Frequent Itemset Mining Implementations Repository. Real-time Discovery Engine - YourVersion: Discover Your Version of the Web™ Real-time Discovery Engine - YourVersion: Discover Your Version of the Web™ Real-time Discovery Engine - YourVersion: Discover Your Version of the Web™ Real-time Discovery Engine - YourVersion: Discover Your Version of the Web™ Data mining - Overwhelmed by Machine Learning---is there an ML101 book. Data Mining. In an era where computers are widespread in society, people are collecting all sorts of data, mostly in an attempt to enhance their understanding and insights into various processes. For example, companies and organisations are collecting data concerning the preferences and behaviours of their customers and clients, and use data-mining techniques to extract useful knowledge from these data.
Data Mining has close relationship to Statistics, Machine Learning, and Artificial Intelligence, and involves research into learning representations from data, the mathematics of learning, the process of data mining and knowledge discovery, and the construction and exploitation of software tools. This part of the Information Retrieval 2 course aims to convey the basic ideas underlying modern datamining and knowledge discovery from data, at the same time introducing you to some of the software tools used for data mining.
Lectures Practical and Tutorials Additional Resources.