Efficient algorithm for mining non-redundant high-utility association rules

T Mai, LTT Nguyen, B Vo, U Yun, TP Hong - Sensors, 2020 - mdpi.com
In business, managers may use the association information among products to define
promotion and competitive strategies. The mining of high-utility association rules (HARs) …

A survey on behavioral pattern mining from sensor data in Internet of Things

MM Rashid, J Kamruzzaman, MM Hassan… - IEEE …, 2020 - ieeexplore.ieee.org
The deployment of large-scale wireless sensor networks (WSNs) for the Internet of Things
(IoT) applications is increasing day-by-day, especially with the emergence of smart city …

In-memory caching for enhancing subgraph accessibility

K Bok, S Yoo, D Choi, J Lim, J Yoo - Applied Sciences, 2020 - mdpi.com
Graphs have been utilized in various fields because of the development of social media and
mobile devices. Various studies have also been conducted on caching techniques to reduce …

Distributed Subgraph Query Processing Using Filtering Scores on Spark

K Bok, M Kim, H Lee, D Choi, J Lim, J Yoo - Electronics, 2023 - mdpi.com
As various services have been generating large-scale graphs to represent multiple
relationships between objects, studies have been conducted to obtain subgraphs with …

Graph Stream Compression Scheme Based on Pattern Dictionary Using Provenance

H Lee, B Shin, D Choi, J Lim, K Bok, J Yoo - Applied Sciences, 2024 - mdpi.com
With recent advancements in network technology and the increasing popularity of the
internet, the use of social network services and Internet of Things devices has flourished …

Historical graph management in dynamic environments

K Bok, G Kim, J Lim, J Yoo - Electronics, 2020 - mdpi.com
Since dynamic graph data continuously change over time, it is necessary to manage
historical data for accessing a snapshot graph at a specific time. In this paper, we propose a …

Kensor: Coordinated intelligence from co-located sensors

O Kotevska, K Perumalla… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Internet of Things (IoT) is becoming more pervasive in many installations, including homes,
manufacturing plants, and industrial facilities of all kinds. The data that IoT produces is a …

An N-list-based approach for mining frequent inter-transaction patterns

TN Nguyen, LTT Nguyen, B Vo, NT Nguyen… - IEEE …, 2020 - ieeexplore.ieee.org
Mining frequent inter-transaction patterns (ITPs) from large databases is both useful and of
interest. Since frequent inter-transaction patterns (FITPs) are discovered across transactions …

Vta-ih: A fog-based digital forensics framework

A Bandil, E Al-Masri - 2020 6th International Conference on …, 2020 - ieeexplore.ieee.org
The wide acceptance of the Internet of Things (IoT) paradigm has contributed in recent years
to a significant increase in the number of IoT applications and the existence of IoT devices …

Cost Model Based Incremental Processing in Dynamic Graphs

K Bok, J Cho, H Lee, D Choi, J Lim, J Yoo - Electronics, 2022 - mdpi.com
Incremental graph processing has been developed to reduce unnecessary redundant
calculations in dynamic graphs. In this paper, we propose an incremental dynamic graph …