RSF - A New Tree Mining Approach with an Efficient Data Structure

Storing the discovered and/or defined rules in a repository will facilitate that these rules can be used in a systematic approach to various event log preparation activities (e.g.,

The aim of the proposed approach is to replace domain expert and offer explanations to the results (semi)automatically using external knowledge base and ontologies.. Let us use

To Further enhance the overall performance for entity and relation extraction and typing, We propose a novel domain-independent framework, called Co-Type (Xiang Ren, et al., 2017),

This book is about the tools and techniques of machine learning used in practical data mining for finding, and describing, structural patterns in data.. As with any burgeoning

It is an evolutionary search method based on genetic programming, but differs in that it starts searching on the smallest possible individuals in the population, and gradually

Research on this problem in the late 1970s found that these diagnostic rules could be generated by a machine learning algorithm, along with rules for every other disease category,

A good definition of data mining is that in Principles of Data Mining by David Hand, Heikki Mannila, and Padhraic Smyth (MIT Press, Cambridge, MA, 2001): “Data mining is the analysis

Note that quadratic and cross-product terms should be created in the SAS dataset before specifying them in the macro field; however, to fit a regression model with indicator