Search Results - (( data (processing OR proceeding) data algorithm ) OR ( java data optimization algorithm ))
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1
Fuzzy modeling using Bat Algorithm optimization for classification
Published 2018“…Problem of the size of data happen when data cannot be process because of it too complex. …”
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Undergraduates Project Papers -
2
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Then canonical Polyadic decomposition-based attribute reduction is applied to the offload-able task to reduce the data size. Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Article -
3
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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Thesis -
4
Smart student timetable planner
Published 2025“…Course data is managed in CSV format, parsed into JSON for fast processing, while sessionStorage and localStorage handle user data within active sessions. …”
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Final Year Project / Dissertation / Thesis -
5
Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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Thesis -
6
Privacy in medical emergency system: cryptographic and security aspects
Published 2010“…This paper shows the results of processing time of data encryption between asymmetric key algorithm (RSA) and symmetric key algorithm (AES) which includes its key-distribution processing time with client’s public key (RSA) from small to large amount of data. …”
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Proceeding Paper -
7
HYBRID: an efficient unifying process to mine frequent itemsets
Published 2018“…In this paper, an efficient hybrid algorithm was designed using a unifying process of the algorithms Improved Apriori and FP-Growth. …”
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Proceeding Paper -
8
Efficient skyline processing algorithm over dynamic and incomplete database
Published 2018“…The notion of skyline processing is to discover the data items that are not dominated by any other data items. …”
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Proceeding Paper -
9
Pattern Discovery Using K-Means Algorithm
Published 2024“…The experiments were conducted using undirected data and directed data. The pattern extracted gave information on the previous matching process done by the university.…”
Proceedings Paper -
10
Development of heuristic task scheduling algorithm in cloud computing
Published 2016“…It can be said that heuristics algorithms become the undeniable candidate for task scheduling big data analytics. …”
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Proceeding Paper -
11
Immune network algorithm in monthly streamflow prediction at Johor river
Published 2014“…The model of Immune Network Algorithm used in this study is aiNet. The training process in aiNet is partly inspired by clonal selection principle and the other part uses antibody interactions for removing redundancy and finding data patterns. …”
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Proceeding Paper -
12
Parallel power load abnormalities detection using fast density peak clustering with a hybrid canopy-K-means algorithm
Published 2025“…The study taps into Apache Hadoop's robust tools for data storage and processing, including HDFS and MapReduce, to effectively manage and analyze big data challenges. …”
Article -
13
A random search based effective algorithm for pairwise test data generation
Published 2011“…This paper proposes an effective random search based pairwise test data generation algorithm named R2Way to optimize the number of test cases. …”
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Conference or Workshop Item -
14
Deploying blockchains to simplify AI algorithm auditing
Published 2023“…In AI algorithms, bias occurs due to multiple reasons including incomplete data, skewed data, human error and so on. …”
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Proceeding Paper -
15
Enhancing wireless sensor network data collection through aerial unmanned vehicles
Published 2024“…Integrating mobile collectors introduces the potential for energy conservation by shortening data routes. This article introduces three distinct algorithms for optimizing data collection in WSNs. …”
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Proceeding Paper -
16
Algorithmic approaches in model selection of the air passengers flows data
Published 2015“…Algorithm is an important element in any problem solving situation.In statistical modelling strategy, the algorithm provides a step by step process in model building, model testing, choosing the ‘best’ model and even forecasting using the chosen model.Tacit knowledge has contributed to the existence of a huge variability in manual modelling process especially between expert and non-expert modellers.Many algorithms (automated model selection) have been developed to bridge the gap either through single or multiple equation modelling.This study aims to evaluate the forecasting performances of several selected algorithms on air passengers flow data based on Root Mean Square Error (RMSE) and Geometric Root Mean Square Error (GRMSE).The findings show that multiple models selection performed well in one and two step-ahead forecast but was outperformed by single model in three step-ahead forecasts.…”
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Conference or Workshop Item -
17
Application of Simon encryption algorithm for data transmission between sensor nodes in IoT environment
Published 2024“…The performance metric used to measure the performance are time duration for a complete process and CPU utilization. In future work, the algorithm can still be optimized to offer better performance. …”
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Proceeding Paper -
18
Optimizing OLAP heterogeneous computing based on Rabin-Karp algorithm
Published 2013“…Yet, such a method will always need increasing processing resources. Numerous enhancements have been suggested in order to improve OLAP performance, part of them has gone to the processing capabilities whereby parallel processing has occupied a sizeable space. …”
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Proceeding Paper -
19
Computational Discovery of Motifs Using Hierarchical Clustering Techniques
Published 2008“…This paper aims to develop data mining techniques for discovering motifs. A mismatch based hierarchical clustering algorithm is proposed in this paper, where three heuristic rules for classifying clusters and a post-processing for ranking and refining the clusters are employed in the algorithm. …”
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Proceeding -
20
Scalable approach for mining association rules from structured XML data
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