10 Data Analytics / Mining / and Business Analytics Related Topics

Ten topics for preparing a predictive Analytics white paper (most popular data analytics research topics for your final year seminar). If you want more details on data mining, please refer to this: Data Mining Seminar Report. You can also find several articles related to artificial intelligence here: AI Seminar Topics.

Related: Data Science Seminar Topics

What are the trending topics related to Predictive Analytics and data mining?

Here is the list of currently trending predictive analytics-related topics [ as of 2024 ]:

  • Chat GPT and Accounting
  • Open AI Chat GPT
  • AI Data Analytics
  • Machine learning in software
  • Prescriptive analytics – Prescriptive analytics is about making predictions and recommendations based on data. By analyzing past data and trends, businesses can make more informed decisions about the future. This analytics type can help enterprises optimize their operations, use resources, and improve customer satisfaction.
  • Google Computer vision
  • Python programming language usage in Data Mining
  • Visualization – Data visualization
  • Regression analysis – It’s a statistical technique that’s used to model relationships between variables.
  • Data set
  • Structure of Data
  • Management of Data
  • Decision-making using Data
  • Computers and information technology
  • Data and information visualization
  • Data governance
  • Data Scraping
  • Organization of Data
  • Unstructured data
  • Automated Machine Learning, or AutoML – Automated machine learning is the process of automating the tasks of applying machine learning to real-world problems.
  • Applications of Artificial Intelligence
  • Statistical classification – As we all know, classification separates items into groups based on specific characteristics. In statistics, classification is assigning data to classes based on statistical properties. There are many different ways to classify, each with advantages and disadvantages.

Are you new to Data Mining? Refer to the Data Mining technical whitepaper. I will write more articles about these topics in the coming days to help you prepare your white papers.

The significance of Data Mining related technologies today.

The following image illustrates why Hadoop/Big Data is essential to you today.

Related Topics

Here are some real-time uses of Data Mining

  • Develop a data mining algorithm to identify patterns and trends in large datasets.
  • Data mining techniques can be used to identify customer behaviour and preferences, which can then be used to tailor marketing strategies.
  • Analyze social media data to identify trends and patterns in user behaviour.
  • Data mining can be used to identify anomalies or outliers in large datasets, which can be investigated further.
  • Use data mining to predict future trends or events based on historical data.
  • Develop a recommendation engine using data mining techniques to suggest products or content to users based on their past behaviour and preferences.
  • Use data mining to identify potential fraud or security breaches in financial transactions.
  • Analyze healthcare data to identify patterns and trends in patient outcomes and treatment effectiveness.
  • Use data mining to optimize supply chain management by identifying trends in demand and supply.
  • Develop a predictive maintenance system using data mining to identify potential equipment failures before they occur.

Collegelib.com prepared and published this curated list of technologies to prepare engineering topics. Before shortlisting your topic, you should do your research in addition to this information. Please include Reference: Collegelib.com and link back to Collegelib in your work.

This article was initially published on Collegelib in 2012 and is regularly updated.