Sentence examples for transactional database from inspiring English sources

Historical data is often not required by an active database, such as an online transaction processing (OLTP) transactional database, as archived information conflicts with current activity.

The method maps the dataset and pruned ensemble to a transactional database in which each transaction corresponds to an instance and each item corresponds to a base classifier.

The algorithm thus does not require any scanning of a given transactional database after initial two scans for constructing list structures of itemsets with 1-lengths.

It consists of discovering sets of items generating a high profit in a transactional database by considering both purchase quantities and unit profits of items.

Mining high utility itemsets in a transactional database where items have positive or negative unit profits is a computationally expensive task, and it is thus desirable to design more efficient algorithms.

A new framework called short-period high-utility itemset mining (SPHUIM) is designed to identify patterns in a transactional database that appear regularly, are profitable, and also yield a high utility under the period constraint.

In the past, many algorithms have been proposed to mine frequent itemsets from transactional databases, in which the presence or absence of items in transactions was certainly known.

Multilevel knowledge in transactional databases plays a significant role in our real-life market basket analysis.

However, in real-world transactional databases, items (products) often have positive or negative unit profits.

High utility itemset mining is an emerging data mining task, which consists of discovering highly profitable itemsets (called high utility itemsets) in very large transactional databases.

Online Transaction Processing (OLTP) and transactional databases generally require changes to small amounts of data and benefit greatly from extensive use of precise indexing.