NUCLEAR explosionsATMOSPHERIC transportRADIOACTIVITYRADIOISOTOPESIn the early years of nuclear explosion monitoring, experts used downwind detections with meaningful ratios of radioactive species to identify an explosion. Today's reality is sparse networks of radionuclide monitoring stations looking for weak ...
Anomaly detection is the process of identifying outliers or unusual data points that deviate significantly from the rest of the dataset. This technique is critical for spotting potential errors, fraud, or unusual trends that could indicate important changes in the data. It functions as a tool for ...
These four steps are essential to the data mining process. Types of data mining techniques Various techniques can be used to mine data for different data science applications. Pattern recognition is a common data mining use case, as is anomaly detection, which helps identify outlier values in ...
For example, when churn risk spikes, an automated email campaign would be automatically triggered in your marketing platform, offering personalized retention incentives. Types of Data Analytics Data analytics is typically categorized into four types: descriptive, diagnostic, predictive, and prescriptive. ...
Data science is all about extracting insights from complex information with the use of programming and other techniques.
GSP (Generalized Sequential Pattern): Identifies frequently occurring sequential patterns in transactional data. SPADE (Sequential Pattern Discovery using Equivalence classes): Discovers sequential patterns using a depth-first search approach. 6. Anomaly Detection ...
Anomaly detection is the process of identifying data points, entities or events that fall outside the normal range. An anomaly is anything that deviates from what is standard or expected. Humans and animals do this habitually when they spot a ripe fruit in a tree or a rustle in the grass ...
Data exfiltration occurs in two ways, through outsider attacks and via insider threats. Both are major risks, and organizations must ensure their data is protected by detecting and preventing data exfiltration at all times. An attack from outside the organization occurs when an individual infiltrates...
Data replication is the process of creating and maintaining multiple copies of the same data in different locations as a way of ensuring data availability, reliability and resilience across an organization. By replicating data from a source location to one or more target locations, replicas give an...
Data on its own is nothing but facts and figures. To be useful, raw data needs to be broken down, modeled, and interrogated to provide useful information. You'll discover how to do this and more in this complete guide. What is data analysis? Data analysis is a systematic process that ...