The information technology revolution, especially with the adoption of the Internet of Things,
longitudinal data in many domains become more available and accessible for secondary …

Outlier detection (outlier and anomaly are used interchangeably in this review) in non-
independent and identically distributed (non-IID) data refers to identifying unusual or …

Negative sequential patterns (NSPs), which capture both frequent occurring and
nonoccurring behaviors, become increasingly important and sometimes play a role …

Graph-based change point detection (CPD) plays an irreplaceable role in discovering
anomalous graphs in a time-varying network. While several techniques have been proposed …

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 …

Mining negative sequential patterns (NSP) is an important tool for nonoccurring behavior
analysis, and it is much more challenging than mining positive sequential patterns (PSPs) …

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 …

One of the most important problems that occur when mining positive and negative
association rules (PNARs) is that the number of mined PNARs is usually large, which …

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 …