Titlebook: Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics; Second International Arun K. Somani,Seeram Ramakrishna,

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書目名稱Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics讀者反饋學(xué)科排名

擋泥板

根除

Performance Evaluation of Tree Ensemble Classification Models Towards Challenges of Big Data Analytformance and streaming dataset such that performance rate decreases on increasing the compute nodes due to a redundant allocation of feature subsets in the hybrid approach of task & data parallelization and inability to handle stream data. So these performance issues are identified and a problem sta

擴(kuò)大

The Survival Analysis of Big Data Application Over Auto-scaling Cloud Environment,computing resources like add, remove, scale-up or scale-down resources depending upon workload. Big data applications associated with the large storage capacity and high processing power, cloud environment is suitable for fulfilling big data application requirement using auto-scaling of resources. I

Synthesize

Rating Prediction by Combining User Interest and Friendly Relationship,habits related), social rating pattern diffusion (behavior of users diffusions related), and item similarity, this can be deduced by distributing the rating of a user set that represent customers evaluation—into a combined framework of matrix factorization. We tend to perform a number of experiments

使混合

使混合

Intervention

Join Query Optimization Using Genetic Ant Colony Optimization Algorithm for Distributed Databases,ous query plans that can minimize the consumption of computer resources. Various search strategies beginning from Deterministic Algorithms to the most recent and modern Evolutionary Algorithms have contributed incalculably towards query optimization but they bear their own set of limitations and dra

cruise

aggressor

Nischenstrategien im Kreditwesenformance and streaming dataset such that performance rate decreases on increasing the compute nodes due to a redundant allocation of feature subsets in the hybrid approach of task & data parallelization and inability to handle stream data. So these performance issues are identified and a problem sta