Design and Research on Data Warehouse of Insurance Industry

2014 ◽  
Vol 496-500 ◽  
pp. 2108-2111
Author(s):  
Jian Hu Zhang ◽  
Lei Lei ◽  
Xin You Cui ◽  
Yong Wu ◽  
Lin Tao Li
Keyword(s):  
Data Mining ◽  
Data Warehouse ◽  
Domain Knowledge ◽  
Insurance Industry ◽  
Basic Flow ◽  
Logical Model ◽  
Mining Technology ◽  
Concept Model ◽  
Design And Implementation

Through in-depth understanding of the domain knowledge of insurance and the study of the technology of data warehouse, the paper illustrate the application of data mining technology and data warehouse technology in the insurance clients analysis, and from the basic flow of, discusse the application of data warehouse technology in the field of insurance industry. Then, from the concept of data warehouse, describe the design and implementation of data warehouse concept model and logical model.

A Holistic View of Big Data

Big Data ◽  
2016 ◽  
pp. 73-84 ◽  
Author(s):  
Won Kim ◽  
Ok-Ran Jeong ◽  
Chulyun Kim
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Open Source ◽  
Data Warehouse ◽  
Social Web ◽  
Web Data ◽  
Mining Technology ◽  
Holistic View

Today there is much hype about big data. The discussions seem to revolve around data mining technology, social Web data, and the open source platform of NoSQL and Hadoop. However, database, data warehouse and OLAP technologies are also integral parts of big data. Big data involves data from all sources, not just social Web data. Further, big data requires not only technology, but also a painstaking process for identifying, collecting, and preparing sufficient amounts of relevant data. This paper provides a holistic view of big data.

scholarly journals MOBILITY ATLAS BOOKLET: AN URBAN DASHBOARD DESIGN AND IMPLEMENTATION

2018 ◽  
Vol IV-4/W7 ◽  
pp. 51-58
Author(s):  
L. Gabrielli ◽  
M. Rossi ◽  
F. Giannotti ◽  
D. Fadda ◽  
S. Rinzivillo
Keyword(s):  
Data Mining ◽  
Mobile Phone ◽  
Public Transport ◽  
Visual Analytics ◽  
Domain Knowledge ◽  
Decision Makers ◽  
Data Sources ◽  
Electrical Mobility ◽  
Sustainability Index ◽  
Design And Implementation

<p><strong>Abstract.</strong> The new data sources give the possibility to answer analytically the questions that arise from mobility manager. The process of transforming raw data into knowledge is very complex, and it is necessary to provide metaphors of visualizations that are understandable to decision makers. Here, we propose an analytical platform that extracts information on the mobility of individuals from mobile phone by applying Data Mining methodologies. The main results highlighted here are both technical and methodological. First, communicating information through visual analytics techniques facilitates understanding of information to those who have no specific technical or domain knowledge. Secondly, the API system guarantees the ability to export aggregates according to the granularity required, enabling other actors to produce new services based on the extracted models. For the future, we expect to extend the platform by inserting other layers. For example, a layer for measuring the sustainability index of a territory, such as the ability of public transport to attract private mobility or the index that measures how many private vehicle trips can be converted into electrical mobility.</p>

A Holistic View of Big Data

2014 ◽  
Vol 10 (3) ◽  
pp. 59-69 ◽  
Author(s):  
Won Kim ◽  
Ok-Ran Jeong ◽  
Chulyun Kim
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Open Source ◽  
Data Warehouse ◽  
Social Web ◽  
Web Data ◽  
Mining Technology ◽  
Holistic View

Today there is much hype about big data. The discussions seem to revolve around data mining technology, social Web data, and the open source platform of NoSQL and Hadoop. However, database, data warehouse and OLAP technologies are also integral parts of big data. Big data involves data from all sources, not just social Web data. Further, big data requires not only technology, but also a painstaking process for identifying, collecting, and preparing sufficient amounts of relevant data. This paper provides a holistic view of big data.

scholarly journals Application of Data Mining in an Intelligent Early Warning System for Rock Bursts

Processes ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 55 ◽  
Author(s):  
Xuejun Zhu ◽  
Xiaona Jin ◽  
Dongdong Jia ◽  
Naiwei Sun ◽  
Pu Wang
Keyword(s):  
Data Mining ◽  
Data Warehouse ◽  
Rock Burst ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Monitoring Data ◽  
Efficient Production ◽  
Mining Technology ◽  
Rock Bursts

In view of rock burst accidents frequently occurring, a basic framework for an intelligent early warning system for rock bursts (IEWSRB) is constructed based on several big data technologies in the computer industry, including data mining, databases and data warehouses. Then, a data warehouse is modeled with regard to monitoring the data of rock bursts, and the effective application of data mining technology in this system is discussed in detail. Furthermore, we focus on the K-means clustering algorithm, and a data visualization interface based on the Browser/Server (B/S) mode is developed, which is mainly based on the Java language, supplemented by Cascading Style Sheets (CSS), JavaScript and HyperText Markup Language (HTML), with Tomcat, as the server and Mysql as the JavaWeb project of the rock burst monitoring data warehouse. The application of data mining technology in IEWSRB can improve the existing rock burst monitoring system and enhance the prediction. It can also realize real-time queries and the analysis of monitoring data through browsers, which is very convenient. Hence, it can make important contributions to the safe and efficient production of coal mines and the sustainable development of the coal economy.

Design and Implementation of the Web Service-Based Archives Management System of Universities

2013 ◽  
Vol 760-762 ◽  
pp. 950-953
Author(s):  
Shu Min Cui
Keyword(s):  
Data Mining ◽  
Web Service ◽  
Detailed Analysis ◽  
Business Model ◽  
Management System ◽  
Database Design ◽  
Model Design ◽  
Mining Technology ◽  
Design And Implementation ◽  
The Web

In this paper, the author introduces the functional structure of the web service-based archives management system in detail, including its functional chart and main functions, database design and business model design, and meanwhile makes a detailed analysis and argumentation about the application of data mining technology in the archival service.

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