Methods for concept analysis and multi-relational data mining: a systematic literature review

N Leutwyler, M Lezoche, C Franciosi, H Panetto… - … and Information Systems, 2024 - Springer
Abstract The Internet of Things massive adoption in many industrial areas in addition to the
requirement of modern services is posing huge challenges to the field of data mining …

An in-depth analysis on traffic flooding attacks detection and system using data mining techniques

J Yu, H Kang, DH Park, HC Bang, DW Kang - Journal of Systems …, 2013 - Elsevier
Recently, as network traffic flooding attack such as DoS and DDoS have posed devastating
threats on network services, rapid detection, and semantic analysis are the major concern …

Multiple relations extraction among multiple entities in unstructured text

J Liu, H Ren, M Wu, J Wang, H Kim - Soft Computing, 2018 - Springer
Relations extraction is a widely researched topic in nature language processing. However,
most of the work in the literature concentrate on the methods that are dealing with single …

Novel drug target identification for the treatment of dementia using multi-relational association mining

TP Nguyen, C Priami, L Caberlotto - Scientific reports, 2015 - nature.com
Dementia is a neurodegenerative condition of the brain in which there is a progressive and
permanent loss of cognitive and mental performance. Despite the fact that the number of …

A semantic approach for transforming xml data into rdf ontology

PTT Thuy, YK Lee, S Lee - Wireless personal communications, 2013 - Springer
This paper deals with the problem of transforming eXtensible Markup Language (XML) data
into the Resource Description Language (RDF) which can be understood by the computer …

User requirement analysis and IT framework design for smart airports

SC Sohn, KW Kim, C Lee - Wireless personal communications, 2013 - Springer
It takes a great deal of time for an airline passenger to go through the immigration process,
security checks, and other airport-associated procedures. Furthermore, nowadays, large …

Efficient duality-based subsequent matching on time-series data in green computing

SY Ihm, A Nasridinov, JH Lee, YH Park - The Journal of Supercomputing, 2014 - Springer
Green computing is the study and practice of efficiently using computers resources. The
main purpose of green computing is to achieve an algorithmic efficiency by designing …

A parallel algorithm for robust fault detection in semiconductor manufacturing processes

WK Loh, JY Yun - Cluster computing, 2014 - Springer
The semiconductor manufacturing consists of a number of processes, and even a small fault
occurring at any point can damage the product quality. The fast and accurate detection of …

Mapping discovery modeling and its empirical research for the scientific and technological knowledge concept in unified concept space

L Zhu, C Shi, J Guo - Cluster Computing, 2015 - Springer
For heterogeneous scientific and technical knowledge organization systems (HSTKOSs),
computer-aided concept mapping discovery becomes very difficult among HSTKOSs. First …

[PDF][PDF] Flexible and scalable methods for formal concept analysis in distributed architectures

N Leutwyler - 2024 - theses.fr
This thesis explores adapting Formal Concept Analysis (FCA) to tackle challenges in
distributed and dynamic data environments. This research addresses the need for efficient …