P-FHM+: Parallel high utility itemset mining algorithm for big data processing

Procedia Computer Science ◽

10.1016/j.procs.2018.05.107 ◽

2018 ◽

Vol 132 ◽

pp. 918-927 ◽

Author(s):

Krishan Kumar Sethi ◽

Dharavath Ramesh ◽

Damodar Reddy Edla

Keyword(s):

Big Data ◽

Data Processing ◽

Big Data Processing ◽

Itemset Mining ◽

Mining Algorithm ◽

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HFIM: a Spark-based hybrid frequent itemset mining algorithm for big data processing

The Journal of Supercomputing ◽

10.1007/s11227-017-1963-4 ◽

2017 ◽

Vol 73 (8) ◽

pp. 3652-3668 ◽

Author(s):

Krishan Kumar Sethi ◽

Dharavath Ramesh

Keyword(s):

Big Data ◽

Data Processing ◽

Frequent Itemset ◽

Frequent Itemset Mining ◽

Big Data Processing ◽

Itemset Mining ◽

Mining Algorithm

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An Effective High Utility Itemset Mining Algorithm with Big Data Based on MapReduce Framework

2018 International Conference on Inventive Research in Computing Applications (ICIRCA) ◽

10.1109/icirca.2018.8597176 ◽

2018 ◽

Author(s):

Miral Y Raval ◽

Shweta Yagnik ◽

Sonal R Dave

Keyword(s):

Big Data ◽

Mapreduce Framework ◽

Itemset Mining ◽

Mining Algorithm ◽

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Scalable and Flexible Big Data Analytic Framework (SFBAF) For Big Data Processing and Knowledge Extraction

International Conference on Engineering Technologies and Big Data Analytics (ETBDA’2016) Jan. 21-22, 2016 Bangkok (Thailand) ◽

10.15242/iie.e0116024 ◽

2016 ◽

Keyword(s):

Big Data ◽

Data Processing ◽

Knowledge Extraction ◽

Analytic Framework ◽

Big Data Processing ◽

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Load Balancing in Big Data Processing Systems

International Review of Automatic Control (IREACO) ◽

10.15866/ireaco.v12i1.16808 ◽

2019 ◽

Vol 12 (1) ◽

pp. 42 ◽

Author(s):

Andrey I. Vlasov ◽

Konstantin A. Muraviev ◽

Alexandra A. Prudius ◽

Demid A. Uzenkov

Keyword(s):

Big Data ◽

Load Balancing ◽

Data Processing ◽

Big Data Processing

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A provisioning mechanism for big data processing with high efficiency under GLOUD

Industrial Electronics and Engineering ◽

10.2495/iciee140341 ◽

2014 ◽

Author(s):

Zhi Zeng

Keyword(s):

Big Data ◽

Data Processing ◽

High Efficiency ◽

Big Data Processing

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Operational qualification of scientific pipeline in big data processing center for Gaia mission

15th International Conference on Space Operations ◽

10.2514/6.2018-2511 ◽

2018 ◽

Author(s):

Julie Guiraud

Keyword(s):

Big Data ◽

Data Processing ◽

Big Data Processing ◽

Operational Qualification ◽

Data Processing Center

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Efficient Workflow for Social Big Data Processing

SSRN Electronic Journal ◽

10.2139/ssrn.3365531 ◽

2019 ◽

Author(s):

Amit Kumar Jadiya ◽

Ramesh Thakur

Keyword(s):

Big Data ◽

Data Processing ◽

Big Data Processing ◽

Social Big Data

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Assessment of Intelligent Decision Support Systems Effectiveness in Technological Processes of big Data Processing

2019 International Russian Automation Conference (RusAutoCon) ◽

10.1109/rusautocon.2019.8867640 ◽

2019 ◽

Author(s):

Fyodor O. Fedin ◽

Oleg V. Trubienko ◽

Sergey V. Chiskidov

Keyword(s):

Big Data ◽

Decision Support ◽

Data Processing ◽

Decision Support Systems ◽

Support Systems ◽

Big Data Processing ◽

Intelligent Decision ◽

Intelligent Decision Support Systems ◽

Systems Effectiveness ◽

Intelligent Decision Support

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EA2S2: An Efficient Application-Aware Storage System for Big Data Processing in Heterogeneous Clusters

2017 26th International Conference on Computer Communication and Networks (ICCCN) ◽

10.1109/icccn.2017.8038371 ◽

2017 ◽

Author(s):

Teng Wang ◽

Jiayin Wang ◽

Son Nam Nguyen ◽

Zhengyu Yang ◽

Ningfang Mi ◽

...

Keyword(s):

Big Data ◽

Data Processing ◽

Storage System ◽

Heterogeneous Clusters ◽

Big Data Processing ◽

Application Aware

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Research progress on models, algorithms and systems for remote sensing spatial-temporal big data processing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2021.3085893 ◽

2021 ◽

pp. 1-1

Author(s):

Yang Liu ◽

Lanxue Dang ◽

Kun Cai ◽

Shenshen Li ◽

Xianyu Zuo

Keyword(s):

Remote Sensing ◽

Big Data ◽

Data Processing ◽

Research Progress ◽

Big Data Processing

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