Data mining lectures

  • Data mining books

    Data mining—the process of analyzing large sets of data for trends and patterns—is one of the most in-demand data skills today.
    And so whether you're a data science professional looking to upskill, or if you're completely new to data, a data mining course can be a great way to boost your career..

  • Fundamentals of data mining

    It helps data scientists easily analyze enormous amounts of data quickly.
    Data scientists can use the information to detect fraud, build risk models, and improve product safety.
    It helps data scientists quickly initiate automated predictions of behaviors and trends and discover hidden patterns..

  • Fundamentals of data mining

    There are many different techniques that can be used for knowledge extraction, and the choice of method will depend on the type of data and the desired outcome.
    However, some common methods include rule-based systems, decision trees, and neural networks..

  • What do you understand by data mining?

    Definition: In simple words, data mining is defined as a process used to extract usable data from a larger set of any raw data.
    It implies analysing data patterns in large batches of data using one or more software.
    Data mining has applications in multiple fields, like science and research..

  • What is taught in data mining?

    Data mining is most commonly defined as the process of using computers and automation to search large sets of data for patterns and trends, turning those findings into business insights and predictions..

Jun 14, 2019Watch complete set of lectures here : https://www.youtube.com/playlist?list
Duration: 7:54
Posted: Jun 14, 2019
What techniques people apply on data? □ They apply data mining algorithms and discover useful knowledge. □ So, what are the some of 

What topics are covered in a data mining course?

Specific course topics include:

  1. pattern discovery
  2. clustering
  3. text retrieval
  4. text mining and analytics
  5. data visualization

The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp.

Can data mining be used in a university library?

Abstract: In view of characteristics of users' data in the university library and based on big data technology, in this paper we propose a data mining process and discuss some applications of data mining in the university library

How to learn data mining & data science?

Data mining and data science can be learned best by analyzing data of your own

However, to do it effectively, you must equip with robust statistical and machine learning theoretical basics

Some of the languages to learn are R, Python, and SQL

Also, try to learn the use of data mining and visualization tools

What topics are covered in a data mining course?

Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization

The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp


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