Learning recommendation with formal concept analysis for intelligent tutoring system
J Muangprathub, V Boonjing, K Chamnongthai - Heliyon, 2020 - cell.com
The aim of this research was to develop a learning recommendation component in an
intelligent tutoring system (ITS) that dynamically predicts and adapts to a learner's style. In …
intelligent tutoring system (ITS) that dynamically predicts and adapts to a learner's style. In …
Model Pembelajaran Adaptif dan Cerdas Dalam Mewujudkan Profil Pelajar Pancasila
R Buaton, MB Yel - Prosiding Seminar Nasional Riset Information …, 2022 - tunasbangsa.ac.id
Seiring dengan visi misi pendidikan Indonesia dalam mewujudkan profil pelajar Pancasila
dan perkembangan teknologi digital menjadi sebuah peluang dalam menghasilkan sistem …
dan perkembangan teknologi digital menjadi sebuah peluang dalam menghasilkan sistem …
Complementary context-enhanced concept lattice aware personalized recommendation
W Huang, F Hao, G Pang, Y Sun - 2021 IEEE 20th International …, 2021 - ieeexplore.ieee.org
With the rapid development of information technology, the huge amount of information is
booming exponentially, and it becomes a key challenge to find the information users …
booming exponentially, and it becomes a key challenge to find the information users …
Concept lattice method for spatial association discovery in the urban service industry
W Liao, Z Zhang, W Jiang - ISPRS International Journal of Geo …, 2020 - mdpi.com
A relative lag in research methods, technical means and research paradigms has restricted
the rapid development of geography and urban computing. Hence, there is a certain gap …
the rapid development of geography and urban computing. Hence, there is a certain gap …
Updating the sequential patterns in dynamic databases for customer sequences deletion
JCW Lin, TP Hong, GC Lan - Journal of Internet Technology, 2015 - airitilibrary.com
In the past, an FUSP-tree algorithm for inserting customer sequences was proposed for
handling the customer sequences insertion. In this paper, the FUSPtree construction …
handling the customer sequences insertion. In this paper, the FUSPtree construction …
Personalized recommendation based on information flow in data intensive services
With the development of data intensive service like online social networks, there is more and
more user-generated content (UGC), the large amount of information make it increasingly …
more user-generated content (UGC), the large amount of information make it increasingly …
Adaptive Newsfeed filter system for the social networking site using artificial bee colony optimization
KK Huang, HC Chen, CC Hsu, CH Liu… - Journal of Internet …, 2016 - airitilibrary.com
Social networking sites have recently received a lot of attention, which is particularly
popular, provides a personal newsfeed of posts that is shared with friends. To enable users …
popular, provides a personal newsfeed of posts that is shared with friends. To enable users …
A Framework to Evaluate the Advertisement of Digital Signage over the Internet
With advances in multimedia and Internet technologies, advertising has entered a digital
network era. Digital signage on the Internet has replaced traditional static billboards and …
network era. Digital signage on the Internet has replaced traditional static billboards and …
A Fast Updated High Utility Pattern Trees for Transaction Deletion
JCW Lin, GC Lan, TP Hong, YY Wang - Journal of Internet …, 2015 - airitilibrary.com
Utility mining was proposed as an extension of frequent-itemset mining for concerning
various factors from users. In this paper, a fast-updated high-utility-pattern trees for …
various factors from users. In this paper, a fast-updated high-utility-pattern trees for …
Summarizing Association Patterns Efficiently by Using PI Tree in a Data Stream Environment
引用本篇文獻時, 請提供DOI, 資訊… - Journal of Internet …, 2012 - airitilibrary.com
In the age of Knowledge economy, people are paying more attention to data mining;
especially association patterns mining in owing to valuable information have often been …
especially association patterns mining in owing to valuable information have often been …