Martinez, Yacef, Kay, Al-Qaraghuli, & Kharrufa (2011) used data mining
techniques to analyze group interactions in collaborative educational context where they focus not only on the end product but on the process of the collaborative work itself.
of Nevada-Reno) introduces statistical data mining
concepts, describes methods from sampling to decision trees, demonstrates the features of user-friendly data mining
SAS tools, allows book users to download compiled data mining
SAS macro files, and helps them perform complete data mining
The problem of privacy-preserving data mining
has become more imperative in recent times due of the increasing capability to store personal data about users, and the increasing sophistication of data mining
algorithms to leverage this information.
Exciting knowledge discovery and research Tutorials and Exercises using Online Analytical Processing (OLAP) and data mining
tools through replication of actual original pay equity research by the author are included.
The acquisition strengthens Shore's data mining
technology and unstructured data capabilities and expands its product offerings to the biotechnology and medical and research sectors.
Business Analytics and Data Mining
Championship invited graduates and post-graduates from various colleges to participate in an exciting analytics challenge spread across three stages; Online Assessment, Problem Solving and Presentation.
is referred to the discovery of new and potentially valuable information from an extensive level of data and it has been employed in various fields.
The term "data mining
" is used quite broadly in the IT industry.
In this study data mining
is used to find relationships and rules, and the development trends of PV solar power generation management systems .
The Present Research Situation of Video Data Mining
Cluster Analysis and Data Mining
: An Introduction pairs a DVD of appendix references on clustering analysis using SPSS, SAS, and more with a discussion designed for training industry professionals and students, and assumes no prior familiarity in clustering or its larger world of data mining
Graphet Data Mining
has launched its new interactive website.
is a subfield of computer science; it is the practice and art of discerning patterns or useful information from large data sets.
With the development of data analysis and processing technique, organizations, industries and governments are increasingly publishing micro data (i.e., data that contain non aggregated information about individuals) for data mining
purposes, studying disease outbreaks or economic patterns.