Search Results - (( java implementation cell algorithm ) OR ( knowledge usage data algorithm ))
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A web usage mining approach based on LCS algorithm in online predicting recommendation systems
Published 2008“…Web Usage Mining (WUM) systems are specifically designed to carry out this task by analyzing the data representing usage data about a particular Web site. …”
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Sentiment mining using immune network algorithm /Raja Muhammad Hafiz Raja Kamarudin
Published 2012“…With the abundant of knowledge accessible via Internet and the likes, many have ventured into using that knowledge in order to understand deeply on how the available knowledge affected the whole world directly or indirectly. …”
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Thesis -
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Towards lowering computational power in IoT systems: Clustering algorithm for high-dimensional data stream using entropy window reduction
Published 2024“…In a world of connectivity empowered by the advancement of the Internet of Things (IoT), an infinite number of data streams have emerged. Thus, data stream clustering is crucial for extracting hidden knowledge and data mining. …”
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Web usage mining: A review of recent works
Published 2015“…Web mining is the application of data mining on web data and web usage mining is an important component of web mining. …”
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Proceeding Paper -
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A new classification model for online predicting users' future movements
Published 2008“…We can exploit Web Usage Mining for Knowledge extracting based on user behavior during the web navigation. …”
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Development of intelligent hybrid learning system using clustering and knowledge-based neural networks for economic forecasting : First phase
Published 2004“…We proposed KMeans clustering algorithm that is based on multidimensional scaling, joined with neural knowledge based technique algorithm for supporting the learning module to generate interesting clusters that will generate interesting rules for extracting knowledge from stock exchange databases efficiently and accurately.…”
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BVAGQ-AR for Fragmented Database Replication Management
Published 2021“…Although we have been packed with data, we still have lacked of knowledge. Nevertheless, if the impractical data is used in database replication, this will cause waste of data storage and the time taken for a replication process will be delayed. …”
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Managing MyGRANTS Fragmented Database Using Binary Vote Assignment Grid Quorum with Association Rule (BVAGQ-AR) Replication Model
Published 2015“…However, in recent years, with widely available, low-cost technology, the amount of various data grows rapidly. The problem is although we are packed with data, but we have lacked of knowledge. …”
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10
Application of machine learning and artificial intelligence in detecting SQL injection attacks
Published 2024“…More recently, cyber-attacks have also been on the rise and SQL injection attacks are some of major threats to data security. AI and machine learning have come a long way, however their usage in cybersecurity is still somewhat nascent. …”
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An augmented reality real-time cloud-based remote monitoring algorithm for a manufacturing system / Siti Aisyah Jaafar
Published 2021“…Thus, resulting in the efficiency of the novel AR-IoT remote monitoring algorithm. This research contributes to existing knowledge of AR-IoT onto the growing area of research scopes by exploring more usage of AR and IoT for remote manufacturing monitoring.…”
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Thesis -
12
Biological-based semi-supervised clustering algorithm to improve gene function prediction
Published 2011“…Analysis of simultaneous clustering of gene expression with biological knowledge has now become an importanttechnique and standard practice to present a proper interpretation of the data and its underlying biology. …”
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Research on the construction of an efficient and lightweight online detection method for tiny surface defects through model compression and knowledge distillation
Published 2024“…In response to the current issues of poor real-time performance, high computational costs, and excessive memory usage of object detection algorithms based on deep convolutional neural networks in embedded devices, a method for improving deep convolutional neural networks based on model compression and knowledge distillation is proposed. …”
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Designing machine learning frameworks for intelligence and gamification research / Nordin Abu Bakar
Published 2016“…By defining the data, machines (or computers) will be able to create information and later on transform it into knowledge. …”
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Data stream clustering by divide and conquer approach based on vector model
Published 2016“…Recently, many researchers have focused on data stream processing as an efficient method for extracting knowledge from big data. …”
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Study of Free Falling Particle in Viscous Fluid
Published 2016“…This report aims to refer to all the previous studies conducted to study the motion of particle in viscous medium and use that knowledge and data to model and simulate that situation using computational fluid dynamic software. …”
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Final Year Project -
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A design of precision linear z-transverse antenna positioner
Published 2006“…It comprises designs of mechanical, electrical and control system. Besides, knowledge on software design is also of paramount important because the designed instrument run by own developed control algorithm. …”
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Transitioning from information sharing to knowledge services: unpacking the evolution of rural media within the context of media integration
Published 2023“…Leveraging a combination of big data crawling and comprehensive questionnaire surveys, we provide data-driven perspectives on rural TikTok users’ experiences, motivations, and challenges. …”
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A flexible query transformation framework for structured retrieval / Gan Keng Hoon
Published 2013“…Once a source query is interpreted and represented as intermediate query, it can be easily mapped to a structured query language using a set of predefined query templates in knowledge base. Lastly, experiments are carried out at the algorithm, application and representation levels on both synthetic and real world data sets to demonstrate the feasibility and scalability of the query transformation framework. …”
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An Automated System For Classifying Conference Papers
Published 2021“…A randomised stratified 5- fold cross validation was then applied on several data mining algorithms and evaluated using the F-measure as a metric. …”
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Final Year Project / Dissertation / Thesis
