Microsoft SQL Server 2005 provides dramatically expanded data mining capabilities. This session introduces you to the possibilities of data mining and predictive analytics. Learn about the data mining ...

Data mining and knowledge discovery represent an integrative process through which large, complex and heterogeneous datasets are transformed into actionable insights. This field encompasses a series ...

B y the end of this course, you will be able to identify the key components of the data mining pipeline and describe how they're related. You will be able to identify particular challenges presented ...

*Frack that data, as the privacy advocates like to say nowadays. Authors can submit their papers in long or short version: Papers will be submitted via online reviewing systems. Please submit the ...

Submitted by Cisco Systems, Inc. This blog comes to us from Amber Yandow, a data science subject matter expert, coach, mentor, and instructor, who has worked with Cisco to develop Introduction to Data ...

ABSTRACT A high‐level introduction to data mining as it relates to surveillance of healthcare data is presented. Data mining is compared with traditional statistics, some advantages of automated data ...

Forbes contributors publish independent expert analyses and insights. I write about how to drive more value with data and analytics. As data becomes increasingly ubiquitous, companies are desperately ...

Introduction to Data Visualisation and Web Applications Using R This course introduces the key aspects of data visualisation using R, with applications of powerful R tools to generate clear graphics ...

Temporal data mining involves the extraction of meaningful patterns and trends from time-stamped data sets across diverse sectors such as finance, healthcare, environmental sciences and the Internet ...

This conference is the thirteen conference in a series of industrial conferences on Data Mining that will be held on yearly basis. Experts from different fields will present their applications and the ...