Unauthorized Disbursements
A disbursement is a payment made on behalf of another person for which reimbursement in the future is expected. An unauthorized disbursements could be defined as an amount of disbursements or expenditures made without any authorized approval. Unauthorized disbursements include five type of categories which are; check tampering, billing schemes, payroll schemes, register disbursements, and also expense reimbursement schemes.
Unauthorized use of assets
Unauthorized use of assets describes the intentional, illegal use of the property or funds of another person for one's own use or other unauthorized purpose, particularly by a public official, a trustee of a trust, an executor or administrator of a deceased person's estate, or by any person with a responsibility to care for and protect another's assets.
Unauthorized Withdrawals
Unauthorized Withdrawal refers to the withdrawal or transfer of funds from an individual's banking account without proper authorization or consent by the individual.
Underdelivery
It is the delivery of less impressions, visitors, or conversions than contracted for a specified period of time. Underdelivery can occur for a variety of reasons. A site or network may experience an unexpected drop in traffic. Low CPM campaigns may be bumped for high CPM campaigns. Pay-for-performance may be bumped for any CPM campaigns, plus there is the added risk that the creative units fail to generate the anticipated level of response.
Unique Identity
A unique identifier (UID) is a numeric or alphanumeric string that is associated with a single entity within a given system. Unique identifiers can be assigned to anything that needs to be distinguished from other entities, such as individual users, companies, machines or websites.
Unsupervised Machine Learning
Unsupervised machine learning algorithms infer patterns from a data set without reference to known, or labeled, outcomes. Unlike supervised machine learning, unsupervised machine learning methods cannot be directly applied to a regression or a classification problem because you have no idea what the values for the output data might be, making it impossible for you to train the algorithm the way you normally would. Unsupervised learning can instead be used to discover the underlying structure of the data.