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- research-articleOctober 2023
Decentralized knowledge discovery using massive heterogenous data in Cognitive IoT
Cluster Computing (KLU-CLUS), Volume 27, Issue 3Pages 3657–3682https://doi.org/10.1007/s10586-023-04154-zAbstractCurrent Internet of Things (IoT) research focuses on inserting cognition into its system architecture and design. Therefore, Cognitive IoT (CIoT) has emerged. CIoT inherits several features and challenges from IoT. Since IoT generates huge amounts ...
- research-articleSeptember 2023
A fundamental approach to discover closed periodic-frequent patterns in very large temporal databases
- Veena Pamalla,
- Uday Kiran Rage,
- Ravikumar Penugonda,
- Likhitha Palla,
- Yuto Hayamizu,
- Kazuo Goda,
- Masashi Toyoda,
- Koji Zettsu,
- Shrivastava Sourabh
Applied Intelligence (KLU-APIN), Volume 53, Issue 22Pages 27344–27373https://doi.org/10.1007/s10489-023-04811-1AbstractPeriodic frequent-pattern mining (PFPM) is a vital knowledge discovery technique that identifies periodically occurring patterns in a temporal database. Although traditional PFPM algorithms have many applications, they often produce a large set of ...
- research-articleOctober 2022
Discovery of Interesting Itemsets for Web Service Composition Using Hybrid Genetic Algorithm
Neural Processing Letters (NPLE), Volume 54, Issue 5Pages 3913–3939https://doi.org/10.1007/s11063-022-10793-xAbstractExtraction of interesting patterns from large databases have placed great impact on many applications for instance market basket analysis, web service mining, bio-informatics and mobile commerce for effective decision making. One of the methods to ...