Search Results - (( developing e trust algorithm ) OR ( java application mining algorithm ))
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Direct approach for mining association rules from structured XML data
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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A web-based implementation of k-means algorithms
Published 2022“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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Mining Sequential Patterns using I-PrefixSpan
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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VANET SECURITY FRAMEWORK FOR LOW LATENCY SAFETY APPLICATIONS
Published 2012“…The proposed framework is expected to improve the security mechanism in VANET by developing trust relationship among the neighboring nodes, hence forming trusted groups. …”
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A security payment model for financial payment using mykad
Published 2011“…However, to make this payment model accepted by the public, the focus should be made on two issues; trust/security issue and performance issue. A system with security technique named Arbitrary Random Security Algorithm (ARSA) and a one-to-one multithreading model need to be developed in order to accelerate the authentication response time of MPM. …”
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Stability analysis of multirotor drone with water jet payload
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Individual And Ensemble Pattern Classification Models Using Enhanced Fuzzy Min-Max Neural Networks
Published 2014“…Two enhanced FMM variants, i.e. EFMM and EFMM2, are proposed to address a number of limitations in the original FMM learning algorithm. …”
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The impact of Xiaohongshu as the primary information hub: a case study among utar undergraduates
Published 2025“…Understanding Xiaohongshu's influence is critical for navigating today's rapidly changing information landscape, in which social validation increasingly shapes trust, identity, and decision-making. Keywords: Xiaohongshu, Social Proof, Digital Trust, Google, Uses and Gratification Theory Subject Area Code: P87-96 Communication, Mass Media …”
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Final Year Project / Dissertation / Thesis -
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From AI to Experience How Personalization Shapes Online Shopping Journeys in E-Marketplaces
Published 2025“…Using the recent development of social commerce integration into e-commerce, particularly the merger of TikTok and Tokopedia, as a contextual backdrop, the research highlights how recommendation algorithms, chatbots, and personalized content contribute to consumer decision-making processes. …”
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Detection of black hole nodes in mobile ad hoc network using hybrid trustworthiness and energy consumption techniques
Published 2017“…Mobile ad-hoc network (MANET) is an evolving technology that is utilized in different applications (i.e. military surveillance, personal network, etc.) and developed in the recent years. …”
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Efficient node cooperation stimulation mechanism in wireless multihop networks
Published 2017“…The mechanism is called Trust Features-based Evidence (TFE) which is developed based on significant and unique trust features to ensure that the reported information is of actual behaviour of an observed node. …”
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Classification and visualization of e-commerce product reviews comparison using support vector machine / Nuwairah Aimi Ahmad Kushairi
Published 2023“…Therefore, this project aims 1) to design a web-based system that can classify the comparison of useful and not useful product reviews from Shopee using the Support Vector Machine (SVM) algorithm and visualize the comparison, 2) to develop the designed system, and 3) to test the functionality and usability of the system. …”
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Explainable artificial intelligence-based intuitionistic fuzzy network TOPSIS preference relation models for sukuk investment decisions
Published 2025“…Therefore, the study proposes the development of fuzzy-based explainable models that combine transparency with post-hoc techniques and are aligned with eXplainable artificial intelligence (XAI) properties. …”
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