traditional algorithms
PREA: Personalized Recommendation Algorithms Toolkit
... of algorithms have been proposed by the research community for recommen- dation ...implementing traditional algorithms rather than the rapidly evolving ...modern algorithms are scat- tered ...
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Time and Resource Efficient Task Scheduling in Cloud Computing Environment
... Scheduling algorithms are available that schedule the user’s task to resources for ...Computing, traditional scheduling algorithms cannot satisfy the cloud’s needs, the researchers are trying to ...
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Improving prediction of risk of hospital admission in chronic obstructive pulmonary disease: application of machine learning to telemonitoring data
... predictive algorithms using machine learning is increasing; Sanchez-Morillo and colleagues [41] in a recent review concluded that, while some of these show promise, they have been based on relatively small numbers ...
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EDA and ML A Perfect Pair for Large-Scale Data Analysis
... learning algorithms will include sufficient data for an algorithm to determine the ...what traditional machine learning algorithms may be able to ...Many traditional algorithms would ...
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1. Hybridization of soft computing techniques for flow shop scheduling problem
... heuristic traditional algorithms were used for solving the Flexible job shop scheduling problem, based on an algorithm they are classified into Genetic algorithm (GA), Particle Swarm Optimization (PSO) ...
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A Comprehensive View of Hadoop MapReduce Scheduling Algorithms
... Fair scheduling is a method of assigning resources to jobs such that all jobs get, on average, an equal share of resources over time [15]. If there is a single job running, the job uses the entire cluster. When other ...
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Sequential Genetic Search for Ensemble Feature Selection
... Genetic algorithms have been shown to be effective global optimization ...genetic algorithms for ensemble feature selection was first proposed in [Kuncheva, 1993] and further elaborated in [Kuncheva and ...
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Analyzing the performance of AFRA with its traditional routing algorithms
... Our fuzzy repertory table based routing algorithm metrics result will be compared with other routing algorithms such as Distance Vector, Link State & OSPF to run on the network topology. The expected results ...
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An Incremental And Static Combined Scheme for Matrix Factorization Based Collaborative Filtering
... users.In traditional CF algorithms, to compute similarity between every pair of users or services may take too much time, even exceed the processing capability of current ...
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Research on the Application Ontology Based Personalized Tourist Recommendation System
... between traditional travel agency and ...wrote algorithms and achieved system integration by analyzing system demand, designing system function and system space, and successfully applied it in Tourism ...
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Coverage Improvement In Wireless Sensor Networks Based On Fuzzy-Logic And Genetic Algorithm
... Abstract: Wireless sensor networks have been widely considered as one of the most important 21th century technologies and are used in so many applications such as environmental monitoring, security and surveillance. ...
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Evaluating associative classification algorithms for Big Data
... AC algorithms that first mine association rules by means of exhaustive search ...with traditional rule induc- tion algorithms. While these algorithms work well for not so big datasets, they ...
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Cooking is All About People: Comment Classification on Cookery Channels Using Bert and Classification Models (Malayalam-English Mix-Code)
... This paper compared the performance of Feature Selection based techniques and Deep Learning (Convolutional Neural Network, Long Short-Term Memory Network, and Long-Term Recurrent Convolutional Network) [37]. For text ...
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A. Data placement
... Data placement is fundamental to storage workload distribution because when data is requested, workload goes to the device where the data is stored. If data is distributed well, storage workload is automatically ...
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Detecting Phishing Websites Using Associative Classification
... We used a Pentium IV 2.0 GH machine to run the experiments. The experiments of NB, SVM, and CBA were conducted using the Weka software system (www.weka.com), which is an open java source code for the common data mining ...
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Parallel Evolutionary Algorithms and High Dimensional Optimization Problems
... It has been shown that the islands models have preferred performance over the single population ones [19]. They are so sophisticated and it has been noticed that utilizing them frequently prompts speedier ...
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A reduced-complexity scheme using message passing for location tracking
... of traditional tracking schemes, but also the idea of decoupling X and Y dimen- sions is used to simplify the implementation for location ...the traditional KF-based tracking scheme, achieves close location ...
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Research on Spaceborne SAR HRWS-GMTI Imaging Method Based on Relax Algorithm
... The traditional HRWS based on the multi-channel system in azimuth direction aims to suppress the ambiguity of the stationary targets on the ground with low ...the traditional GMTI based on the multi-channel ...
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Bounded Rationality Based Algorithms of the Mind Construction —Situated Cognition as Calculating Media
... of algorithms of the mind is a study that has been discussed through the whole development process of Cognitive Science ...mind algorithms went into a di- lemma, a new research approach ...mind ...
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Research on algorithms of data mining under cloud computing environment
... nodes[3]. Traditional data processing method for the transformation of distributed computing, and on this basis algorithm improved will have major significance for massive data ...If traditional data mining ...
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