Sentence examples for frequent items from inspiring English sources

Frequent items could be considered as a basic type of patterns in a database.

The New York Post, whose gossip columns feature frequent items about Mr. Crowe, said in March that the actor "doesn't give a damn what anyone thinks of him".

Apriori algorithm has two functions, join and prune that are performed continuously to find the frequent items and is designed to operate on database containing transactions.

We apply our algorithm to the detection of frequent items in both real and synthetic datasets whose probability distribution functions are a Hurwitz and a Zipf distribution respectively.

In this paper, we show how to employ Graphics Processing Units (GPUs) to provide an effcient and highperformance solution for finding frequent items in data streams.

The algorithm determines in parallel frequent items, i.e., those whose frequency is greater than a given threshold, and is therefore useful for iceberg queries and many other different contexts.

Frequent item sets are groups of DNA markers that occur more frequently than a minimum support level in the database.

An Apriori algorithm is widely used to find out the frequent item sets from database.

It is based on N-list data structure to mine frequent item-sets.

It takes advantage of the efficiency of vertical data layout and intersecting, and prunes candidate frequent item sets like Apriori.

Next, we demonstrated normal learning of serial order information for repeated lists of single-digit number words using the Hebb paradigm: these items were well-understood allowing them to be repeated without frequent item errors.