Results 11 to 20 of about 6,064 (288)

On the Sequential Pattern and Rule Mining in the Analysis of Cyber Security Alerts [PDF]

Proceedings of the 12th International Conference on Availability, Reliability and Security, 2017
Data mining is well-known for its ability to extract concealed and indistinct patterns in the data, which is a common task in the field of cyber security. However, data mining is not always used to its full potential among cyber security community.
Kašpar Jaroslav, Pavel Čeleda, Martin Husák, Jaroslav Kašpar, Bou-Harb Elias, Elias Bou-Harb, Čeleda Pavel, Husák Martin   +7 more
core   +3 more sources

TWINCLE : A Constrained Sequential Rule Mining Algorithm for Event Logs

Procedia Computer Science, 2017
International audienceDiscovering workflow patterns in event-logs is important for many organizations to understand and optimize organizational processes. Although numerous algorithms have been proposed in the literature to discover patterns in sequences
Norre, Sylvie, Philippe Fournier-Viger, Sylvie Norre, Dalmas, Benjamin, Benjamin Dalmas, Fournier-Viger, Philippe   +5 more
core   +3 more sources

2M-SELAR: A Model for Mining Sequential Least Association Rules

, 2019
Recently, mining least association rule from the sequential data becomes more important in certain domain areas such as education, healthcare, text mining, etc. due to its uniqueness and usefulness.
Hamdan, Abdul Razak, Tutut, Herawan, Noraziah, Ahmad, Mohd Saman, Md Yazid, Abdullah, Zailani, Omer, Adam   +5 more
core   +2 more sources

Mining Frequent Sequential Rules with An Efficient Parallel Algorithm

The International Arab Journal of Information Technology, 2022
Sequential rule mining is one of the most common data mining techniques. It intends to find desired rules in large sequence databases. It can decide the essential information that helps acquire knowledge from large search spaces and select curiously rules from sequence databases.
Nesma Youssef, Hatem Abdul-Kader, Amira Abdelwahab   +2 more
openaire   +1 more source

Maximal co-occurrence nonoverlapping sequential rule mining

CoRR, 2023
The aim of sequential pattern mining (SPM) is to discover potentially useful information from a given se-quence. Although various SPM methods have been investigated, most of these focus on mining all of the patterns. However, users sometimes want to mine patterns with the same specific prefix pattern, called co-occurrence pattern. Since sequential rule
Yan Li 0087, Chang Zhang, Jie Li 0061, Wei Song 0004, Zhenlian Qi, Youxi Wu, Xindong Wu 0001   +6 more
openaire   +2 more sources

Information and argument patterns in the Introduction sections of sociology research papers

Ibérica, 2022
This study analysed the information-argument structure of the Introduction sections of sociology research papers, to identify differences across three types of sociology research: Investigative research, Development and Evaluation research, and ...
Wei-Ning Cheng, Christopher Soo Guan Khoo   +1 more
doaj   +1 more source

A real-time decision support system for bridge management based on the rules generalized by CART decision tree and SMO algorithms [PDF]

AUT Journal of Mathematics and Computing, 2020
Under dynamic conditions on bridges, we need a real-time management. To this end, this paper presents a rule-based decision support system in which the necessary rules are extracted from simulation results made by Aimsun traffic micro-simulation software.
Shadi Abpeykar, Mehdi Ghatee
doaj   +1 more source

Real-time recommendations for energy-efficient appliance usage in households

Frontiers in Big Data, 2022
According to several studies, the most influencing factor in a household's energy consumption is user behavior. Changing user behavior to improve energy usage leads to efficient energy consumption, saving money for the consumer and being more friendly ...
Magdalini Eirinaki, Iraklis Varlamis, Janhavi Dahihande, Akshay Jaiswal, Akshay Anil Pagar, Ajinkya Thakare   +5 more
doaj   +1 more source

Supercomputers memory faults analysis based on statistical data [PDF]

Jisuanji gongcheng, 2019
Based on the massive amount of statistical data about memory faults on Sunway TaihuLight and Sunway BlueLight supercomputers,the memory failure time model for Petascale supercomputers is built.By sequential rule mining,the sequential pattern of memory ...
LIU Ruitao,CHEN Zuoning
doaj   +1 more source

A New Method Combining Pattern Prediction and Preference Prediction for Next Basket Recommendation

Entropy, 2021
Market basket prediction, which is the basis of product recommendation systems, is the concept of predicting what customers will buy in the next shopping basket based on analysis of their historical shopping records.
Guisheng Chen, Zhanshan Li
doaj   +1 more source