Negative sequential patterns (NSPs) produced by negative sequence analysis (NSA)
capture more informative and actionable knowledge than classic positive sequential …

As an important tool for behavior informatics, negative sequential patterns (NSP)(such as
missing medical treatments) are critical and sometimes much more informative than positive …

As an important tool for behavior informatics, negative sequential patterns (NSPs)(such as
missing a medical treatment) are sometimes much more informative than positive sequential …

Repetitive positive and negative sequential patterns (PNSPs) recognize the repetitive
characteristics of positive (occurring) and negative (nonoccurring) sequential patterns …

Nonoccurring behavior (NOB) studies have attracted the growing attention of scholars as a
crucial part of behavioral science. As an effective method to discover both NOB and …

Negative sequential patterns (NSPs) capture more informative and actionable knowledge
than classic positive sequential patterns (PSPs) due to the involvement of both occurring …

The sequence analysis handles sequential discrete events and behaviors, which can be
represented by temporal point processes (TPPs). However, TPP models only occurring …

Sequential pattern mining is concerned with the extraction of frequent or recurrent
behaviors, modeled as subsequences, from a sequence dataset. Such patterns inform about …

Mining negative sequential patterns (NSP) has been an important research area in data
mining and knowledge discovery and it is much more challenging than mining positive …

Campus data analysis is becoming increasingly important in mining students' behavior. The
consumption data of college students is an important part of the campus data, which can …