The history of healthy city planning can be traced back to the beginning of the 19th century.
Since the industrialization period, the harsh living conditions of cities and the outbreak of …

Text mining refers to the process of deriving high quality information from text. It is used in
search engine, digital libraries, fraud detection, and other applications that handles text data …

This study describes two methods for real estate price prediction using text mining:
classification and regression. Both methods use stemmed n-grams (unigrams and bigrams) …

This interdisciplinary quantitative study examines how a text mining technique that is widely
used to understand financial market forecasts could also help in understanding North …

In the medical field, fake alarms are classically described as alarms with no clinical or
therapeutic effects. A variety of studies exist in the clinical literature regarding the alarms …

Random forests are a type of ensemble method which makes predictions by combining the
results of several independent trees. However, the theory of random forests has long been …

This dissertation contributes with novel predictive modelling approaches to data-driven
computational psychiatry and offers alternative analyses frameworks to the standard …

Abstract Data Mining (Data Knowledge Discovery) is the practice of examining large pre-
existing databases in order to identify patterns, establishing relationships, and to generate …

Every year tropical cyclones (TC) threaten or make landfall on the world's coastlines. The
most intense TC can cause extensive fatalities and property damage. To mitigate the tragic …