This module starts with an overview of data mining methods, then focuses on frequent pattern analysis, including the Apriori algorithm and FP-growth algorithm for frequent itemset mining, as well as ...

The algorithm we use (Chemtok) has the extra benefit of being chemically aware, so will keep names, such as 1,1,1-trichloroethane, together. Through their own work with text and data mining, our data ...

8. Decision trees. Decision trees use real data-mining algorithms to help with classification. A decision-tree process will generate the rules followed in a process. Decision trees are useful for ...

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms. Proteomics ...

including the concepts and techniques of data mining, machine learning and natural language processing. The course covers both theoretical and practical aspects using a range of software tools and ...