The visual data mining process, seen in the first part of this two-part article, revealed patterns in four dimensions between cumulative gas well production and independent variables. "Jump ...

The application of data mining algorithms in animal weight prediction has emerged as a vital tool for modern livestock management. Advanced techniques such as Classification and Regression Trees (CART ...

Clinical Relevance of Noncoding Adenosine-to-Inosine RNA Editing in Multiple Human Cancers In total, 60 CDTs were necessary to cover the whole guideline and were driven by 114 data items. Data items ...

After earlier explaining how to compute disorder and split data in his exploration of machine learning decision tree classifiers, resident data scientist Dr. James McCaffrey of Microsoft Research now ...

Forbes contributors publish independent expert analyses and insights. I write about how to drive more value with data and analytics. Most organizations have invested heavily in using data to enhance ...

Decision trees are major components of finance, philosophy, and decision analysis in university classes. Yet, many students ...

The Master's of Professional Studies in Data Sciences and Applications program trains students in analytics, including standard methods in data mining and machine learning, so they will possess the ...

Develop interdisciplinary skills in data science and gain knowledge of statistical analysis, data mining, and machine learning from one of the nation’s top-ranked Tier 1 research institutions. Earn ...

LONDON--(BUSINESS WIRE)--Quantzig, a global analytics solutions provider, has announced the completion of their latest article on the benefits of big data in the transportation industry. Big Data at ...