The often cited Moore's law is as relevant to data analysis as it is to cpu power. Place is devoted to developing practical solutions for data surveillance and analysis which are based on the latest machine learning, statistical analysis and data mining techniques.
The choice of the most appropriate combination of tools depends on the data and your business goals. We can use techniques such as:
- Complex Event Processing (CEP), which is a powerful technology for the analysis of event streams in real time to detect patterns. The method can be considered as the inverse of querying a database where, instead of running queries against stored data, you store queries and run the data through them.
- Baysean Belief Networks to find networks of causal relationships.
- Association rules, sometimes called basket analysis because it is often used to connect the purchase of an item to another.
- Cluster analysis, which looks for groups of related items, such as peer groups
- Link Analysis which is often used to look for links between individuals or transactions.