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Titlebook: Big Data Analytics and Knowledge Discovery; 19th International C Ladjel Bellatreche,Sharma Chakravarthy Conference proceedings 2017 Springe

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Service Profiles and Templates,t a scalable buffer, EQM utilizes existing scalable data stores (e.g. HBase) to avoid re-inventing the same elasticity and scalability logic and meanwhile ensures load balancing performance. Experiment results show that stable throughput is achieved at varying data rates using EQM.
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MDA-Based Approach for NoSQL Databases Modellinggraph oriented systems. The advantage of using a unified logical model is that this model remains stable, even though the NoSQL system evolves over time which simplifies the transformation process and saves developers efforts and time.
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MiSeRe-Hadoop: A Large-Scale Robust Sequential Classification Rules Mining Frameworkbust and user parameter-free anytime algorithm and . it employs an instance-based randomized strategy to promote diversity mining. We have applied our method on two real-world large datasets: a marketing dataset and a text dataset. Our results confirm that our method is scalable for large scale sequential data analysis.
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Pre-processing and Indexing Techniques for Constellation Queries in Big Datachniques involve pre-processing the query to reduce its dimensionality as well as indexing the data to fasten stars neighboring computation using a PH-tree. We have implemented our techniques in Spark and evaluated our techniques by a series of experiments. The PH-tree indexing showed very good results and guarantees query answer completeness.
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Conference proceedings 2017 Lyon, France, in August 2017..The 24 revised full papers and 11 short papers presented were carefully reviewed and selected from 97 submissions. The papers are organized in the following topical sections: new generation data warehouses design; cloud and NoSQL databases; advanced programming paradig
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