Sentence examples for interest patterns from inspiring English sources

To do this, a modified preprocessing is implemented to discover similar interest patterns among users based on multiple purchases done.

Open interest patterns suggest some 5,000 calls were picked up at that strike in the past few trading sessions for an average premium of $0.35 per contract.

Holland argues that individuals' interest patterns can be best described in terms of their resemblance to six major interest types, i.e., realistic, investigative, artistic, social, enterprising, and conventional.

Open interest patterns in the February $75 strike calls suggest the calls may have been originally purchased for an average premium of $2.04 each on January 5, 2011, when RIG’s shares were trading around $71.73.

After dissecting open interest patterns at the July $37 strike, it appears likely that the trader built up a long call stance at that strike over the course of several trading days during the first couple of weeks of April.

Autism is a developmental disorder of brain function in which social interactions, communication, activity, and interest patterns are affected, as well as cognitive aspects crucial for human sociality and culture (69).

Its ability to explore and examine "fit" between a student's interest pattern and features of educational majors or vocations substantially contributed to its impact in the fields of student and career counseling.

There is support for the circular order of the types (Tracey and Rounds, 1993) and for counseling purposes an individual's interest pattern is usually described using a three-letter code, reflecting the individual's primary, secondary, and tertiary interest fields.

When applied to regions of interest, pattern recognition approaches can achieve relatively greater sensitivity than univariate analysis as they are able to detect subtle, spatially distributed patterns.

Other examples are search engines such as Google, who derives data from search histories, and apps like Google Maps recognize interests, patterns, and habits in everyday actions, creating personalized digital landscapes [24].

All this information that has been denominated "big data" are integrated, analyzed by data mining and results are used to determine individual user behavior and interests patterns by predictive analytics, which now are commonly used for commercial purposes [ 16].