CLUSTERING DATA BASED ON INDICATIONS OF FINANCIAL MALFEASANCE

In various embodiments, systems, methods, and techniques are disclosed for generating a collection of clusters of related data from a seed to assist in detection of financial malfeasance. Seeds may be generated based on seed generation strategies or rules. Clusters may be generated by, for example, retrieving a seed, adding the seed to a first cluster, retrieving a clustering strategy or rules, and adding related data (such as trades, emails or chat messages) and/or data entities to the cluster based on the clustering strategy. Various cluster scores may be generated based on attributes of data in a given cluster, and the clusters may be displayed and ranked based on their scores. Various embodiments may enable an analyst to review clusters of trades, emails and/or chat messages that are the most likely to reveal financial malfeasance.