This book is a series of seventeen edited “student-authored lectures” which explore in depth the core of data mining (classification, clustering and association rules) by offering overviews that ...

Big data provides the raw material used in data mining. Big data can be either structured (often numeric, easily formatted, and stored) or unstructured (more free-form, less quantifiable).

This is the first comprehensive book dedicated entirely to the field of decision trees in data mining and covers all aspects of this important technique. Decision trees have become one of the most ...

Data mining is the process of extracting potentially useful information from data sets. It uses a suite of methods to organise, examine and combine large data sets, including machine learning ...

Mining Definition : Mining is a process of validating a cryptocurrency transaction by encrypting data and recording it in a blockchain. In simpler terms, mining is a way of putting cryptocurrencies ...

Abstract: This paper proposes to apply data mining techniques to predict school failure and dropout. We use real data on 670 middle-school students from Zacatecas, México, and employ white-box ...

Abstract: This paper focuses on continuous attributes handling for mining data stream with concept drift. Data stream is an incremental, online and real time model. Domingos and Hulten have presented ...

These findings can be used as a starting point for initiatives that aim to demarcate new frontiers of EPM. Keywords: Process mining, Educational process mining, Intelligent decision making, gaps on ...

Artificial intelligence specialist Owkin has added another piece to its medical research portfolio with the launch of ATLANTIS, a patient data mining programme, in partnership with 20 leading ...

We then make recommendations on the first topic on how to classify, define and diagnose hip disease in young and middle-aged active adults, with hip-related pain as the main symptom. Other papers in ...