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Design of Smart Cold Chain Application Framework Based on Hadoop and Spark
2015
International Journal of Software Engineering and Its Applications
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In this paper, we propose an application framework for smart cold chain management system based on Hadoop, Spark and IoT (Internet of Things) techniques. ...
We design PaaS and IaaS based on Hadoop and Spark to store the large amount of data stream on salable storage and process stream data in real time to detect events and assess risks in cold chain. ...
The core of Hadoop consists of HDFS (Hadoop Distributed File System) which is a large storage and a MapReduce for parallel processing a large amount of data stored in HDFS [7] . ...
doi:10.14257/ijseia.2015.9.12.08
fatcat:2ztwr36gpvhpfi4daylv37mxva
An Evaluation and Implementation of Rule-Based Home Energy Management System Using the Rete Algorithm
2014
The Scientific World Journal
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In the proposed system, rules for managing energy are processed by smart taps in network, and the loads for processing rules and collecting data are distributed to smart taps. ...
Currently, we have proposed a rule-based Home Energy Management System (HEMS) using the Rete algorithm. ...
This work was supported by the Japan Science and Technology Agency (JST) Super cluster program (Construction of a High-Efficiency Energy Utilization System Realizing Clean and Low Environmental Load Society ...
doi:10.1155/2014/591478
pmid:25136672
pmcid:PMC4127203
fatcat:u4eodr5mzfg3xlgwjq5n7sgy3y
Optimization of Teaching Management System Based on Association Rules Algorithm
2021
Complexity
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This paper designs and implements a teaching management system based on an improved association rule algorithm. ...
First, aiming at the low efficiency of the Apriori algorithm for mining association rules, an association rule model based on interest is proposed. ...
However, long-term system operation has accumulated a large amount of data. ...
doi:10.1155/2021/6688463
fatcat:wd5kemibtvacrkcnmkrx2bslda
A health management system for large vertical mill
2020
International Journal of Distributed Sensor Networks
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To address this issue, the health management system for large vertical mill is developed. ...
Finally, the health management system, including the functions of condition monitoring, fault diagnosis, and trend prediction for large vertical mill is implemented using Microsoft Visual Studio C # and ...
Figure 1 . 1 Use case diagram of health management system for large vertical mill. ...
doi:10.1177/1550147720912111
fatcat:uznhoe6vv5b57pmkpdy63he6ta
Laboratory Data Connectivity and Management: the Intersection of Laboratory Information Management Systems, Ancillary Open-Source Software, and Consumer Technologies
2017
The Journal of Applied Laboratory Medicine
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The large data set, comprising iterative pairings between each patient's point-of-care laboratory glucose, proved too large for standard analysis in Excel. ...
Limitations to these "home-brew" systems, and even the commercial systems, can largely be overcome by advanced middleware or LIMS systems (1). ...
doi:10.1373/jalm.2016.021899
pmid:33636852
fatcat:y5frvq4vzbejbcdnckmomdgnbe
Integrated Product Data Management Based on a Uniform User Interface
[chapter]
2000
Advances in Networked Enterprises
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The presented approach also includes a powerful and uniform user interface for product data management. ...
This paper illustrates how integrated rule-based product data management on the one hand significantly reduces the amount of product data that has to be administrated and how integrated product data management ...
In this paper a concept for integrated rule-based product data management is introduced which compensates the mentioned problems of existing systems in the field of product data exchange and product data ...
doi:10.1007/978-0-387-35529-0_33
fatcat:pf4gkhl4nbduzf7uoegaizekaq
Discovering business intelligence from online product reviews: A rule-induction framework
2012
Expert systems with applications
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The large volume of review data makes it difficult to manually analyze customers' concerns. ...
The findings have important implications for market sentiment analysis and e-commerce reputation management. ...
Understanding this correlation in large amounts of online review data could help e-commerce managers to make effective decisions on brand management, product promotion, and reputation management. ...
doi:10.1016/j.eswa.2012.02.059
fatcat:h5joczpeonfz3cor7by5a4pgvu
Facing Fault Management as It Is, Aiming for What You Would Like It to Be
[chapter]
2002
Lecture Notes in Computer Science
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In this paper two key fault management approaches are considered: (i) rule discovery to attempt to present fewer symptoms with greater diagnostic assistance for the more traditional rule based system approach ...
Telecommunication systems are built with extensive redundancy and complexity to ensure robustness and quality of service. Such systems requires complex fault identification and management tools. ...
The author is greatly indebted to the Industrial Research and Technology Unit (IRTU) (Start 187-The Jigsaw Programme, 1999-2002) for funding this work jointly with Nortel Networks. ...
doi:10.1007/3-540-46019-5_3
fatcat:3nizbbjohvh3ranie5ydswv4hy
Page 34 of Journal of Systems Management Vol. 32, Issue 9
[page]
1981
Journal of Systems Management
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The third and final rule is that the managers who acquire micro computers must not ask data process- ing to take over their orphan systems. Such manag- ers are on their own. ...
JOURNAL OF SYSTEMS MANAGEMENT ...
Treatment of Rules in Individual Metadata of Flexible Contents Management
2006
22nd International Conference on Data Engineering Workshops (ICDEW'06)
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It is important to treat each stored object in different manners to re ect its properties in the data management for the large amount of stored data. ...
The properties of contents stored in a computer system are very wide while the data volume treated in the system becomes very large. ...
Introduction The efficient management for large amount of data has been strongly required because the data volume stored in a computer system increases explosively. ...
doi:10.1109/icdew.2006.153
dblp:conf/icde/OhtaKKTY06
fatcat:bhlzsu2rbnakpmiwcalejdqtdy
Design of Teaching Quality Analysis and Management System for PE Courses Based on Data-Mining Algorithm
2022
Computational Intelligence and Neuroscience
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This article describes the design approach for a data mining-based analysis and management system for PE course teaching quality, as well as the application of information technology and data mining technology ...
In today's universities, the Web-based integrated academic management information system is widely used, promoting higher education management system innovation and improving the management level of education ...
By setting the maximum available size of the programme, it is shown that this data-mining arithmetic can extract association rules for large data sets in a small memory space. ...
doi:10.1155/2022/6830375
pmid:35685145
pmcid:PMC9173939
fatcat:fz4ejhcvqbcsxesxljlnwf4smu
Managing large collections of data mining models
2008
Communications of the ACM
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Building a system to help data analysts construct and manage large collections of models is a pressing issue. Consider a credit-card marketing application. ...
As more and more data has been collected and realworld problems have become more complex, it has become increasingly difficult for that data analyst to build all the required models and manage them manually ...
The main idea was to integrate data mining and database management systems and extend SQL to include operators for constrained rule mining. M-SQL also allows limited querying of mined rules. ...
doi:10.1145/1314215.1314230
fatcat:3hnenvfterajjeykxiackk47je
Managing large collections of data mining models
2008
Communications of the ACM
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The file type is application/pdf.
Building a system to help data analysts construct and manage large collections of models is a pressing issue. Consider a credit-card marketing application. ...
As more and more data has been collected and realworld problems have become more complex, it has become increasingly difficult for that data analyst to build all the required models and manage them manually ...
The main idea was to integrate data mining and database management systems and extend SQL to include operators for constrained rule mining. M-SQL also allows limited querying of mined rules. ...
doi:10.1145/1314215.1340920
fatcat:45hz3l26s5hxteq7qu7uanctpe
AstroCloud, a Cyber-Infrastructure for Astronomy Research: Architecture
[article]
2014
arXiv
pre-print
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In this paper, the architecture and key designs of the AstroCloud platform are introduced, including data access middleware, access control and security framework, extendible proposal workflow, and system ...
observational astronomy based on big data, from proposal submission, to data archiving, data release, and to in-situ data analysis and processing. ...
. the Telescope system, manage the observed data through the Data system, and perform data processing and analysis using VMs (virtual machine) in the Cloud system or more powerful physical clusters in ...
arXiv:1411.5070v1
fatcat:anohq4qukvd75ib7t2qhekk5w4
Evaluation of a commercial rule engine as a basis for a clinical decision support service
2006
AMIA Annual Symposium Proceedings
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We note that the major bottleneck to application performance is the ability to rapidly deliver patient data to the rule engine for execution. ...
We report on the use of a commercially-available rule engine system-iLog Rules-as the basis for a series of prototypes typifying Partners decision support applications. ...
Key to promoting these findings from prototype to viable systems will be the codevelopment of an efficient retrieval system for moving large blocks of patient data to the decision support engine on-demand ...
pmid:17238350
pmcid:PMC1839377
fatcat:rbq6oi7nn5azldsc4b77mfajvu
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