. The student also significantly writes too large or too short of and paper |
7 points out of 10: Research paper presents an above-average use of formatting skills. The paper has slight errors within the paper. This can include small errors or omissions with the cover page, abstract, page number, and headers. There could be also slight formatting issues with the document spacing or the font Additionally the paper might slightly exceed or undershoot the specific number of required written pages for the assignment. |
10 points: Student provides a high-caliber, formatted paper. This includes an APA 6th edition cover page, abstract, page number, headers and is double spaced in 12’ Times Roman Font. Additionally, the paper conforms to the specific number of required written pages and neither goes over or under the specified length of the paper. |
|
|
 GET THIS PROJECT NOW BY CLICKING ON THIS LINK TO PLACE THE ORDER
You Can Also Place the Order In www.perfectacademic.com/orders/ordernow / www.essaysolver.com/orders/ordernow
|
| Do You Have Any Other Essay/Assignment/Class Project/Homework Related to this? Click Here Now [CLICK ME] and Have It Done by Our PhD Qualified Writers!! |
|
 |
PLACE THE ORDER WITH US TODAY AND GET A PERFECT SCORE!!!
Do You Have Any Other Essay/Assignment/Class Project/Homework Related to this? Click Here Now [CLICK ME] and Have It Done by Our PhD Qualified Writers!!
Why Work With Us!!
Tired of getting an average grade in all your school assignments, projects, essays, and homework? Try us today for all your academic schoolwork needs. We are among the most trusted and recognized professional writing services in the market.
We provide unique, original and plagiarism-free high quality academic, homework, assignments and essay submissions for all our clients. At our company, we capitalize on producing A+ Grades for all our clients and also ensure that you have smooth academic progress in all your school term and semesters.
High-quality academic submissions, A 100% plagiarism-free submission, Meet even the most urgent deadlines, Provide our services to you at the most competitive rates in the market, Give you free revisions until you meet your desired grades and Provide you with 24/7 customer support service via calls or live chats.
