Nonoverlapping sequential pattern mining (SPM) is a data analysis task, which aims at
identifying repetitive sequential patterns with gap constraint in a set of discrete sequences …

Negative sequential pattern mining (SPM) is an important SPM research topic. Unlike
positive SPM, negative SPM can discover events that should have occurred but have not …

Approximate pattern matching not only is more general than exact pattern matching, but also
allows some data noise. Most of them adopt the Hamming distance to measure similarity …

Nonoverlapping sequential pattern mining (SPM) is a type of SPM with gap constraints that
can mine valuable information in sequences. One of the disadvantages of nonoverlapping …

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 …

Order-preserving pattern (OPP) mining is a type of sequential pattern mining method in
which a group of ranks of time series is used to represent an OPP. This approach can …

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

Negative sequential patterns (NSP) focus on non-occurring events and play a role that
cannot be replaced by positive sequential patterns (PSP). Considering the repetitive …

The era characterized by an exponential increase in data has led to the widespread
adoption of data intelligence as a crucial task. Within the field of data mining, frequent …

This textbook is a complete, up-to-date, and highly illustrated account of Structural Geology
for students and professionals, and includes fundamentals of the subject with field and …