Business Intelligence and Data Mining have become hot buzzwords in the West. Using Google Insights for Search to “see what the world is searching for” (see image below), we can see that the popularity of these two terms seems to have stabilized (if you expand the search to 2007 or earlier, you will see the earlier peak and also that Data Mining was hotter for a while). Click on the image to get to the actual result, with which you can interact directly. There are two very interesting insights from this search result: Looking at the “Regional Interest” for these terms, we see that … Continue reading Analytics: You want to be in Asia
Image from http://www.slews.de Spatial data are inherently important in environmental applications. An example is collecting data from air or water quality sensors. Such data collection mechanisms introduce dependence in the collected data due to their spatial proximity/distance. This dependence must be taken into account not only in the data analysis stage (and there is a good statistical literature on spatial data analysis methods), but also in the design of experiments stage. One example of a design question is where to locate the sensors and how many sensors are needed? Where does explain vs. predict come into the picture? An interesting 2006 … Continue reading Designing an experiment on a spatial network: To Explain or To Predict?