With the massive expansion of information technology, the demand for data mining also grew hugely. But data mining — or the process of wading through huge amounts of data and finding what you consider ...

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on technique for visualizing and clustering data. A self-organizing map (SOM) is a data structure that can be used ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Newer AI techniques and data mining, which traditionally use machine learning, together can ...

Almost 10 percent of U.S. residents now receive their healthcare from an accountable care organization.1 The momentum toward outcome-based reimbursement is starting to approach the tipping point. As ...

Solon Barocas is a postdoctoral research associate at the Center for Information Technology Policy at Princeton University. Andrew Selbst is the Alan Morrison Supreme Court Assistance fellow at Public ...

Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.

In recent years, China has undergone a period of urban growth that is unprecedented in human history. The number of square kilometers devoted to urban living grew from 8,800 in 1984 to 41,000 in 2010.

Identify the core functionalities of data modeling in the data mining pipeline. Apply techniques that can be used to accomplish the core functionalities of data modeling and explain how they work.