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streaming data

DPASF: a flink library for streaming data preprocessing

DPASF: a flink library for streaming data preprocessing

... of streaming data [25] are the following. In streaming data, instances are not available beforehand, they become available in a sequence fashion, one by one, or in ...As streaming ...

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Survey on Clustering Over Categorical Streaming Data

Survey on Clustering Over Categorical Streaming Data

... underlying data structure and data distribution. The data distribution varies with respect to ...for streaming data with respect to the numerical and Categorical ...

5

Mining on K way Means Clustered Streaming Data

Mining on K way Means Clustered Streaming Data

... changing streaming data has captured and prepared for the data mining process with the use key performance ...the data sets to make it available to the business bodies to get understand about ...

8

A Complex Query Based Private Searching on Streaming Data

A Complex Query Based Private Searching on Streaming Data

... . Reference [8] offers a model to achieve balance among the conflicting requirements of security, and practical efficiency, but it doesn’t fulfil anonymity and authorization requirements. Reference [10] gives ...

9

Management of Real Time Streaming Data Grid Services

Management of Real Time Streaming Data Grid Services

... other data streams such as sensor data. All streaming data require significant Quality of Service (QoS) constraints and dynamic ...general streaming data grid infra- ...

10

Named Entity Disambiguation in Streaming Data

Named Entity Disambiguation in Streaming Data

... ity between these vectors. Clusters of co-referent names are then built based on such similarity mea- sure. Although effective for the tasks considered in these papers, the simplistic BOW-based approaches they adopt are ...

10

Real Time Streaming Data Grid Applications

Real Time Streaming Data Grid Applications

... sensor data with scientific appli- cations such as simulation, visualization or data mining software by leveraging GIS standards and Web Services ...performance data transfer between data ...

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Management of Real Time Streaming Data Grid Services

Management of Real Time Streaming Data Grid Services

... other data streams such as sensor data. All streaming data require significant Quality of Service (QoS) constraints and dy- namic ...general streaming data grid ...

12

The Study of Active Learning with Evolving Streaming Data

The Study of Active Learning with Evolving Streaming Data

... evolving streaming data I have tested the existing strategies using different data sets from Forest cover, Electricity and ...required data sets can be obtained and these data sets can ...

12

Streaming Data Analysis using Apache Cassandra and Zeppelin

Streaming Data Analysis using Apache Cassandra and Zeppelin

... the streaming data with the help of apache flume, Cassandra and spark ...the streaming data. The data flow is maintained by the Apache spark streaming and dumped into the ...

8

Towards High Performance Processing of Streaming Data in Large Data Centers

Towards High Performance Processing of Streaming Data in Large Data Centers

... the data flow graph, with streams defining the edges and processing elements defining the ...the data processing nodes are called ...of data among the PEs in the graph by using streams to connect ...

8

A cluster-finding algorithm for free-streaming data

A cluster-finding algorithm for free-streaming data

... probes. Data reduction in real-time is a prerequisite for such interaction ...all data are pushed to a computer farm, on which the trigger signatures are evaluated in ...

6

High Performance Processing of Streaming Data in the Cloud

High Performance Processing of Streaming Data in the Cloud

... Lessons from using Storm • We successfully parallelized Storm as core software of two robot planning applications • We needed to replace Kafka by RabbitMQ to improve performance – Kafka [r] ...

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Survey of Streaming Data AlgorithmsSurvey of Streaming Data Algorithms

Survey of Streaming Data AlgorithmsSurvey of Streaming Data Algorithms

... on data produced in real time is increasing ...The data coming from these sources must be processed before they become outdated and the decisions must be taken in real ...of data is produced, ...

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Frequent Itemset Mining on Streaming data

Frequent Itemset Mining on Streaming data

... According to Danilo S. da Cunha et al. [3] They describes how bacterial colony networks and their skills to explore resources can be used as tools for mining association rules in static and stream data. A new ...

7

Sentiment Analysis of Twitter Streaming Data

Sentiment Analysis of Twitter Streaming Data

... Go et al. (2009) [14] were among the first to does sentiment analysis exclusively on Twit-ter data. In this paper they take care of the problem as one of binary classification, they categorized tweets as either ...

8

Using HPC-ABDS for Streaming Data

Using HPC-ABDS for Streaming Data

... Message Protocols: 12 In-memory databases & caches / Object-relational mapping / Extraction Distributed Coordination: Tools Security & Privacy: 13 Inter process communication Monitoring:[r] ...

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Reasoning over Streaming Data in Metric Temporal Datalog

Reasoning over Streaming Data in Metric Temporal Datalog

... We conclude this section by studying data complexity for datalogMTL FP . In contrast to our previous results, our bounds apply only under the assumption that the gcd of timestamps in the input stream is known in ...

8

High Performance Data Streaming in Service Architecture

High Performance Data Streaming in Service Architecture

... Intelligence Data Analysis stems from the process of efficiently processing very large amounts of real time data, extracting relevant information, formulating appropriate actions semi-automatically and ...

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LIVE DATA STREAMING WITH SECURE PROVENANCE TRANSMISSION

LIVE DATA STREAMING WITH SECURE PROVENANCE TRANSMISSION

... continuous data streaming from multiple sources and through intermediate processing by multiple ...of data provenance secure for such highly dynamic context is an important requirement, since ...

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