Uses inductive statistics and concepts from nonlinear system identification to infer laws from large sets of data with low information density to reveal relationshhips, dependencies, and predictions of outcomes and behaviors..

Big Data

Explanation:

Data is growing at a phenomenal pace all around us. The inter-relationship between data contains important information about embedded relationships. With the availability of required computing power , these relationships can be inferred from the large datasets using techniques which are collectively known as Big Data analysis techniques. Examples include classification, regression, anomaly detection etc.

answer; i believe its called ; checks   and balances;

no, dan should reduce his discretionary spending. not long-term goals involve more planning than short-term goals do