Mining frequent sequential patterns consists in extracting recurrent behaviors, modeled as patterns, in a big sequence dataset. Such patterns inform about which events are frequently observed in sequences, i.e. what does really happen. Sometimes, knowing that some specific event does not happen is more informative than extracting a lot of observed events. Negative sequential patterns (NSP) form...

A new approach to the assessment of regional myocardial blood flow and fractional oxygen extraction has been developed using 15O-water (H2-15O) and 15O-hemoglobin (15O-Hb). Bolus doses (1 mCi) of H2-15O and 15O-Hb were injected 10 minutes apart into the left main coronary artery of 12 normal dogs. Sequential images of regional myocardial tracer clearance were obtained over 5 minutes with a posi...

Objectives: To present a framework for sequential pattern analysis using deep learning with behavioral characteristic extraction. This work intends to address the two major problems of accuracy and false positives predictions due higher self-similarity in historical clicks. Methods: It implements sequenceaware recommenders product recommendation hybrid system (HSPRec) based neural (HSPN) algori...

Flavonoid are bioactive compounds that can be found in moringa leaves. Extraction of using conventional method requires a long time and low extract yields. This study was aimed to determine the optimum process conditions sequential microwave-ultrasonic-assisted extraction (MUAE) total flavonoids (TF) from moringa. The response surface methodology (RSM) with Box-Behnken design (BBD) employed ope...