Data mining serves as a crucial field that leverages advanced algorithms to reveal hidden, yet
invaluable insights buried within extensive datasets. These algorithms are drawn from a
multitude of areas such as machine learning, artificial intelligence, pattern recognition, statistics,
and database systems, working together to facilitate a deeper understanding and analysis of data.
This course is designed to equip you with the foundational knowledge and hands-on experience
needed to delve into the expansive world of data mining. Whether you are looking to enhance
your skill set or embark on a new career path, this course will serve as a stepping stone to
achieving your goals. The curriculum encompasses a range of topics that will introduce you to
the core concepts and techniques prevalent in the field of data mining. These include:
 Association Rules: Understand the principles behind identifying rules that highlight
relationships between seemingly independent data in a database.
 Clustering: Learn about grouping a set of objects in such a way that objects in the same
group are more similar to each other than to those in other groups.
 Classification: Gain knowledge on the procedures for identifying the predefined class of
a new observation.
 Text Mining: Equip yourself with the skills needed to analyze and interpret large
collections of text data to extract meaningful information.
 Data Mining Applications: Explore the various practical applications of data mining
across different industries and sectors.

Data mining serves as a cruel field that leverages advanced algorithms to reveal hidden, yet
invaluable insights buried within extensive datasets. These algorithms are drawn from a
multiitude of areas such as machine learning, artistic intelligence, pattern recognition, statistics,
and database systems, working together to facilitate a deeper understanding and analysis of data.
This course is designed to equip you with the foundational knowledge and hands-on experience
needed to delve into the expandive world of data mining. Whether you are looking to enhance
Your skill set or embark on a new career path, this course will serve as a stepping stone to
achieving your goals. The curriculum encompasses a range of topics that will introduce you to
the core concepts and techniques prevalent in the field of data mining. These include:
 Association Rules: Understand the principles behind identifying rules that highlight
relationships between seemingly independent data in a database.
 Clustering: Learn about grouping a set of objects in such a way that objects in the same
group are more similar to each other than to those in other groups.
 Classification: Gain knowledge on the procedures for identifying the predefined class of
a new observation.
 Text Mining: Equip yourself with the skills needed to analyze and interpret large
collections of text data to extract meaningful information.
 Data Mining Applications: Explore the various practical applications of data mining
across different industries and sectors.

Pang-Ning Tan, Michael Steinbach, Vipin Kumar, Introduction to Data Mining, Addison Wesley

Pang-Ning Tan, Michael Steinbach, Vipin Kumar, Introduction to Data Mining, Addison Wesley