[PDF] Top 20 Assessing Apache Spark Streaming with Scientific Data
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Assessing Apache Spark Streaming with Scientific Data
... 2010, Spark is a cluster computing framework that uses a read only collection of objects called Resilient Distributed Datasets (RDDs) that let users perform in-memory calculation on large clusters ...parallel ... See full document
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IMPROVEMENT OF PERFORMANCE INTRUSION DETECTION SYSTEM (IDS) USING ARTIFICIAL NEURAL NETWORK ENSEMBLE
... Big Data from social network sites like Twitter or Facebook has been an interesting source for analytics by researchers in recent years owing to various factors including its up-to-date-ness, availability and ... See full document
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Apache Spark usage and deployment models for scientific computing
... providing data analytics platform based on Apache Spark for High Energy Physics, CERN accelerator logging system and infrastructure ...big data technologies. Among many frameworks, ... See full document
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Hospital Queueing Recommendation System Using Spark Streaming For Big Data
... enormous data and quality of the system, we have a tendency to use huge information and cloud computing models for potency and ...trained data supports improved Random Forest (RF) algorithmic rule for every ... See full document
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Behavioral Analysis of Candidates using Sentiment Analysis and Emotion Mining for Recruitment
... ABSTRACT: Today's organizations are assessing candidates based on inadequate criteria to determine candidate's behavior for recruitment. We have proposed an iterative behavioral model that assesses candidates by ... See full document
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Evolutionary Optimization Using Big Data from Engineering Simulations and Apache Spark
... of Apache Spark and the machine learning library MLlib for evolutionary optimization of an industrial system ...addsimulation data to assist the ...utilizing data and machine learning driven ... See full document
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Incremental-Parallel Data Stream Classification in Apache Spark Environment
... on apache spark, to address the problems on the real-time streaming data communication cost and workload imbalance problem of large scale data in a parallel and distributed ...dynamic ... See full document
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Efficient spatial data management by Apache Spark
... enormous data at high velocity, which increase extremely over the last few ...world data has been drastically produced from last ...big data tool such as apache spark as the de facto ... See full document
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update
... Twister2 streaming engine provides state-of-the-art perfor- mance for streaming machine learning ...of data with low latency is critical to stream- ing ...outperformed Apache Storm and ... See full document
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A comparison on scalability for batch big data processing on Apache Spark and Apache Flink
... of data. Whereas Flink is a native streaming processing framework that can work on batch data, Spark was originally designed to work with static data through its ...RDDs. Spark ... See full document
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Apache Spark based Big Data Analytics for Social Network Cybercrime Forensics
... big data. With this ever-increasing volume of data, forensic analyst faces challenges in investigations involving huge data volumes while at the same time limited by computer processor, memory and ... See full document
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MLlib: Machine Learning in Apache Spark
... the Spark ecosys- tem. At the lowest level, Spark core provides a general execution engine with over 80 oper- ators for transforming data, ...for data cleaning and ...with Spark. ... See full document
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Streaming Data Analysis using Apache Cassandra and Zeppelin
... Big data is a popular term used to describe the large volume of data which includes structured, semi-structured and unstructured ...unstructured data is growing in an explosive speed with the ... See full document
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A Technological Survey On Apache Spark And Hadoop Technologies.
... as Spark which is developed by Matei Zaharia in AMPLab of UC Berkeley in ...2009. Spark was donated to apache software foundation which was open sourced in 2010 with BSD Licensed and this ... See full document
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StreamAligner: a streaming based sequence aligner on Apache Spark
... genetic data that need to be mapped and ...genome data fast is not enough. We need to analyze data in real time to automate alignment ...on Spark stream- ing ...in Spark memory and can ... See full document
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Comparative Study of Apache Hadoop vs Spark
... As Spark streaming is built on Spark with RDD abstraction and a feature to have write ahead logs(journal) exhibits a potential recovery ...uses Spark for personalizing news pages for web ... See full document
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Pipeline for Real time Anomaly Detection in Log Data Streams using Apache Kafka and Apache Spark
... preprocessed data is analyzed by the machine learning ...log data. The network is trained with the new data at every pre-defined retrain interval so that it can adapt to new log patterns that emerge ... See full document
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Streaming Machine Learning Algorithms with Big Data Systems
... as Apache Spark, Apache Flink, Apache Storm provide the basic building blocks needed to develop streaming machine learning applications, the approaches that have been taken by each ... See full document
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Partitional Based Clustering Algorithms on Big Data Using Apache Spark
... In the terms of future work, the two aspects to be considered mainly: Primarily, optimizing the proposed algorithm SRSIO-FCM, reliability and fault- tolerance capabilities over the objective function achieves good ... See full document
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Efficient Clustering on Big Data Map Reduce Using DBScan
... between data-processing steps, in a data-processing pipeline is through the file ...of data, with each step also depending on results on the previous ... See full document
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