CRISP-DM has not been built in a theoretical, academic manner working from technicalprinciples, nor did elite committees of gurus create it behind closed doors.

Learning heterogeneous graph embedding for Chinese legal document similarity

After struggling with this problem for a while and still being far from solving this issue, I realized that I was making too many requests to the website; which made me come up with the idea of saving all the pages I needed to scrape on my local computer. Next, I started sending requests to these local HTML files instead and kept adapting my code.

“Data is the new oil,” she said. 

Data Mining und Knowledge Discovery in Databases be-inhalten Methoden der Informations- und Wissensextraktion aus strukturierten Datensätzen [99].

Educational Data Mining (EDM) and Learning Analytics (LA) are among the top buzzwords of the EdTech scene right now.

multiple scandals have highlighted some very shady practices being enabled by consent-less data-mining — making both the risks and the erosion of users’ rights clear

predictive analysis

Data mining can be defined broadly as: “the application of specific algorithms for extracting patterns from data.” [17]

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In addition, Neylon suggested that some low-level TDM goes on below the radar. ‘Text and data miners at universities often have to hide their location to avoid auto cut-offs of traditional publishers. This makes them harder to track. It’s difficult to draw the line between what’s text mining and what’s for researchers’ own use, for example, putting large volumes of papers into Mendeley or Zotero,’ he explained.

‘In the past, if you were an alcohol distiller, you could throw up your hands and say, look, I don’t know who’s an alcoholic,’ he said. ‘Today, Facebook knows how much you’re checking Facebook. Twitter knows how much you’re checking Twitter. Gaming companies know how much you’re using their free-to-play games. If these companies wanted to do something, they could.’

preferably

Encourage researchers not to transfer the copyright on their research outputs before publication.

I read my first books on data mining back in the early 1990's and one thing I read was that "80% of the effort in a data mining project goes into data cleaning."