Simulation of Data Mining System Design in Database

2014 ◽  
Vol 989-994 ◽  
pp. 2020-2023
Author(s):  
Rui Ying Zheng
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Performance Optimization ◽  
Optimization Method ◽  
Mining System ◽  
Lower Efficiency ◽  
Related Data ◽  
Data Query ◽  
Data Mining System ◽  
Data Inquiry

The design of data mining system in database is researched. Vast amounts of information contained in the database, and the data show the diversity of characteristics, resulting in lower efficiency of data mining in database, which database brought greater difficulties to information query. To avoid these shortcomings, database performance optimization method based on cloud computing is proposed. The model of cloud computing data relationship is established to describe the connection between related data inthe database, thus providing the basis for data query. The load state of data nodes is calculated to enable rapid information inquiryin the database. Experimental results show that using this algorithm to optimize data inquiry in database can improve the efficiency of informationinquiry indatabase effectively.

The Development of Data Mining System Based on Cloud Computing

2014 ◽  
Vol 926-930 ◽  
pp. 2280-2283
Author(s):  
Qiong Ren
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Current Data ◽  
Mining System ◽  
Computing Platform ◽  
Data Mining Algorithms ◽  
Cloud Computing Platform ◽  
Data Mining System ◽  
Process Cost ◽  
Mining Algorithms

With the increasing of input data size, process cost will be very long, for the explosive growth of the Internet data even reached the point of single machine can handle. This article mainly introduces the architecture of the concept of cloud computing and, the mainstream of the analysis of the current data mining algorithms, based on cloud computing to develop the data mining system, providing the operation feasibility of data mining in cloud computing platform, having strong guiding significance.

Design of Data Mining System Based on Cloud Computing

2020 ◽  
Author(s):  
Yang Xiao ◽  
Guanyu Ouyang ◽  
Qian Liu ◽  
Dashun Liao ◽  
Yongjia Li ◽  
...  
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Mining System ◽  
Data Mining System

Key Methodologies for Designing Big Data Mining Platform Based on Cloud Computing

2016 ◽  
pp. 190-196
Author(s):  
Kiran Kumar S V N Madupu
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Big Data ◽  
Mining Area ◽  
Mining System ◽  
Big Data Mining ◽  
Key Technologies ◽  
Data Mining System

Cloud Computing plays a big function in the in data mining area of numerous sectors in today's culture. Building the data mining system based upon cloud computing is useful to accomplish effective data mining This paper evaluates the basic architecture of the big data mining platform based on cloud computing and the key technologies for its building on the basis of relevant concepts of cloud computing and also data mining.

scholarly journals A social media and crowdsourcing data mining system for crime prevention during and post-crisis situations

2016 ◽  
Vol 18 (4) ◽  
pp. 364-382 ◽  
Author(s):  
Konstantinos Domdouzis ◽  
Babak Akhgar ◽  
Simon Andrews ◽  
Helen Gibson ◽  
Laurence Hirsch
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Crime Prevention ◽  
Mining System ◽  
Content Type ◽  
Data Mining Techniques ◽  
Related Data ◽  
Data Mining Algorithms ◽  
Data Mining System ◽  
Crisis Situations

Purpose A number of crisis situations, such as natural disasters, have affected the planet over the past decade. The outcomes of such disasters are catastrophic for the infrastructures of modern societies. Furthermore, after large disasters, societies come face-to-face with important issues, such as the loss of human lives, people who are missing and the increment of the criminality rate. In many occasions, they seem unprepared to face such issues. This paper aims to present an automated social media and crowdsourcing data mining system for the synchronization of the police and law enforcement agencies for the prevention of criminal activities during and post a large crisis situation. Design/methodology/approach The paper realized qualitative research in the form of a review of the literature. This review focuses on the necessity of using social media and crowdsourcing data mining techniques in combination with advanced Web technologies for the purpose of providing solutions to problems related to criminal activities caused during and after a crisis. The paper presents the ATHENA crisis management system, which uses a number of data mining techniques to collect and analyze crisis-related data from social media for the purpose of crime prevention. Findings Conclusions are drawn on the significance of social media and crowdsourcing data mining techniques for the resolution of problems related to large crisis situations with emphasis to the ATHENA system. Originality/value The paper shows how the integrated use of social media and data mining algorithms can contribute in the resolution of problems that are developed during and after a large crisis.

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