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Data mining is a very powerful and new technology that is recently<br>launched into the market. It have great potential to help companies so<br>that they can focus on the most important information in the data<br>collection about their potential customers. It discovers various<br>information within the data that reports canu2019t effectively reveal.<br>Data science students who are looking for data mining assignment help. At Dream Assignment we provide excellent homework help by the top writers in the USA. Visit Us at : https://www.dreamassignment.com/data-mining-assignment-help
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Topic 1: Fake news detection • With the advent of new technology it is easier to spread fake news like wild fire. So fake news detection is very important and necessary. In this project we need can learn how to detect fake news.
Topic 2:Detecting phishing website: • In recent times, technological advancement created a way for the development of e-commerce sites and most of the users started shopping online, for that they need to provide personal data like their, bank details user name, password, etc. Fraud stars and cyber criminals use this opportunity and create fake sites that look like the original. For that we need to develop an algorithm to detect phishing websites based on the characteristics like security and encrtyptioncriterias, url, domain identity, etc.
Topic 3: House price prediction • In this data mining project, you will utilize data science techniques like machine learning to detect any house price at any particular location. The project finds applications in real estate industries to predict a particular location.
Topic 4: Credit card fraud detection • With the increase in online transactions, credit card frauds have also increased. Banks are trying to handle the issue using data mining techniques. In this data mining project we will learn to predict parkinson’s disease using python.
Topic 5: Anime recommendation system • This project data set consists of information on user preferences among students. This project data set contains information on user preferences. Each and every user is able to add anime to their completed list and give it a rating and this data set is a collection of those ratings.
Topic 6: Fraud detection in Monetary transaction • Detecting fraud transactions is a very significant in today’s world where digital transaction have become an important part. In order to address this problem. A synthesis data is generated using Paysim simulator and is made to available at Kaggle. The data contains transaction details like transaction, customer initiating the transaction, old and new balance etc.
Conclusion • In conclusion I would like to conclude that the top trendiest data mining processes in 2023, that is very useful in many ways are- • Fake news detection • Detecting phishing website • House price prediction • Credit card fraud detection • Anime recommendation system • Fraud detection in monetary transactions
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