Censoring weighted separate-and-conquer rule induction from survival data.

J-PMCRI: A Methodology for Inducing Pre-pruned Modular Classification Rules

Inducing rules from very large datasets is one of the most challenging areas in data mining. Several approaches exist to scaling up classification rule induction to large datasets, namely data reduction and the parallelisation of classification rule induction algorithms. In the area of parallelisation of classification rule induction algorithms most of the work has been concentrated on the Top ...

Parallel Rule Induction with Information Theoretic Pre-Pruning

In a world where data is captured on a large scale the major challenge for data mining algorithms is to be able to scale up to large datasets. There are two main approaches to inducing classification rules, one is the divide and conquer approach, also known as the top down induction of decision trees; the other approach is called the separate and conquer approach. A considerable amount of work ...

Computationally efficient induction of classification rules with the PMCRI and J-PMCRI frameworks

In order to gain knowledge from large databases, scalable data mining technologies are needed. Data are captured on a large scale and thus databases are increasing at a fast pace. This leads to the utilisation of parallel computing technologies in order to cope with large amounts of data. In the area of classification rule induction, parallelisation of classification rules has focused on the di...

Combining Divide-and-Conquer and Separate-and-Conquer for Efficient and Effective Rule Induction

A Hyper-Heuristic for Descriptive Rule Induction

Rule induction from examples is a machine learning technique that finds rules of the form condition → class, where condition and class are logic expressions of the form variable1 = value1 ∧ variable2 = value2 ∧... ∧ variablek = valuek. There are in general three approaches to rule induction: exhaustive search, divide-and-conquer, and separateand-conquer (or its extension as weighted covering). ...