Anomaly Detection with MIDAS
Author(s): Nunzio Logallo Originally published on Towards AI. How can we detect anomalies more accurately and faster? Anomaly detection in graphs is a severe problem finding strange behaviors in systems, like intrusion detection, fake ratings, and financial fraud. To minimize the effect …
Taking Into Account Temporal Aspects of Machine Learning Apps
Author(s): Ori Abramovsky Originally published on Towards AI. Temporal features require special handling, from how to split the training population to the way to define the task at hand. In some cases, it can even mean overfitting on purpose. Photo by Eunice …
Benford’s Law Meets Machine Learning for Detecting Fake Twitter Followers
Author(s): Erika Lacson Originally published on Towards AI. An illustration of Benford’s Distribution, Photo by Author. In the expansive digital landscape of social media, user authenticity is a paramount concern. As platforms like Twitter grow, so does the proliferation of fake accounts. …
Benford’s + Chi-Square to Detect Anomalies
Author(s): Konstantin Pluzhnikov Originally published on Towards AI. Let’s calculate some statistics to gain confidence in whether there is something suspicious in the data or not This member-only story is on us. Upgrade to access all of Medium. “Spatial anomaly” by Mike …
Local Outlier Factor (LOF) For Anomaly Detection
Author(s): Amy @GrabNGoInfo Originally published on Towards AI. LOF for novelty and anomaly detection This member-only story is on us. Upgrade to access all of Medium. Image Owned by GrabNGoInfo.com Local Outlier Factor (LOF) is an unsupervised model for outlier detection. It …
A Gaussian Approach to the Detection of Anomalous Behavior in Server Computers
Author(s): Navoneel Chakrabarty Originally published on Towards AI. Let’s detect the anomaly… Anomaly Detection is a different variant of Machine Learning Problems that falls under Semi-Supervised Learning. It is Semi-Supervised because, in Anomaly Detection (also popularly known as Outlier Detection), models often …
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