Big data and machine learning are powering some of today's ... This works particularly well in the chapter on text mining, which works through an extended example about Jeopardy!

text mining and NLP require data retrieval and mining, machine learning, statistics and computational linguistics. Coding tools such as Python are used to program machines to analyze text from ...

This is an example of how a peripheral measure identified with machine-learning strategies ... the farming (vs mining) paradigm is the incentive to the end-users who submit data to the ‘farm ...

Finds patterns in text, flat files ... requires minimal programming knowledge to use. It integrates machine learning and data mining components through modular data pipelining.

The MLDM´2018 conference is the fourteenth event in a series of Machine Learning and Data Mining meetings. The aim of MLDM is to bring together from all over the world researchers dealing with ...

As industries and companies are increasingly relying on data mining and data analysis ... which utilises machine learning to understand text or speech. A similar algorithm, called clustering ...

The Mining Lab aims to build statistical models to tackle hard learning problems with limited labels in knowledge-rich domain (e.g., medicine and bioinformatics). Two central research themes: - ...