Anomaly Detection
Machines are haunted by the curse of dimensionality
The curse of dimensionality comes into play when we deal with a lot of data having many dimensions or features. The dimension of the data is the number of characteristics or columns in a dataset. High-dimensional data has several challenges, the most notable of which is that it becomes extremely
“I often warn data analysts not to underestimate the power of small data” – Interview with Data Mining Consultant Rosaria Silipo
Rosaria has been a researcher in applications of Data Mining and Machine Learning for over a decade. Application fields include biomedical systems and data analysis, financial time series (including risk analysis), and automatic speech processing. She is currently based in Zurich, Switzerland. What project have you worked on do you
Visual Cues in Big Data for Analytics and Discovery
One of the most fun outcomes that you can achieve with your data is to discover new and interesting things. Sometimes, the most interesting thing is the detection of a novel, unexpected, surprising object, event, or behavior – i.e., the outlier, the thing that falls outside the bounds of your original expectations,
