Search Results - (( user evaluation method algorithm ) OR ( basic selection method algorithm ))
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An ensemble feature selection method to detect web spam
Published 2018“…In addition, it improves classification metrics in comparison to basic feature selection methods.…”
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Improving Attentive Sequence-to-Sequence Generative-Based Chatbot Model Using Deep Neural Network Approach
Published 2022“…The strategies applied showed that the final accuracy obtained through the training after implementing a modification in the algorithm is at 81% accuracy rate compared to the basic model that recorded its final accuracy at 79% accuracy rate. …”
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Application of clustering in managing unstructured textual data in relational database / Wael Mohamed Shaher Yafooz
Published 2014“…The clustering results have been validated using the F-measure, Entropy and Purity methods of measurement and compared with two common methods, which are information extraction and textual document clustering, for example, K-means, Frequent Item-Set, Hierarchical Clustering Algorithms and Oracle Text. …”
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Incremental learning for large-scale stream data and its application to cybersecurity
Published 2015“…These results indi�cate that the proposed method can improve the RAN learning algorithm towards the large-scale stream data processing. …”
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Tag clouds algorithm with the inclusion of personality traits
Published 2015“…In addition, a prototype was developed to evaluate the proposed algorithm. Then, user satisfaction was conducted in order to evaluate this prototype using Q-SAFI instruments. …”
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Recommendation System Model For Decision Making in the E-Commerce Application
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A hybrid Method Of Centroid-Based Clustering And Meta-Heuristic For Personalized Web Search
Published 2024thesis::doctoral thesis -
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Adaptive method to improve web recommendation system for anonymous users
Published 2011“…The second is Adaptive Web page Recommendation System (AWRS) which combines the classification algorithm of iPACT in addition to the ability of adaptive recommending due to the changes of the users‟ interests and weighting methods to deal with unvisited or new added pages. …”
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DESIGN AND EVALUATION OF RESOURCE ALLOCATION AND JOB SCHEDULING ALGORITHMS ON COMPUTATIONAL GRIDS
Published 2012“…The issue is not only to develop new algorithms, but also to evaluate them on an experimental computational grid, using synthetic and real workload traces, along with the other existing job scheduling algorithms. …”
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Evaluation of the effectiveness of clustering algorithm in retrieving Malay documents / Aminah Mahmood
Published 2004“…First experiment use exact match, which is no method, is applied. Second experiment use stenmiing method. …”
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Independent task scheduling algorithms in fog environments from users’ and service providers’ perspectives: a systematic review
Published 2025“…This review classifies the scheduling algorithms according to their QoS impact on both users and fog service providers (FSPs). …”
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An indoor based push notification for location-based marketing using bluetooth smart ready technology / Nur Farehah Alias
Published 2017“…Therefore, this project has proposed a method called token based alert notification. There are three algorithm developed for token based alert notification which is tokenization algorithm, token matching algorithm and item identification algorithm. …”
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Effective query structuring with ranking using named entity categories for XML retrieval
Published 2016“…Finally, the system employs a query formulation via node algorithm (QRYFv) algorithm to improve the selection of structured queries that best match user query Experiments have been conducted to evaluate the performance of the proposed enrichment method, XKQSS and RAXKQSS. …”
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Comparison and evaluation of multiple sequence alignment tools in bininformatics
Published 2009“…This study addresses this critical issue in relation to MSA algorithms by systematically comparing and evaluating the functionality, usability and the algorithms of three famous multiple sequence alignment tools. …”
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Travel place recommendation system using K-Nearest Neighbors algorithm / Nur Amirah Shahidan
Published 2021“…The algorithm used in the recommendation system has been evaluated by using MAE, MSE and RMSE to calculate the accuracy of the algorithm. …”
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Segmentation of MRI brain images using statistical approaches
Published 2011“…The non-Local means (NL-means) algorithm is a state-of-the art neighbourhood-based noisereduction method which is time-consuming and its accuracy can be improved. …”
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Spam image filtering algorithm / Muhammad Hazim Shahimi
Published 2015“…The algorithm in this project will help the existing current spam filtering to enhance the method in filtering spam images. …”
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