Unsupervised anomaly detection is the process of finding outlying records in a given dataset without prior need for training. In this paper we introduce an anomaly detection extension for RapidMiner in order to assist non-experts with applying eight different nearest-neighbor and clustering based algorithms on their data. A focus on efficient implementation and smart parallelization guarantees ...

The aim of this study was to demonstrate construct validation of the haptic virtual reality (VR) dental simulator and to define expert benchmarking criteria for skills assessment. Thirty-four self-selected participants (fourteen novices, fourteen intermediates, and six experts in endodontics) at one dental school performed ten repetitions of three mode tasks of endodontic cavity preparation: ea...

In the Netherlands so-called Diabetes Care Groups organize the primary diabetes care centrally with delegation to different health care providers. A training course for general practitioners who would like to become experts in diabetology in the primary care setting meets the need to guide the quality management processes in these care groups.

Over the years a wealth of knowledge resources has been developed and collected in the Himalayan region, but very often the people who need these resources either don’t know that they exist or cannot access or understand them. Traditional methods of knowledge delivery are often not integrated with electronic sources of knowledge and means of transmission. The beekeeping project described here a...

This paper introduces a multi-label classification problem to the field of human computation. The problem involves training data such that each instance belongs to a set of classes. The true class sets of all the instances are provided together with their estimations presented by m human experts. Given the training data and the class-set estimates of the m experts for a new instance, the multil...

Speed reading training enhances one’s reading speed. Typically, those who train using the Park-Sasaki training method can read all the characters sequentially with the reading speed of over 10,000 characters per minute (about over 4,000 words per minute in English sentences). It means that they take in a huge amount of information during speed reading. Our study investigated the training effect...