[PDF][PDF] Semantic-based process mining technique for annotation and modelling of domain processes
Semantic technologies aim to represent information or models in formats that are not just
machine-readable but also machine-understandable. To this effect, this paper shows how …
machine-readable but also machine-understandable. To this effect, this paper shows how …
Mining frequent patterns partially devoid of dissociation with automated MMS specification strategy
Mining frequent patterns with single minimum support is quite unpredictable as it may miss
rare itemsets depending upon the high value of minimum threshold. The phenomenon is …
rare itemsets depending upon the high value of minimum threshold. The phenomenon is …
An Efficient Temporal Inter-Object Association Rule Mining Algorithm on Time Series
NT Vu, VTN Chau - Vietnam Journal of Computer Science, 2022 - World Scientific
Time series is acknowledged as one of the most common crucial data types in our daily
lives. Among the time series mining tasks, rule discovery is important to provide valuable …
lives. Among the time series mining tasks, rule discovery is important to provide valuable …
Adaptive Minimum Support Threshold for Association Rule Mining
M Ogedengbe, S Junaidu… - Indonesian Journal of Data …, 2024 - jurnal.yoctobrain.org
In association rule mining (ARM), valuable rules are extracted from frequent itemsets,
selecting appropriate minimum support thresholds is essential yet challenging. Arbitrary …
selecting appropriate minimum support thresholds is essential yet challenging. Arbitrary …
Mining for Enthalpy-Based Average High-Utility Patterns with Tighter Upper Bounds
R Vankdothu, MA Hameed - SN Computer Science, 2022 - Springer
Mining for high average-utility item sets in a quantitative database is developing the
traditional problem of frequent item data mining, with several practical applications …
traditional problem of frequent item data mining, with several practical applications …
A parallelized frequent temporal pattern mining algorithm on a time series database
NT Vu, C Vo - Asian Conference on Intelligent Information and …, 2021 - Springer
For many years, time series data have been considered as one of the most popular
significant data forms in our daily life. Time series exist in many application domains such as …
significant data forms in our daily life. Time series exist in many application domains such as …
[PDF][PDF] Mining Frequent Pattern on Liquid Chromatography-Mass Spectrometer Data of Rodent Tuber to Find the Association Rules of Compounds for Machine …
Liquid Chromatography-Mass Spectrometry (LC-MS) data contains a lot of measurement
data, which contains Rodent Tuber plant measurement. This paper aims to obtain frequent …
data, which contains Rodent Tuber plant measurement. This paper aims to obtain frequent …
[PDF][PDF] Acceptance Letter: ICICELB-2103-014
Liquid Chromatography-Mass Spectrometry (LC-MS) data contains a lot of measurement
data, which contains Rodent Tuber plant measurement. This paper aims to obtain frequent …
data, which contains Rodent Tuber plant measurement. This paper aims to obtain frequent …
[PDF][PDF] A MULTITHREAD, NOVEL PATTERN BASED ALGORITHM FOR FINDING FREQUENT PATTERNS WITH JAGGED ARRAY AND VERTICAL DATA
Frequent pattern mining is essential for discovering hidden items from a database with more
than a prescribed threshold. Knowing frequent patterns helps us to determine the …
than a prescribed threshold. Knowing frequent patterns helps us to determine the …
Beyond the Inverted Index
ZH Deng - arXiv preprint arXiv:1908.04517, 2019 - arxiv.org
In this paper, a new data structure named group-list is proposed. The group-list is as simple
as the inverted index. However, the group-list divides document identifiers in an inverted …
as the inverted index. However, the group-list divides document identifiers in an inverted …