Search Results - (( developing consumption _ algorithm ) OR ( java application mining algorithm ))
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Direct approach for mining association rules from structured XML data
Published 2012“…The focus of this study is to propose an enhancement on memory consumption by reducing the number of candidates generated for the existing FLEX algorithm which will reduce the amount of memory needed to execute the algorithm. …”
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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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Harmony Search algorithm-based gasoline consumption modeling for Indonesia
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Working Paper -
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Smart and energy aware routing for the internet of mobile things
Published 2021“…Therefore, a smart and energy efficient routing algorithm is necessary to be developed and the level of energy consumption is important to be improved and observed. …”
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Final Year Project / Dissertation / Thesis -
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Sustainable energy management: Artificial intelligence-based electricity consumption prediction in limited dataset environment for industry applications
Published 2024“…Electricity has been a key driver of global socioeconomic development and sustainability for both developed and developing nations. …”
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A new approach for forecasting OPEC petroleum consumption based on neural network train by using flower pollination algorithm
Published 2016“…Petroleum is the live wire of modern technology and its operations, with economic development being positively linked to petroleum consumption. …”
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An Integer Linear Programming model and Adaptive Genetic Algorithm approach to minimize energy consumption of Cloud computing data centers
Published 2018“…Hence, solutions are needed to minimize the energy consumption. This paper focuses on the development of a dynamic task scheduling algorithm by proposing an Integer Linear Programming (ILP) model that minimizes the energy consumption in a Cloud data center. …”
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Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter
Published 2019“…A decentralized Locust-inspired scheduling algorithm (LACE) is one way to minimize the level of energy consumption in cloud datacenters. …”
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Energy-efficient algorithms for dynamic virtual machine consolidation in cloud data centers
Published 2017“…Based on the proposed algorithms, energy consumption can be reduced…”
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Development of low power viterbi decoder on complex programmable logic device platform
Published 2018“…Consequently, the number of logic gates and the total power consumption of the STTC Viterbi decoder can be reduced by using the new algorithms. …”
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Energy and performance efficient resource allocation for cloud-based data centers
Published 2015“…In this study, we found that our proposed algorithms able to reduce energy consumption by 3% and 19% for host overload detection and VM selection algorithm respectively.…”
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Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli
Published 2018“…In the developed feature selection approach, multi-objective binary-valued backtracking search algorithm (MOBBSA) is used as an efficient evolutionary search algorithm to search within different combinations of input variables and selects the non-dominated feature subsets, which minimize simultaneously both the estimation error and the number of features. …”
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The optimization of resources allocation to minimize energy consumption within data center in cloud
Published 2019“…When comparing with DVFS in a set of experiment, the proposed algorithm is better in terms of lower power consumption.…”
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Abnormalities and fraud electric meter detection using hybrid support vector machine & genetic algorithm
Published 2023“…(SESB) to reduce their distribution loss, estimated around 15% at present in Sabah State, Malaysia. The hybrid algorithm is able to preselect customers to be inspected on-site for abnormalities or potential fraud according to their consumption patterns. …”
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